Βιογραφικό σημείωμα · Σπύρος Α. Κωστόπουλος,...

Βιογραφικό σημείωμα

Κωστόπουλου Σπυρίδωνος

http://www.bme.teiath.gr/staff_Kostopoulos_Spiros.html

ΠΡΟΣΩΠΙΚΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Ονοματεπώνυμο: Σπύρος Κωστόπουλος

Έτος, τόπος γέννησης: 1977, Αθήνα

Εθνικότητα: Ελληνική

Οικογενειακή κατάσταση: Έγγαμος, με ένα παιδί

Στρατιωτική θητεία: Εκπληρωμένη (2002)

Τηλέφωνο: 210-5385375 (εργασία)

E-mail: [email protected]

LinkedIn: https://www.linkedin.com/in/spiros-kostopoulos-4588a34b/

ResearchGate: https://www.researchgate.net/profile/Spiros_Kostopoulos

Academia.edu: https://teiath.academia.edu/SpirosAKostopoulos

Google Scholar: https://scholar.google.gr/citations?hl=el&user=tqQaJWoAAAAJ

ORCID: https://orcid.org/0000-0003-0223-2502

Scopus Author ID: 23389643900

Σημερινή Ιδιότητα: Επίκουρος Καθηγητής, Τμήμα Μηχανικών Βιοϊατρικής, Πανεπιστήμιο Δυτικής

Αττικής

1. ΕΚΠΑΙΔΕΥΣΗ

1.1 2005-2009 ΔΙΔΑΚΤΟΡΙΚΟ (PhD) – Διατμηματικό Μεταπτυχιακό Πρόγραμμα στην Ιατρική

Φυσική, Τμήμα Ιατρικής – Τμήμα Φυσικής, Πανεπιστήμιο Πατρών.

1.2 2003-2004

ΜΕΤΑΠΤΥΧΙΑΚΟ (MSc) – Μεταπτυχιακό στην Ιατρική Φυσική (Medical Physics),

Τμήμα Φυσικής, Σχολή Ηλεκτρονικών και Φυσικών Επιστημών, Πανεπιστήμιο του

Surrey, Μεγάλη Βρετανία. Αρ. Αναγνώρισης ΔΙΚΑΤΣΑ 26-1460 / 2005.

1.3 1996-2000 ΠΡΟΠΤΥΧΙΑΚΟ (BSc) – Μηχανικός Τεχνολογίας Ιατρικών Οργάνων, TEI Αθήνας,

Σχολή Τεχνολογικών Εφαρμογών, Τμήμα Τεχνολογίας Ιατρικών Οργάνων.

2. ΕΠΑΓΓΕΛΜΑΤΙΚΗ ΕΜΠΕΙΡΙΑ

2.1 2014-2015

Κύριος ερευνητής: (10/07/2014 – 30/09/2015). Ερευνητικό Πρόγραμμα «Διμερής Ε&Τ

Συνεργασία Ελλάδας-Ισραήλ 2013-2015», Κωδικός Έργου: ISR3233, MARK1 - Ένα

Σύστημα Υποστήριξης Αποφάσεων για την Έγκαιρη Διάγνωση του Κακοήθους

Μελανώματος.

1 χρόνο και 3 μήνες

2.2 2013-2015

Κύριος ερευνητής: (01/06/2013 – 30/09/2015). Ερευνητικό Πρόγραμμα «Διμερής Ε&Τ

Συνεργασία Ελλάδας-Κίνας 2012-2014», Κωδικός Έργου: 12CHN181, Multi-Channel

Microwave Radiometry for Internal Body Temperature Measurements [MMR-IBTM].

2 χρόνια και 4 μήνες.

2.3 2013-2015

Μεταδιδακτορικός ερευνητής: (01.01.2013 –31.05.2015). Ερευνητικό Πρόγραμμα

«Αρχιμήδης III - Ενίσχυση ερευνητικών ομάδων στα ΤΕΙ», ΥΕ47: Ανάπτυξη

συστήματος ταξινόμησης ηλεκτροεγκεφαλογραφικών προκλητών δυναμικών

σχετιζόμενων με παρατήρηση ορθών ή λανθασμένων δράσεων.

2 χρόνια και 5 μήνες

2.4 2012-2014

Κύριος ερευνητής: (01.03.2012 –30.11.2014). Ερευνητικό Πρόγραμμα «Αρχιμήδης III

- Ενίσχυση ερευνητικών ομάδων στα ΤΕΙ», ΥΕ17: Ανάλυση φασμάτων μάζας

πρωτεϊνών για ταυτοποίηση βιοδεικτών καρκίνου του προστάτη.

2 χρόνια και 9 μήνες

2.5 2012-2014

Κύριος ερευνητής: (01.11.2012 –30.11.2014). Ερευνητικό Πρόγραμμα «Αρχιμήδης III

- Ενίσχυση ερευνητικών ομάδων στα ΤΕΙ», ΥΕ10: Υπολογιστικό σύστημα

υποβοήθησης απόφασης, συνδυάζοντας πληροφορία από εικόνες μαστογραφίας και

μικροσκοπίας, για την βελτίωση της διαγνωστικής ακρίβειας και τον καθορισμό

http://www.bme.teiath.gr/staff_Kostopoulos_Spiros.html

mailto:[email protected]

https://www.linkedin.com/in/spiros-kostopoulos-4588a34b/

https://www.researchgate.net/profile/Spiros_Kostopoulos

https://teiath.academia.edu/SpirosAKostopoulos

https://scholar.google.gr/citations?hl=el&user=tqQaJWoAAAAJ

https://orcid.org/0000-0003-0223-2502

https://www.scopus.com/authid/detail.uri?authorId=23389643900

Σπύρος Α. Κωστόπουλος, Μηχανικός Βιοϊατρικής Τεχνολογίας ΤΕ – Βιογραφικό Σημείωμα 2

αποτελεσματικότερης θεραπευτικής αγωγής στον καρκίνο του μαστού.

2 χρόνια και 1 μήνα

2.6 2011-2012

Συντονιστής και κύριος ερευνητής: (02.2011-01.2012). ΙΚΥ, Ερευνητικό Πρόγραμμα:

“Ανάπτυξη υπολογιστικού συστήματος για την επεξεργασία, ανάλυση και ταξινόμηση

πρωτεωμικών σημάτων φασματοσκοπίας μάζας για τον προσδιορισμό βιοδεικτών στο

καρκίνο της ουροδόχου κύστεως”.

12 μήνες

2.7 2008

Συνεργάτης: (20.08.2008-10.12.2008). ΓΓΕΤ - Επιχειρησιακό Πρόγραμμα

Ανταγωνιστικότητα και Επιχειρηματικότητα 2007-2013 (ΕΠΑΝ ΙΙ): “Σύγχρονη

Πραγματικότητα και Μελλοντικές Προοπτικές της Ιατρικής Τεχνολογίας: Θετικές

Επιδράσεις και Δυνατότητες για την Ελληνική Κοινωνία, την Ακαδημαϊκή Κοινότητα

και Βιομηχανία (MED1-TECH-NEWS)”.

3 μήνες και 23 ημέρες

2.8 2007-2008

Ερευνητής: (1.09.2007-31.10.2008). Επιτροπή Ερευνών - Πανεπιστήμιο Πατρών,

Ερευνητικό Πρόγραμμα Κ.ΚΑΡΑΘΕΟΔΩΡΗΣ 2004/B411: “Λειτουργική Στιγματική

(Speckle) Λέιζερ Απεικόνιση (functional Laser Speckle Imaging, fLSI) του Εγκεφάλου

με Βελτιωμένη Χωρική και Χρονική Ανάλυση για εφαρμογές στις Νευροεπιστήμες”.

1 χρόνο και 2 μήνες

2.9 2006

Συνεργάτης: (1.01.2006-31.05.2006). Επιτροπή Ερευνών - Πανεπιστήμιο Πατρών,

Ερευνητικό Πρόγραμμα: “IST-2001-38911: Self organized societies of connectionist

intelligent agents capable of learning”.

5 μήνες

2.10 2003

Συνεργάτης: (07/01/2003-10/11/2003). Επαγγελματική Κατάρτηση ΑΕ., ΤΕΕ

Ηρακλείου, “Εξειδίκευση σε θέματα Διοικητικής Υποστήριξης”.

9 μήνες

3. ΔΙΔΑΚΤΙΚΗ ΕΜΠΕΙΡΙΑ ΣΕ ΙΔΡΥΜΑΤΑ ΑΝΩΤΑΤΗΣ ΕΚΠΑΙΔΕΥΣΗΣ

ΠΡΟΠΤΥΧΙΑΚΑ

3.1 2017-σήμερα

Επίκουρος καθηγητής, Τμήμα Μηχανικών Βιοιατρικής Τεχνολογίας, Σχολή

Τεχνολογικών Εφαρμογών, TEI Αθήνας

Προπτυχιακά Μαθήματα:

1. Προγραμματισμός ΗΥ

2. Σχεδιασμός και Κατασκευή Ηλ/κών Συστημάτων-Ι

3. Σχεδιασμός και Κατασκευή Ηλ/κών Συστημάτων-ΙI

3.2 2013-2017

Εργαστηριακός Συνεργάτης, Τμήμα Μηχανικών Βιοιατρικής Τεχνολογίας, Σχολή






3.3 2008-2013

Εργαστηριακός Συνεργάτης, Τμήμα Τεχνολογίας Ιατρικών Οργάνων, Σχολή



1. Μηχανολογικό Σχέδιο

2. Ηλεκτρονικό & Ηλεκτρολογικό σχέδιο με βοήθεια Η/Υ




6. Επεξεργασία και Ανάλυση Ιατρικού Σήματος και Εικόνας-ΙΙ

3.4 2005-2006 Επικουρικό Έργο στα πλαίσια του Προγράμματος - «Υποστήριξη εκπαιδευτικών και

ερευνητικών δραστηριοτήτων του Τμήματος Ιατρικής»

ΜΕΤΑΠΤΥΧΙΑΚΑ

3.5 2014-2017

Π.Μ.Σ – “ Προηγμένα Συστήματα και Μέθοδοι στη Βιοϊατρική Τεχνολογία”,

Τμήμα Βιοιατρικής Τεχνολογίας, Σχολή Τεχνολογικών Εφαρμογών, TEI Αθήνας

Μεταπτυχιακά Μαθήματα:

• Τεχνολογίες Πληροφορικής στην Ιατρική και τις άλλες Βιοεπιστήμες

• Προχωρημένες Μέθοδοι Ψηφιακής Επεξεργασίας Σήματος και Εικόνας

3.6 2015

Π.Μ.Σ “Βιοϊατρικές Μέθοδοι και Τεχνολογία στη Διάγνωση”, Τμήμα Ιατρικών

Εργαστηρίων, Σχολή Επαγγελμάτων Υγείας και Πρόνοιας, TEI Αθήνας.

Μεταπτυχιακό Μάθημα:

• Μορφομετρική μελέτη νεοπλασματικών όγκων με σύστημα ανάλυσης εικόνας


3.7 2010-2016

Π.Μ.Σ “Ιατρική Φυσική”, Τμήμα Ιατρικής–Τμήμα Φυσικής, Σχολή Επιστημών

Υγείας, Πανεπιστήμιο Πατρών.

Μεταπτυχιακό Μάθημα:

• Μαθηματική Επεξεργασία και Ανάλυση Εικόνων

4. ΑΛΛΗ ΔΙΔΑΚΤΙΚΗ ΕΜΠΕΙΡΙΑ

4.1 2008-2009

Εκπαιδευτικός, Ιδιωτικό Ινστιτούτο Επαγγελματικής Κατάρτισης ΔΟΜΗ

Μαθήματα (476 ώρες):

1. Ψηφιακά Ηλεκτρονικά

2. Σύγχρονες Τεχνολογίες Τηλεπικοινωνιών

3. Κινητή Τηλεφωνία

4. Ηλεκτρονικά

5. Επεξεργασία Κειμένου

5. ΕΡΕΥΝΗΤΙΚΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ (Παράρτημα Α)

Το σύνολο των δημοσιεύσεων είναι 127 εκ των οποίων οι 43 είναι πλήρη άρθρα (6 περιλήψεις) σε διεθνή

περιοδικά με κριτές, οι 44 είναι πλήρη άρθρα σε τόμους πρακτικών διεθνών συνεδρίων με κριτές και οι 34 είναι

περιλήψεις σε τόμους πρακτικών διεθνών (25) και ελληνικών (9) συνεδρίων με κριτές, όπως φαίνεται στον

παρακάτω πίνακα:

Δημοσιεύσεις σε διεθνή έγκριτα

περιοδικά

σε τόμους πρακτικών

συνεδρίων με κριτές Σύνολο

Πλήρη Άρθρα 39 (με IF) (JP) +4 (JO) 44 (CP) 87

Περιλήψεις 6 (JA) 34 (CA) 40

Σύνολο 49 78 127

6. ΕΤΕΡΟΑΝΑΦΟΡΕΣ (Παράρτημα Β)

Το σύνολο των αναφορών είναι 380 (350+30), h=11 (εκ των οποίων οι 350 είναι ετεροαναφορές του

συγγραφέα, h=10), όπως φαίνεται στον παρακάτω πίνακα:

Δημοσιεύσεις

Παραπομπές σε διεθνή περιοδικά σε διεθνή συνέδρια Σύνολο

…από διεθνή περιοδικά (JP) 202 48 250

…από πρακτικά συνεδρίων (CP) 29 20 49

…από κεφάλαια βιβλίων (BC) 18 3 21

…από Διδ. Διατριβές (PhD) 25 4 29

…από πατέντες (PT) 0 1 1

Σύνολο 274 76 350


7. ΑΛΛΗ ΣΥΓΓΡΑΦΙΚΗ ΔΡΑΣΤΗΡΙΟΤΗΤΑ

Πτυχιακή εργασία: “Τεχνικές αντιστροφής Ηλεκτροεγκεφαλογραφήματος” (επιβλέπων Καθηγητής Ε.

Βεντούρας, email: [email protected]).

Μεταπτυχιακή

διπλ/κή εργασία:

“Εξομοίωση σκεδαζόμενων φωτονίων Compton σε Τομογραφία Εκπομπής

Ποζιτρονίων με τη χρήση του MCNP” (επιβλέπων Καθηγητής N.M. Spyrou,

email: [email protected]).

Διδακτορική διατριβή:

“Ανάπτυξη μεθόδων βασισμένων στην εποπτευόμενη και μη εποπτευόμενη

ταξινόμηση εικονοστοιχείων για την τμηματοποίηση ιατρικών εικόνων” (τριμελής

συμβουλευτική επιτροπή: Καθηγητής Γ.Νικηφορίδης, email:

[email protected], Καθηγητής Δ.Σιαμπλής και Καθηγητής Δ.Κάβουρας

email: [email protected]).

8. ΑΛΛΗ ΕΡΕΥΝΗΤΙΚΗ/ΕΚΠΑΙΔΕΥΤΙΚΗ ΔΡΑΣΤΗΡΙΟΤΗΤΑ

8.1 Συμμετοχή σε επιστημονικές & οργανωτικές επιτροπές διεθνών συνεδρίων

Μέλος της επιτροπής δημοσιεύσεων του διεθνούς συνεδρίου 2nd Conference on Bio-Medical

Instrumentation and related Engineering and Physical Sciences (BIOMEP 2013,

http://biomep.teiath.gr/2013/committees.html), Athens, June 21-22, 2013.

Μέλος της επιστημονικής επιτροπής του διεθνούς συνεδρίου International Conference on Bio-

Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2015,

http://biomep.teiath.gr/2015/committees.html), Athens, June 18-20, 2015.

8.2 Συμμετοχή σε προεδρεία διεθνών συνεδρίων

Συμμετοχή στο προεδρείο της συνεδρίας “Oral Session 2” του διεθνούς Workshop on Bio-Medical

Instrumentation and related Engineering and Physical Sciences (BIOMEP 2012,

http://biomep.teiath.gr/2012/), Athens, Friday July 6th, 2012.

Συμμετοχή στο προεδρείο της συνεδρίας “Parallel Poster Session-B” του διεθνούς International

Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP

2015, http://biomep.teiath.gr/2015/program.html), Athens, June 18-20, 2015.

8.3 Συμμετοχή σε τριμελής επιτροπές Μεταπτυχιακών Διπλωματικών Εργασιών

1 Λούης Παπαγεωργίου / ΠΙΒ059, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Σχολή Θετικών

Επιστήμων, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Διιδρυματικό Πρόγραμμα Μεταπτυχιακών

Σπουδών "Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία", Διπλωματική Εργασία:

«Σύστημα αυτόματης διάγνωσης ιστοπαθολογικών εικόνων μικροσκοπίας», υποστήριξη:

12/06/2013.

2 Ευαγγελία Α. Κοτσιλίτη / ΠΙΒ049, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Σχολή

Θετικών Επιστήμων, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Διιδρυματικό Πρόγραμμα

Μεταπτυχιακών Σπουδών "Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία", Διπλωματική

Εργασία: «Σχεδιασμός συστήματος αναγνώρισης προτύπων για διαχωρισμό ισχαιμικών αλλοιώσεων

από σκλήρυνση κατά πλάκας σε εικόνες Μαγνητικής Τομογραφίας εγκεφάλου», υποστήριξη:

19/07/2013.

3 Βασιλική Τσιμπίδα / ΠΙΒ 069, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Σχολή Θετικών



«Σύστημα αυτόματης διάγνωσης καρκίνου θυρεοειδούς αδένα από κυτταρολογικές εικόνες»,

υποστήριξη: 19/07/2013.

4 Αικατερίνη Β. Ρώτα / ΠΙΒ11077, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Σχολή Θετικών



«Σύστημα αυτόματης διάγνωσης προ-καρκινικών αλλοιώσεων λόγω HPV-λοίμωξης τραχήλου

μήτρας από ιστοπαθολογικές εικόνες», υποστήριξη: 10/04/2014.

5 Μαριόλα Α. Θάναϊ / ΠΙΒ0122, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Σχολή Θετικών



«Επεξεργασία Ηλεκτροεγκεφαλογραφήματος ασθενών με φλοιώδη άνοια», υποστήριξη: 15/04/2016.

6 Σταυρούλα Μακρή / ΑΜ: 14013, ΤΕΙ Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα

Βιοϊατρικής Τεχνολογίας, Προηγμένα Συστήματα και Μέθοδοι στη Βιοϊατρική Τεχνολογία,





http://biomep.teiath.gr/

http://biomep.teiath.gr/2015/committees.html

http://biomep.teiath.gr/2012/

http://biomep.teiath.gr/2015/program.html


Στατιστικό μοντέλο υποβοήθησης λήψης αποφάσεων για τη Συντήρηση Εξοπλισμού Βιοϊατρικής

Τεχνολογίας Νοσηλευτικών Ιδρυμάτων, υποστήριξη: 27/05/2016.

7 Βασίλης Κοτζαμπουγικ / ΑΜ: 1507, ΤΕΙ Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα


Βοήθημα πλοήγησης για ανθρώπους με προβλήματα όρασης, υποστήριξη: 12/05/2017.

8 Κωνσταντίνος Γκολφινόπουλος / Α.Μ: 14003, ΤΕΙ Αθήνας, Σχολή Τεχνολογικών Εφαρμογών,

Τμήμα Βιοϊατρικής Τεχνολογίας, Προηγμένα Συστήματα και Μέθοδοι στη Βιοϊατρική Τεχνολογία,

«Έξυπνο» Σπιτι Για Την Υποβοηθηση Ατομων Με Κινητικες Δυσκολιες, υποστήριξη: 16/11/2017.

9 Θεοχάρη Δούρα / Α.Μ: 1503, Ορέστη Τσιτσιγκρώνη / Α.Μ: 14024, ΤΕΙ Αθήνας, Σχολή

Τεχνολογικών Εφαρμογών, Τμήμα Βιοϊατρικής Τεχνολογίας, Προηγμένα Συστήματα και Μέθοδοι

στη Βιοϊατρική Τεχνολογία, Ανάπτυξη Διάταξης Σκανδαλισμού Για Σύστημα Μαγνητικού

Πυρηνικού Συντονισμού, υποστήριξη: 20/11/2017.

10 Κωνσταντίνος Σταυρίδης / Α.Μ: 14021, ΤΕΙ Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα


Σχεδιασμός και κατασκευή τράπεζας συγκράτησης δειγμάτων μικροσκοπίου ελεγχόμενη από

μικροεπεξεργαστή με δυνατότητα 4 βαθμών ελευθερίας κίνησης (xyz και περιστροφή), υποστήριξη:

11/01/2018.

8.4 Συμμετοχή σε τριμελής επιτροπές Πτυχιακών εργασιών (Προπτυχιακό επίπεδο, Τμήμα Μηχανικών

Βιοϊατρικής Τεχνολογίας, ΤΕΙΑ)

1 Τσαδάρης Αλέξανδρος (ΑΜ:), Τσαδάρης Νικόλαος (ΑΜ:), Μελέτη μεταβολής του καρδιακού

ρυθμού κατά τη μετάβαση από εγκεφαλικό ρυθμό άλφα σε βήτα, Πτυχιακή, ΤΙΟ, 2010.

2 Θωμάς Κούρτης (ΑΜ:), Ηλεκτρονικό σύστημα παρακολούθησης καρδιακού ρυθμού, Πτυχιακή,

ΤΙΟ, 2013.

3 Όλγα Τσιλιμπή (ΑΜ: 09080), Αναστασία Τσιόγγα (ΑΜ: 09081), Λελιόνα-Μαρία Φραταράκου (ΑΜ:

09085), Σχεδίαση Δικτύου Νοσοκομείου, Πτυχιακή, ΤΜΒΤ, 16/05/2014.

4 Μαρία Γιαννοπούλου (ΑΜ: 08057), Δημήτριος Λεβέντης (ΑΜ:), Πληροφοριακά Συστήματα Υγείας:

Θεωρία και Εφαρμογή, Πτυχιακή, ΤΜΒΤ, 16/05/2014.

5 Λάμπρος Παπαποστόλου (ΑΜ:), Ιωάννης Φειδάκης (ΑΜ:), Μέτρηση Γαλβανικής Απόκρισης

Δέρματος και Καρδιακού Ρυθμού με τη χρήση Arduino, Πτυχιακή, ΤΜΒΤ, 29/10/2014.

6 Διονυσία Τσιρογιάννη (ΑΜ:), Ασύρματα δίκτυα αισθητήρων στην ιατρική, Πτυχιακή, ΤΜΒΤ,

30/10/2014.

7 Στυλιανός Νάνος (ΑΜ: 07082), Ανάπτυξη λογισμικού με βάση δεδομένων για εφαρμογές ιατρείων,

Πτυχιακή, ΤΜΒΤ, 17/03/2015.

8 Ηλίας Νατσιόπουλος (ΑΜ: 09067), Ανάπτυξη εφαρμογής σε Android για τον καθορισμό σκορ

κινδύνου σε παθολογικές εξετάσεις, Πτυχιακή, ΤΜΒΤ, 22/05/2015.

9 Θεοχάρης Δούρας, Σύστημα Καταγραφής Καρδιακού Ρυθμού, Πτυχιακή, ΤΜΒΤ, 04/06/2015.

10 Παναγιώτης Καρπουζίδης (ΑΜ: 08016), Σύστημα καταγραφής οφθαλμικών κινήσεων, Πτυχιακή,

ΤΜΒΤ, 04/06/2015.

11 Δημήτριος Μπινιάρης (ΑΜ: 08074), Νικόλαος Τσιριμώκος, Ασύρματος έλεγχος αμαξιδίου με χρήση

εγκεφαλικών σημάτων, Πτυχιακή, ΤΜΒΤ, 10/06/2015.

12 Εύη Ματθαίου (ΑΜ: 10045), Επεξεργασία Ιατρικών Εικόνων μαστογραφίας για την ανάδειξη

αποτιτανώσεων με τεχνικές ισοστάθμισης ιστογράμματος, Πτυχιακή, ΤΜΒΤ, 16/11/2015.

13 Πέτρος Κοσκινιώτης (ΑΜ: 06020), Μελέτη και υλοποίηση συστήματος PCR, Πτυχιακή, ΤΜΒΤ,

15/03/2016.

14 Ευστράτιος Γιαλούρης (ΑΜ: 10012), Χρήστος Μπουζάκης (ΑΜ: 10085), Ανάπτυξη εφαρμογής σε

περιβάλλον Android για μέτρηση καρδιακού ρυθμού, Πτυχιακή, ΤΜΒΤ, 21/04/2016.

15 Ανθούλα Ντούση (ΑΜ: 11062), Κατασκευή αυτοκινούμενης συσκευής (ρομπότ) με δυνατότητα

αναγνώρισης εμποδίων και λήψη φωνητικών εντολών κίνησης (προσομοίωση λειτουργίας

αναπηρικού αμαξιδίου που δέχεται φωνητικές εντολές), Πτυχιακή, ΤΜΒΤ, 27/05/2016.

16 Ευαγγελία Φωτεινού (ΑΜ: 11092), Έξυπνα σπίτια για ηλικιωμένους και άτομα με κινητικές

δυσκολίες, Πτυχιακή, ΤΜΒΤ, 02/06/2016.

17 Αργύρης Τσακιργιάννης (ΑΜ: 05119), Μελέτη τεχνικών απεικόνισης οφθαλμού - Η περίπτωση της

οπτικής τομογραφίας συνοχής (OCT), ΤΜΒΤ, 02/06/2016.

18 Γρηγόρης Καμάρας (ΑΜ: 08063), Περικλής Παπαράκης (ΑΜ: 08080), Κατασκευή Ανιματρονικού

Χεριού, ΤΜΒΤ, 03/06/2016.

19 Αρχολέκας Μιχαήλ (ΑΜ: 08053), Ταξινόμηση αστροκυττωμάτων με χρήση προγράμματος

αναγνώρισης προτύπων, ΤΜΒΤ, 29/06/2016.

20 Αποστόλης Μπετχαβάς (AM: 08034), Κωνσταντίνος Ξυπόλιτος (AM: 08036), Επεξεργασία

μαστογραφίας με τεχνικές ισοστάθμισης ιστογράμματος, ΤΜΒΤ, 30/06/2016. (Επιβλέπων)


21 Δημήτριος Κόχυλας (AM: 12032), Θεόδωρος Τσάλτας (AM: 12095), Έλεγχος ρομποτικού βραχίονα

με χρήση kinect, ΤΜΒΤ, 27/10/2016.

22 Δημήτριος Τζαγκαράκης (AM: 10074), Σχεδιασμός και κατασκευή Ηλεκτροκαρδιογράφου, ΤΜΒΤ,

03/11/2016.

23 Μαλαβάκης Έκτωρ (ΑΜ: 10040), Μαλαβάκης Ιάσων (ΑΜ: 08046), Σύστημα παρακολούθησης και

καταγραφής περιβαλλοντικών παραμέτρων σε ιατρικούς χώρους, ΤΜΒΤ, 08/12/2016.

24 Κωνσταντίνος Βλάχος (ΑΜ: 12007), Παναγιώτης Σάμιος (ΑΜ: 12075), Υλοποίηση φορετού

συστήματος αισθητήρων, ΤΜΒΤ, 08/12/2016.

25 Χριστόφορος Στεφανουδάκης (ΑΜ: 12091), Φορητή συσκευή απαγωγής ηλεκτροκαρδιογραφήματος

με δυνατότητα εντοπισμού καρδιακών δυσλειτουργιών, ΤΜΒΤ, 15/03/2017.

26 Ιωάννης Νάστος (ΑΜ: 11060), Ανάπτυξη συστήματος αυτοκινούμενου αμαξιδίου με δυνατότητα

χειρισμού από κινητό τηλέφωνο, ΤΜΒΤ, 24/03/2017.

27 Αθανάσιος Βγενόπουλος (ΑΜ: 10084), Συγκριτική μελέτη αλγορίθμων τμηματοποίησης εικόνων

MRI εγκέφαλου, ΤΜΒΤ, 30/03/2017.

28 Xhiano Mamo (ΑΜ: 12041), Ανέστη Μουσταφάϊ (ΑΜ: 12050), Καταγραφή αναπνευστικού και

καρδιακού ρυθμού μέσω μικροελεγκτή arduino και ενσύρματη μετάδοση δεδομένων, ΤΜΒΤ,

04/05/2017.

29 Ηλίας Αναγνώστου (ΑΜ: 11004), Καταγραφή εταιρειών βιοϊατρικής τεχνολογίας στην Ελλάδα και

στο Εξωτερικό, ΤΜΒΤ, 05/05/2017.

30 Αλεξάνδρα Τζομπανάκη (Α.Μ: 11087), Ολοκληρωμένο σύστημα μέτρησης σακχάρου στο αίμα,

ΤΜΒΤ, 18/05/2017.

31 Ζώης Κωνσταντόπουλος (Α.Μ: 10038), Κατασκευή αυτοκινούμενης συσκευής με δυνατότητα

αναγνώρισης εμποδίων, ΤΜΒΤ, 23/05/2017.

32 Γεώργιος Στρεβλός (Α.Μ: 05053), Εφαρμογή της θερμοκάμερας στη διάγνωση περιφερειακής

αρτηριακής νόσου, ΤΜΒΤ, 23/05/2017.

33 Αντώνιος Χάλαρης (Α.Μ: 11093), Επεξεργασία και ανάλυση εικόνας μικροσκοπίας για την

ανάδειξη, ανίχνευση και ταξινόμηση του καρκίνου του εγκεφάλου ανάλογα με τον βαθμό

κακοήθειας, ΤΜΒΤ, 23/05/2017.

34 Γεώργιος Παπαϊωάνου (Α.Μ: 12061), Δημήτριος Πουλάκης (Α.Μ: 12070), Υλοποίηση ενός έξυπνου

σπιτιού για ηλικιωμένα άτομα ή άτομα με κινητικές δυσκολίες με χρήση Raspberry pi, ΤΜΒΤ,

4/07/2017.

35 Βασίλειος Δελής (ΑΜ: 09008), Δημήτριος Μητροπέτρος (AM: 09027), Μελέτη της εξασθένισης των

ακτίνων Χ συναρτήσει του πάχους και του ατομικού αριθμού συγκεκριμένων υλικών απορρόφησης

με χρήση του εξοπλισμού X-ray apparatus, ΤΜΒΤ, 23/11/2017.

36 Άγουρος Δομένικος-Δημήτριος (Α.Μ. 13002), Δημήτριος Παπαρίζος (Α.Μ. 13081), Χρήση του

υπερήχου στη βελτίωση απεικόνισης και λήψη εικόνας σε ηλεκτρονικό υπολογιστή, ΤΜΒΤ,

15/02/2018.

Επίβλεψη Μεταπτυχιακών Διπλωματικών εργασιών 1 Κοτσιούρου Χριστίνα, Σχεδιασμός συστήματος αναγνώρισης προτύπων (PRsystem) για ταξινόμηση

πρωτεωμικών σημάτων φασματοσκοπίας μάζας (ms-spectra) ωοθηκών σε καλοήθη-κακοήθη, ΠΜΣ

Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία, ΕΚΠΑ, 2010.

2 Κάσσης Βασίλειος, Σύστημα αυτόματης διάγνωσης καρκίνου του μαστού από ιστοπαθολογικές

εικόνες, ΠΜΣ Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία, ΕΚΠΑ, 2011.

3 Σιδεράκης Δημήτριος, Σχεδιασμός και υλοποίηση συστήματος αναγνώρισης προτύπων για

ταξινόμηση πρωτεωμικών σημάτων φασματοσκοπίας μάζας (MS-SPECTRA) ασθενών με καρκίνο

του προστάτη, ΠΜΣ Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία, ΕΚΠΑ, 2011.

4 Σακελλάριος Χρήστος, Σύστημα υποβοήθησης της ταξινόμησης του καρκίνου της ουροδόχου

κύστεως από ιστοπαθολογικές εικόνες, ΠΜΣ Τεχνολογίες Πληροφορικής στην Ιατρική και τη

Βιολογία, ΕΚΠΑ, 2012.

5 Μανετζή Θεοδώρα, Υλοποίηση Συστήματος Υπολογιστικής Ποσοτικοποίησης του Πνευμονικού

Εμφυσήματος σε Εικόνες Αξονικής Τομογραφίας, ΠΜΣ Τεχνολογίες Πληροφορικής στην Ιατρική

και τη Βιολογία, ΕΚΠΑ, 2012.

6 Θεοδόση Αγγελική, Σύστημα επεξεργασίας, ανάλυσης και ταξινόμησης εικόνων δισδιάστατης

ηλεκτροφόρησης με τεχνικές αναγνώρισης προτύπων, ΠΜΣ Τεχνολογίες Πληροφορικής στην

Ιατρική και τη Βιολογία, ΕΚΠΑ, 2012.

7 Παπαγεωργίου Λούης, Σύστημα αυτόματης διάγνωσης ιστοπαθολογικών εικόνων μικροσκοπίας,

ΠΜΣ Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία, ΕΚΠΑ, 2012.

8 Κοτσιλίτη Ευαγγελία, Σχεδιασμός συστήματος αναγνώρισης προτύπων για διαχωρισμό ισχαιμικών

αλλοιώσεων από σκλήρυνση κατά πλάκας σε εικόνες Μαγνητικής Τομογραφίας εγκεφάλου, ΠΜΣ

Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία, ΕΚΠΑ, 2013.

9 Τσιμπίδα Βασιλική, Σύστημα αυτόματης διάγνωσης καρκίνου θυρεοειδούς αδένα από


κυτταρολογικές εικόνες, ΠΜΣ Τεχνολογίες Πληροφορικής στην Ιατρική και τη Βιολογία, ΕΚΠΑ,

2013.

10 Ρώτα Αικατερίνη, Σύστημα αυτόματης διάγνωσης προ-καρκινικών αλλοιώσεων λόγω HPV-

λοίμωξης τραχήλου μήτρας από ιστοπαθολογικές εικόνες, ΠΜΣ Τεχνολογίες Πληροφορικής στην

Ιατρική και τη Βιολογία, ΕΚΠΑ, 2014.

9. ΚΡΙΤΗΣ ΣΕ ΕΠΙΣΤΗΜΟΝΙΚΑ ΠΕΡΙΟΔΙΚΑ – ΣΥΝΕΔΡΙΑ

9.1 ISSN: 1471-2105 - BMC Bioinformatics

9.2 ISSN: 0169-2607 - Computer Methods and Programs in Biomedicine

9.3 ISSN: 0010-4825 - Computers in Biology and Medicine

9.4 ISSN: 1573-3947 - Current Cancer Therapy Reviews

9.5 ISSN: 0952-1976 - Engineering Applications of Artificial Intelligence

9.6 ISSN: 1099-4300 - Entropy

9.7 ISSN: 1580-3139 - Image Analysis & Stereology

9.8 ISSN: 1861-6410 - International Journal of Computer Assisted Radiology and Surgery

9.9 ISSN: 1386-5056 - International Journal of Medical Informatics

9.10 ISSN: 1422-0067 - International Journal of Molecular Sciences

9.11 ISSN: 1357-633X- Journal of Telemedicine and Telecare

9.12 ISSN: 2473-4209 - Medical Physics

9.13 ISSN: 0941-0643 - Neural Computing and Applications

9.14 ISSN: 0893-6080 - Neural Networks

9.15 ISSN: 2193-1801 - SpringerPlus

9.16 4 Reviews: 19th International Conference on Pattern Recognition, Tampa, USA, ICPR 2008.

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4760923

9.17 7 Reviews: 20th International Conference on Pattern Recognition, Istanbul, Turkey, ICPR 2010.


9.18 8 Reviews: 21st International Conference on Pattern Recognition, Tsukuba, Japan, ICPR 2012.


9.19 5 Reviews: 22nd International Conference on Pattern Recognition, Stockholm, Sweden, ICPR 2014.


9.20 4 Reviews: International Conference on Bio-Medical Instrumentation and related Engineering and

Physical Sciences, Athens, Greece, BIOMEP 2015. http://biomep.teiath.gr/2015/committees.html

9.21 3 Reviews: 23rd International Conference on Pattern Recognition, Cancun, Mexico, ICPR 2016.

9.22 3 Reviews: International Conference on Bio-Medical Instrumentation and related Engineering and

Physical Sciences, Athens, Greece, BIOMEP 2017.

10. ΠΡΟΣΚΕΚΛΗΜΕΝΕΣ ΟΜΙΛΙΕΣ

10.1

MEDICEXPO 2008, Ολυμπιακές

εγκαταστάσεις, Ελληνικό

27-30/03/2008

Development of histopathological image analysis method for

quantification ER in breast cancer.

http://biomep.teiath.gr/2014/docs/Workshop_BIOMEP_TEIBIT

_V4.pdf

10.2

European Conference of Medical

Physics - Workshop on Biomedical

Instrumentation and Related

Engineering and Physical Sciences

13/09/2014

Pattern recognition techniques in biological data analysis,

http://www.bme.teiath.gr/activities_MEDICEXPO08.html

11. ΔΙΟΙΚΗΤΙΚΗ ΕΜΠΕΙΡΙΑ ΣΤΟ ΤΜΗΜΑ ΜΗΧΑΝΙΚΩΝ ΒΙΟΪΑΤΡΙΚΗΣ ΠΑ.Δ.Α

11.1 2017-σήμερα

Υπεύθυνος κατάρτισης

προγραμμάτων

Υπεύθυνος κατάρτισης ωρολογίων προγραμμάτων και

προγραμμάτων εξεταστικών περιόδων του Τμήματος

Μηχανικών Βιοϊατρικής, ΠΑ.Δ.Α

11.2 2018-σήμερα Επιτροπή Πρακτικής

Άσκησης

Μέλος της Επιτροπής Πρακτικής άσκησης, Τμήμα

Μηχανικών Βιοϊατρικής, ΠΑ.Δ.Α

12. ΠΑΡΑΚΟΛΟΥΘΗΣΗ ΣΥΝΕΔΡΙΩΝ/ ΣΕΜΙΝΑΡΙΩΝ / ΗΜΕΡΙΔΩΝ (Χωρίς Συμμετοχή)

1999, Νοέμβριος ΕΛ.Ε.ΒΙ.Τ: 2ο Πανελλήνιο Συνέδριο Βιοϊατρικής Τεχνολογίας, 5-6 Νοεμβρίου 1999,





http://biomep.teiath.gr/2015/committees.html

http://biomep.teiath.gr/2014/docs/Workshop_BIOMEP_TEIBIT_V4.pdf

http://biomep.teiath.gr/2014/docs/Workshop_BIOMEP_TEIBIT_V4.pdf



Αθήνα.

2000, Απρίλιος Τ.Ι.Ο: Ημερίδα – Η Βιοϊατρική Τεχνολογία στο κατώφλι του 2000, 1 Απριλίου 1999,

Αθήνα.

2002, Αύγουστος 3rd European Symposium on Biomedical Engineering and Medical Physics, 30/8-1/9

2002, University of Patras Greece.

2004, Μάρτιος Prof. Maria Petrou: “Computer Vision and Computation in Medicine”, Institute of

Physics, London.

2015, Νοέμβριος Hellenic Aerospace Industry (EAB): “Crew Health Monitoring Systems”, Athens.

http://www.bme.teiath.gr/activities_EAB2015.html

13. ΕΡΕΥΝΗΤΙΚΑ ΕΝΔΙΑΦΕΡΟΝΤΑ

Επεξεργασία και ανάλυση βιοϊατρικών δεδομένων, τμηματοποίηση, αλγόριθμοι ταξινόμησης

Συστήματα υποστήριξης απόφασης στην ιατρική και τη βιολογία, αναγνώριση προτύπων

Ανάλυση υφής, ανάλυση χρώματος, σύνθεση εικόνων

Υπολογιστική μικροσκοπία

Στατιστική ανάλυση στην βιοϊατρική

http://www.bme.teiath.gr/activities_EAB2015.html


ΠΑΡΑΡΤΗΜΑ A

Δημοσιεύσεις σε διεθνή επιστημονικά περιοδικά με δείκτη απήχησης (πλήρες άρθρο)

JP1. S. Kostopoulos, D. Glotsos, G. C. Kagadis, A. Daskalakis, P. Spyridonos, I. Kalatzis, M. Karamessini,

T. Petsas, D. Cavouras and G. Nikiforidis, “A Hybrid Pixel-Based Classification Method For Blood Vessel

Segmentation And Aneurysm Detection On CTA”, Computers & Graphics 31 (3), pp. 493-500, 2007. ISSN:

0097-8493, IF 2007: 0.523

Citations: 10

JP2. Daskalakis A., Cavouras D., Bougioukos P., Kostopoulos S., Glotsos, D., Kalatzis I., Kagadis G.C,

Argyropoulos C., Nikiforides G., “Improving gene quantification by adjustable spot-image restoration”,

Bioinformatics 23 (17), pp. 2265-2272, 2007. ISSN: 1367-4803, IF 2007: 5.039

Citations: 14

JP3. Antonis Daskalakis, Spiros Kostopoulos, Panagiota Spyridonos, Dimitris Glotsos, Panagiota

Ravazoula, Maria Kardari, Ioannis Kalatzis, Dionisis Cavouras, and George Nikiforidis, “Design of a multi

classifier system for discriminating benign from malignant thyroid nodules using routinely H&E stained

cytological images”, Computers in Biology and Medicine 38, pp.196-203, 2008. ISSN: 0010-4825 , IF 2008:

1.272

Citations: 20

JP4. Dimitrios Glotsos, Ioannis Kalatzis, Panagiota Spyridonos, Spiros Kostopoulos, Antonis Daskalakis,

Emmanouil Athanasiadis, Panagiota Ravazoula, George Nikiforidis, and Dionisis Cavouras, “Improving

accuracy in astrocytomas grading by integrating a robust least squares mapping driven Support Vector

Machine classifier into a two level grade classification scheme”, Computer Methods and Programs in

Biomedicine 90, pp. 251-261, 2008. ISSN: 0169-2607, IF 2008: 1.220

Citations: 19

JP5. Spiros Kostopoulos, Dionisis Cavouras, Antonis Daskalakis, George C. Kagadis, Ioannis Kalatzis,

Pantelis Georgiadis, Panagiota Ravazoula, and George Nikiforidis, “Cascade pattern recognition structure for

improving quantitative assessment of ER-status in breast tissue carcinomas”, Analytical Quantitative

Cytology Histology, 30, pp. 218-225, 2008. ISSN: 0884-6812, IF 2007: 2.940

Citations: 3

JP6. Pantelis Georgiadis, Dionisis Cavouras, Ioannis Kalatzis, Dimitris Glotsos, Emmanouil Athanasiadis,

Spiros Kostopoulos, Koralia Sifaki, Menelaos Malamas, George Nikiforidis, Ekaterini Solomou,

“Enhancing the discrimination accuracy between metastases, gliomas, and meningiomas on brain MRI by

volumetric textural features and ensemble pattern recognition methods”, Magnetic Resonance Imaging 27

(1), pp. 120-130, 2009. ISSN: 0730-725X, IF 2009: 2.026

Citations: 59

JP7. Pantelis Theocharakis, Dimitris Glotsos, Ioannis Kalatzis, Spiros Kostopoulos, Pantelis Georgiadis,

Koralia Sifaki, Katerina Tsakouridou, Menelaos Malamas, George Delibasis, Dionisis Cavouras, George

Nikiforidis, "Pattern recognition system for the discrimination of multiple sclerosis from cerebral

microangiopathy lesions based on texture analysis of Magnetic Resonance images", Magnetic Resonance

Imaging 27 (3), pp. 417-422, 2009. ISSN: 0730-725X, IF 2009: 2.026.

Citations: 24

JP8. Spiros Kostopoulos, Dimitrios Glotsos, Dionisis Cavouras, Antonis Daskalakis, Ioannis Kalatzis,

Pantelis Georgiadis, Panagiotis Bougioukos, Panagiota Ravazoula, and George Nikiforidis, “Computer based

association of estrogen receptors expressed nuclei texture with histological grade using IHC-stained breast

carcinomas”, Analytical Quantitative Cytology Histology, 31 (4), pp. 187-196, 2009. ISSN: 0884-6812, IF

2007: 2.940.

Citations: 4

JP9. Glotsos Dimitris, Georgiadis Pantelis, Kostopoulos Spiros, Daskalakis Antonis, Kalatzis Ioannis,

Ravazoula Panagiota, and Cavouras Dionisis, “A pilot study for investigating minimum requirements for

remote astrocytomas grading”, Analytical Quantitative Cytology Histology, 31 (5), pp. 262-268, 2009. ISSN:

0884-6812, IF 2007: 2.940

Citations: 1


JP10. Antonis Daskalakis, Dimitris Glotsos, Spiros Kostopoulos, Dionisis Cavouras, and George Nikiforidis,

“A comparative study of individual and ensemble majority vote cDNA microarray image segmentation

schemes, originating from a spot-adjustable based restoration framework”, Computer Methods and Programs

in Biomedicine, 95, pp.72-88, 2009. ISSN: 0169-2607, IF 2009: 1.144

Citations: 4

JP11. Glotsos Dimitris, Kostopoulos Spiros, Ninos Kostas, Cavouras Dionisis, “Interpretation of binding

kinetics in Fluorescence Recovery After Photobleaching experiments using a novel stochastic simulation

strategy”, Molecular Simulation, 35 (14), pp. 1209-1214, 2009. ISSN: 0892-7022, IF 2009: 1.028

JP12. Panagiotis Bougioukos, Dimitris Glotsos, Spiros Kostopoulos, Antonis Daskalakis, Ioannis Kalatzis,

Nikos Dimitropoulos, George Nikiforidis, and Dionisis Cavouras. ‘Fuzzy C-Means driven FHCE contextual

segmentation method for mammographic micro-calcifications detection’, The Imaging Science Journal, 58,

pp.146-154, 2009. ISSN: 1368-2199, IF 2009: 0.169.

Citations: 4

JP13. Konstantinos Ninos, Spiros Kostopoulos, Dimitris Glotsos, Pantelis Georgiadis, Konstantinos

Sidiropoulos, Nikolaos Dimitropoulos, Ioannis Kalatzis and Dionisis Cavouras, “Development and

evaluation of a PDA-based teleradiology terminal in thyroid nodule diagnosis”, Journal of Telemedicine and

Telecare, 16, pp.232-236, 2010. ISSN: 1357-633X, IF 2010: 1.274.

Citations: 6

JP14. Panagiotis Bougioukos, Dimitris Glotsos, Dionisis Cavouras, Antonis Daskalakis, Ioannis Kalatzis,

Spiros Kostopoulos, George Nikiforidis and Anastasios Bezerianos, “An intensity-region driven

multiclassifier scheme for the identification of potential biomarkers to distinguish cancerous from normal

ovarian proteomic MS-spectra”, Computer Methods and Programs in Biomedicine, 99, pp.147-153, 2010.

ISSN: 0169-2607, IF 2010: 1.238

Citations: 4

JP15. Pantelis Georgiadis, Spiros Kostopoulos, Dionisis Cavouras, Dimitris Glotsos, Ioannis Kalatzis,

Koralia Sifaki, Menelaos Malamas, Ekaterini Solomou, George Nikiforidis, “Quantitative combination of

volumetric MR imaging and MR spectroscopy data for the discrimination of meningiomas from metastatic

brain tumors by means of pattern recognition”, Magnetic Resonance Imaging 29 (4), pp. 525-535, 2011.

ISSN: 0730-725X, IF 2011: 1.991

Citations: 19

JP16. Emmanouil I Athanasiadis, Dionisis Cavouras, Spiros Kostopoulos, Dimitris Glotsos, Ioannis Kalatzis,

George Nikiforidis, “A Wavelet - Based Markov Random Field Segmentation Model in Segmenting

Microarray Experiments”, Computer Methods and Programs in Biomedicine, 104, pp. 307-315, 2011. ISSN:

0169-2607, IF 2011: 1.516.

Citations: 8

JP17. Konstantinos Sidiropoulos, Dimitrios Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Ioannis

Kalatzis, Dionisis Cavouras, John Stonham, Real time decision support system for diagnosis of rare cancers,

trained in parallel, on a graphics processing unit, Computers in Biology and Medicine, 42 (4), pp. 376-386,

2012. ISSN: 0010-4825, IF 2012: 1.162.

Citations: 8

JP18. Eleftherios Lavdas, Panayiotis Mavroidis, Spiros Kostopoulos, Dimitrios Glotsos, Violeta Roka,

Theofilos Topalzikis, Athanasios Bakas, Georgia Oikonomou, Nikos Papanikolaou, Georgios Batsikas,

Ioannis Kaffes, Dimitrios Kechagias, Improvement of image quality using BLADE sequences in brain MR

imaging, Magnetic Resonance Imaging 31, pp. 189–200, 2013. ISSN: 0730-725X, IF 2013: 2.022.

Citations: 6

JP19. Ekaterini Solomou, Spiros Kostopoulos, Konstantinos Sidiropoulos, Emmanouil Athanasiadis,

Eleftherios Lavdas, Dimitris Glotsos, George Sakellaropoulos, Petros Zampakis, John Stonham and

Dionisis Cavouras, Designing a Pattern Recognition system on GPU for discriminating between patients

with micro-ischemic and multiple sclerosis lesions, using MRI images, International Journal of High

Performance Computing Applications, 27 (3), pp.348-359, 2012. ISSN: 1094-3420, IF 2012: 1.295.

Citations: 1

JP20. Spiros Kostopoulos, Konstantinos Sidiropoulos, Dimitris Glotsos, Emmanouil Athanasiadis,

Konstantina Boutsikou, Eleftherios Lavdas, Georgia Oikonomou, Ioannis V Fezoulidis, Marianna Vlychou,

Michael Hantes, and Dionisis Cavouras, Pattern-recognition system, designed on GPU, for discriminating

between injured normal appearing and pathological articular cartilage, Magnetic Resonance Imaging 31

(5), pp. 761-770, 2013. ISSN: 0730-725X, IF 2013: 2.022.

Citations: 1


JP21. Konstantinos P. Sidiropoulos, Spiros A. Kostopoulos, Dimitris T. Glotsos, Emmanouil I. Athanasiadis,

Nikos D. Dimitropoulos, John T. Stonham and Dionisis A. Cavouras, Multimodality GPU-based computer

assisted diagnosis of breast cancer using ultrasound and digital mammography images, International

Journal of Computer Assisted Radiology and Surgery, 8 (4) pp. 547–560, 2013. ISSN: 1861-6410, IF

2013: 1.659.

Citations: 10

JP22. Konstantina Boutsikou, Spiros Kostopoulos, Dimitris Glotsos, Dionisis Cavouras, Eleftherios Lavdas,

Georgia Oikonomou, Konstantinos Malizos, Ioannis V Fezoulidis, and Marianna Vlychou, Texture analysis

of articular cartilage traumatic changes in the knee calculated from morphological 3.0T MR imaging,

European Journal of Radiology 82, pp. 1266-1272, 2013. ISSN: 0720-048X, IF 2013: 2.16.

Citations: 2

JP23. Eleftherios Lavdas, Panayiotis Mavroidis, Spiros Kostopoulos, Dimitrios Glotsos, Violeta Roka,

Aristotle G. Koutsiaris, Georgios Batsikas, Georgios K. Sakkas, Antonios Tsagkalis, Ioannis Notaras,

Sotirios Stathakis, Nikos Papanikolaou, Katerina Vassiou, Elimination of motion, pulsatile flow and cross-

talk artifacts using blade sequences in lumbar spine MR imaging, Magnetic Resonance Imaging 31 (6), pp.

882–890, 2013. ISSN: 0730-725X, IF 2013: 2.022.

Citations: 5

JP24. Eleftherios Lavdas, Theofilos Topalzikis, Panayiotis Mavroidis, Ioannis Kyriakis, Violeta Roka, Spiros

Kostopoulos, Dimitrios Glotsos, Konstantinos Zilidis, Sotiris Stathakis, Antonios Tsagkalis, Nikos

Papanikolaou, Georgios Batsikas, Dimitrios L. Arvanitis, Katerina Vassiou, Comparison of PD BLADE

with fat saturation (FS), PD FS and T2 3D DESS with water excitation (WE) in detecting articular knee

cartilage defects, Magnetic Resonance Imaging 31 (8), pp. 1255-1262, 2013. ISSN: 0730-725X, IF 2013:

2.022.

Citations: 4

JP25. Konstantinos Ninos, Spiros Kostopoulos, Konstantinos Sidiropoulos, Ioannis Kalatzis, Dimitris

Glotsos, Emmanouil Athanasiadis, Panagiota Ravazoula, George Panayiotakis, George Economou, and

Dionisis Cavouras, Computer based image analysis system designed to differentiate between low grade and

high grade laryngeal cancer cases, Analytical Quantitative Cytology Histology, 35 (5), pp. 261-272, 2013.

ISSN: 0884-6812, IF 2013: 0.58.

Citations: 2

JP26. Constantinos Loukas, Spiros Kostopoulos, Anna Tanoglidi, Dimitris Glotsos, Constantinos Sfikas, and

D. Cavouras, Breast Cancer Characterization based on Image Classification of Tissue Sections Visualized

under Low Magnification, Computational and Mathematical Methods in Medicine, Volume 2013, Article

number 829461, 2013. ISSN: 1748-670X, IF 2013: 1.018.

Citations: 14

JP27. Konstantinos Ninos, Spiros Kostopoulos, Ioannis Kalatzis, Panagiota Ravazoula, George

Sakelaropoulos, George Panayiotakis, George Economou, Dionisis Cavouras, Computer based correlation

of the texture of P63 expressed nuclei with histological tumour grade, in laryngeal carcinomas, Analytical

Cellular Pathology, Article ID 963076, 2014. ISSN: 2210-7177, IF 2014: 0.846.

JP28. Eleftherios Lavdas, Panayiotis Mavroidis, Spiros Kostopoulos, Constantinos Ninos, Aspasi-Dimitra

Strikou, Dimitrios Glotsos, Anna Vlachopoulou, Georgia Oikonomou, Nikolaos Economopoulos, Violeta

Roka, Georgios K. Sakkas, Antonios Tsagkalis, Sotirios Stathakis, Nikos Papanikolaou, Georgios Batsikas,

Reduction of motion, truncation and flow artifacts using BLADE sequences in cervical spine MR imaging.

Magnetic Resonance Imaging 33 (2), pp. 194-200, 2015. ISSN: 0730-725X, IF 2015: 1.98.

Citations: 3

JP29. Spiros Kostopoulos, Christos Konstandinou, Konstantinos Sidiropoulos, Panagiota Ravazoula, Ioannis

Kalatzis, Pantelis Asvestas, Dionisis Cavouras, Dimitris Glotsos, Assessing the performance of four

different categories of histological criteria in brain tumors grading by means of a computer-aided diagnosis

image analysis system, Journal of Microscopy, 260 (1), pp. 37-46, 2015. ISSN: 1365-2818, IF 2015:

2.136.

Citations: 1

JP30. Konstantinos Ninos, Spiros Kostopoulos, Ioannis Kalatzis, Konstantinos Sidiropoulos, Panagiota

Ravazoula, George Sakelaropoulos, George Panayiotakis, George Economou, and Dionisis Cavouras,

Microscopy image analysis of p63 immunohistochemically stained laryngeal cancer lesions for predicting

patient 5-year survival, European Archives of Oto-Rhino-Laryngology, 273 (1), pp. 156-168, 2016. ISSN:

0937-4477, IF 2016: 1.627.

JP31. Spiros Kostopoulos, Dimitris Glotsos, Pantelis Asvestas, Christos Konstandinou, George

Xenogiannopoulos, Konstantinos Sidiropoulos, Eirini-Konstantina Nikolatou, Konstantinos Perakis, Spyros

Mantzouratos, Theophilos Sakkis, George Sakellaropoulos, George Nikiforidis and Dionisis Cavouras, An


Ensemble Template Matching and Content-Based Image Retrieval Scheme Towards Early Stage Detection

Of Melanoma, Image Analysis and Stereology, 35 (3), pp. 137-148, 2016. ISSN: 0937-4477, IF 2016: 0.5.

Citations: 2

JP32. Mavroidis, P., Roka, V., Kostopoulos, S., Batsikas, G., Lavdas, E., Arachnoid cysts: The role of the

blade technique, Hippokratia, 20 (3), pp. 244-248, 2016. ISSN: 1108-4189, IF 2016: 0.589.

JP33. Spiros A. Kostopoulos, Katerina G. Vassiou, Eleftherios Lavdas, Dionisis A. Cavouras, Ioannis K.

Kalatzis, Pantelis A. Asvestas, Dimitrios L. Arvanitis, Ioannis V. Fezoulidis, and Dimitris T. Glotsos,

Computer-based automated estimation of breast vascularity and correlation with breast cancer in DCE-MRI

images, Magnetic Resonance Imaging, 35, pp. 39-45, 2017. ISSN: 0730-725X, IF 2017: 1.980.

Citations: 2

JP34. Panayiotis Mavroidis, Nada Boci, Spiros Kostopoulos, Constantin Ninos, Dimitrios Glotsos, Georgia

Oikonomou, Athanasios Bakas, Violeta Roka, Georgios K. Sakkas, Antonios Tsagkalis, Vasiliki

Chatzigeorgiou, Georgios Batsikas, Georgios Zaimis, Dionisios Cavouras, Eleftherios Lavdas,

Investigation of the possibility to reduce susceptibility artifacts in MRI by increasing the bandwidth (BW)

and echo train length (ETL), Journal of Medical and Biological Engineering, 37 (5), pp 644-652, 2017.

ISSN: 1609-0985, IF 2017: 0.989.

JP35. Panayiotis Mavroidis, Eleonora Giankou, Aleksandra Tsikrika, Eftichia Kapsalaki, Vasiliki

Chatzigeorgiou, Georgios Batsikas, Georgios Zaimis, Spiros Kostopoulos, Dimitrios Glotsos,

Konstantinos Ninos, Vasilios Georgountzos, Dionisios Kavouras, Eleftherios Lavdas, Brain Imaging:

Comparison of T1W FLAIR BLADE with conventional T1W SE, Magnetic Resonance Imaging, 37, pp.

234-242, 2017. ISSN: 0730-725X, IF 2017: 1.980.

Citations: 1

JP36. Spiros Kostopoulos, Panagiota Ravazoula, Pantelis Asvestas, Ioannis Kalatzis, George

Xenogiannopoulos, Dionisis Cavouras, Dimitris Glotsos, Development of a Reference Image Collection

Library for histopathology image processing, analysis and decision support systems research, Journal of

Digital Imaging, 30, pp. 287-295, 2017. ISSN: 0897-1889, IF 2017: 1.406.

JP37. Spiros A. Kostopoulos, Pantelis A. Asvestas, Ioannis K. Kalatzis, George C. Sakelaropoulos, Theofilos

H. Sakkis, MD., Dionisis A. Cavouras, and Dimitris T. Glotsos, Adaptable Pattern Recognition System for

discriminating Melanocytic Nevi from Malignant Melanomas using plain photography images from

different image databases, International Journal of Medical Informatics, 105, pp.1-10, 2017, ISSN: 1386-

5056, IF 2017: 3.210.

JP38. Nikolaos-Antonios Livanos, Sami Hammal, Christos D. Nikolopoulos, Anargyros T. Baklezos, Christos

N. Capsalis, Grigorios E. Koulouras, Panagiotis I. Charamis, Ioannis O. Vardiambasis, Athanasios

Nassiopoulos, Spiros A. Kostopoulos, Pantelis A. Asvestas, Dionisis A. Cavouras and Elias Siores, Design

and Interdisciplinary Simulations of a Hand-held Device for Internal-Body Temperature Sensing Using

Microwave Radiometry, IEEE Sensors Journal, 18 (6), 2018. ISSN: 1530-437X, IF 2018: 2.512.

JP39. Dimitris Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Dionisis Cavouras, Image Quilting and

Wavelet Fusion for Creation of Synthetic Microscopy Nuclei Images, Computer Methods and Programs in

Biomedicine, 162, pp. 177-186, 2018. ISSN: 0169-2607, IF 2016: 2.503.

Δημοσιεύσεις σε διεθνή επιστημονικά περιοδικά με δείκτη απήχησης (περίληψη):

JA1. K. Boutsikou, S. Kostopoulos, E. Lavdas, G. Oikonomou, D. Cavouras, M. Vlychou, “Image analysis

of traumatic chondral lesions of the knee in young adults at 3.0T with arthroscopic correlation”, Skeletal

Radiol, 39 (6): 605-628, 2010. ISSN: 0364-2348, IF 2010: 1.387

(http://link.springer.com/content/pdf/10.1007%2Fs00256-010-0919-z.pdf).

JA2. S. Kostopoulos, “Development of supervised and unsupervised pixel-based classification methods for

medical image segmentation”, Medical Physics, 2011. ISSN: 0094-2405, IF 2011: 2.83

(http://www.medphys.org/PhDAbstracts/).

JA3. P Mavroidis, E Lavdas, S Kostopoulos, D Glotsos, V Roka, T Topalzikis, A Bakas, G Oikonomou, S

Stathakis, N Papanikolaou, G Batsikas, I Kaffes and D Kechagias, SU‐E‐I‐69: Improving Image Quality in

Brain MRI Using Blade Sequences, Medical Physics, 40 (6), 141, 2013. ISSN: 0094-2405, IF 2013: 3.012

(http://dx.doi.org/10.1118/1.4814180).

JA4. P Mavroidis, E Lavdas, S Kostopoulos, C Ninos, A Strikou, D Glotsos, A Vlachopoulou, G

Oikonomou, N Economopoulos, V Roka, G Sakkas, A Tsagkalis, S Statkahis, N Papanikolaou and G

Batsikas, SU-E-I-51: Use of Blade Sequences in Cervical Spine MR Imaging for Eliminating Motion,

Truncation and Flow Artifacts, Medical Physics, 41 (6), 141, 2014. ISSN: 0094-2405, IF 2014: 2.635

(http://dx.doi.org/10.1118/1.4888000).

http://link.springer.com/content/pdf/10.1007%2Fs00256-010-0919-z.pdf

http://www.medphys.org/PhDAbstracts/

http://dx.doi.org/10.1118/1.4814180

http://dx.doi.org/10.1118/1.4888000


JA5. P Mavroidis, N Boci, S Kostopoulos, C Ninos, D Glotsos, G Oikonomou, A Bakas, V Roka, G Sakkas,

A Tsagkalis, V Chatzivasileiou, G Batsikas, D Cavouras, N Papanikolaou, S Stathakis and E Lavdas, SU-E-I-

62: Reduction of Susceptibility Artifacts by Increasing the Bandwidth (BW) and Echo Train Length (ETL),

Medical Physics, 42 (6), 3256, 2015. ISSN: 0094-2405, IF 2015: 2.496

(http://dx.doi.org/10.1118/1.4924059).

JA6. P Mavroidis, A Vlachopoulou, S Kostopoulos, C Ninos, D Glotsos, A Bakas, G Oikonomou, V Roka, E

Kapsalaki, A Tsirika, N Papanikolaou, S Stathakis and E Lavdas, SU-E-I-67: Arachnoid Cysts: The Role of

the BLADE Technique, Medical Physics, 42 (6), 3257, 2015. ISSN: 0094-2405, IF 2015: 2.496

(http://dx.doi.org/10.1118/1.4924064).

Δημοσιεύσεις σε διεθνή επιστημονικά περιοδικά χωρίς δείκτη απήχησης (πλήρες άρθρο):

JO1. Hugues Fontenelle, Spiros Kostopoulos, Peng Miao, Shanbao Tong, Anastassios Bezerianos, “Second

Order Features for Laser Speckle Imaging”, International Journal of Bioelectromagnetism, 9 (3), 2007.

ISSN: 1456-7857. http://www.ijbem.org/volume9/number3/090305.pdf

JO2. Dimitris Glotsos, Spiros Kostopoulos and Dionisis Cavouras, “A stochastic simulation algorithm for

analysis of fluorescence recovery after photobleaching kinetics”, e-Journal of Science & Technology, 3 (3):

49-66, 2008. ISSN: 17905613 (http://e-jst.teiath.gr/issue_9_2008/Glotsos_9.pdf).

JO3. P. A. Asvestas, S. A. Kostopoulos, E. M. Ventouras, A. Korda, G. K. Matsopoulos, and I. S.

Karanasiou, Analysis of Brain Signals for the Discrimination of Observations of Correct and Incorrect

Actions, International Journal of Signal Processing Systems, 3 (2), pp. 100-105, 2015, doi:

10.12720/ijsps.3.2.100-105. ISSN: 2315-4535

(http://www.ijsps.com/uploadfile/2014/1210/20141210041954547.pdf).

JO4. S. Kostopoulos, D. Glotsos, P. Asvestas, G. Sakellaropoulos, I. Kalatzis, “Application of Pattern

Recognition Methods on Prostate MS Spectra”, e-Journal of Science & Technology, 10 (3): 13-25, 2015.

ISSN: 17905613 (http://e-jst.teiath.gr/).

Δημοσιεύσεις σε διεθνή επιστημονικά συνέδρια με κριτές:

CP1. S. Kostopoulos, D. Glotsos, G. Kagadis, N. Dimitropoulos, T. Petsas, , D. Cavouras and G. Nikiforidis,

“Development of a for brain blood vessel segmentation method in CT-angiography” in 3rd European

Medical & Biological Engineering Conference IFMBE European Conference on Biomedical Engineering

(EMBEC), Prague, 2005.

Citations: 2

CP2. A. Daskalakis, D. Glotsos, I. Kalatzis, P. Bougioukos, S. Kostopoulos, P. Ravazoula, D. Cavouras and

G. Nikiforidis, “Computer-Aided Diagnosis Of Thyroid Nodules Malignacy” in 3rd European Medical &

Biological Engineering Conference IFMBE European Conference on Biomedical Engineering (EMBEC)

Prague, 2005.

CP3. S. Kostopoulos, G. C. Kagadis, D. Glotsos, N. Dimitropoulos, T. Petsas, G. Nikiforidis, and D.

Cavouras, “Development of a classification algorithm for brain blood vessel segmentation in CT-

angiography” in 1st International Conference on Experiments /Process /System Modelling /Simulation

/Optimization (IC_EpsMsO), Athens, July 6-9, 2005 (http://www.epsmso.gr/2005/Program/Full_prog.htm).

CP4. E. Athanasiadis, P. Spyridonos, A. Daskalakis, D. Glotsos, S. Kostopoulos, I. Kalatzis, D. Cavouras

and G. Nikiforidis, 'Segmentation of microarray images using Gaussian mixture models and wavelet based

preprocessing filters', in 2nd International Conference From Scientific Computing to Computational

Engineering (2nd IC-SCCE), Athens, 5-8 July, 2006 (http://www.scce.gr/2006/Program/P2.htm).

CP5. E. Athanasiadis, D. Glotsos, A. Daskalakis, P. Bougioukos, S. Kostopoulos, P. Theocharakis, P.

Spyridonos, I. Kalatzis, G. Nikiforidis and D. Cavouras, ”Microarray Image Enhancement Techniques Using

The Discrete Wavelet Transform”, in 2nd International Conference From Scientific Computing to

Computational Engineering (2nd IC-SCCE), Athens, 5-8 July, 2006

(http://www.scce.gr/2006/Program/P2.htm).

CP6. A. Daskalakis, C. Argyropoulos, D. Glotsos, S. Kostopoulos, E. Athanasiadis, D. Cavouras and G.

Nikiforidis, “Wiener-based Deconvolution Methods for Improving the Accuracy of Spot Segmentation in

Microarray Images”, in Fifth European Symposium on BioMedical Engineering (5th ESBME), Patras, July 7-

9, 2006 (http://bme.med.upatras.gr/ESBME2006/CD/5th_ESBME_2006_PROCEEDINGS.htm).

CP7. S. Kostopoulos, A. Daskalakis, D. Glotsos, P. Spyridonos, P. Ravazoula, D. Cavouras, G. Nikiforidis,

"Computer-aided Assessment Of The Estrogen Receptor Status In Breast Tissue Sections", in Fifth European

Symposium on BioMedical Engineering (5th ESBME), Patras, July 7-9, 2006

(http://bme.med.upatras.gr/ESBME2006/CD/5th_ESBME_2006_PROCEEDINGS.htm).

http://dx.doi.org/10.1118/1.4924059

http://dx.doi.org/10.1118/1.4924064

http://www.ijbem.org/volume9/number3/090305.pdf

http://e-jst.teiath.gr/issue_9_2008/Glotsos_9.pdf

http://www.ijsps.com/uploadfile/2014/1210/20141210041954547.pdf

http://e-jst.teiath.gr/

http://www.epsmso.gr/2005/Program/Full_prog.htm

http://www.scce.gr/2006/Program/P2.htm

http://www.scce.gr/2006/Program/P2.htm

http://bme.med.upatras.gr/ESBME2006/CD/5th_ESBME_2006_PROCEEDINGS.htm

http://bme.med.upatras.gr/ESBME2006/CD/5th_ESBME_2006_PROCEEDINGS.htm


CP8. S. Kostopoulos, D. Cavouras, A. Daskalakis, P. Ravazoula, G. Nikiforidis, "Image Analysis System

For Assessing The Estrogen Receptor’s Positive Status In Breast Tissue Carcinomas", in The International

Special Topic Conference On Information Technology In Biomedicine (ITAB), Ioannina, October 26-28,

2006.

Citations: 4

CP9. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, C. Argyropoulos and G. Nikiforidis,

”Improving Microarray Spots Segmentation by K-Means driven Adaptive Image Restoration” in The

International Special Topic Conference On Information Technology In Biomedicine (ITAB), Ioannina,

October 26-28, 2006.

Citations: 1

CP10. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, I. Kalatzis, G. Kagadis, and G.

Nikiforidis, “Development of a Cascade Processing Method for Microarray Spot Segmentation”, proceedings

of 3d Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Girona, Spain, June 6-8,

2007.

Citations: 1

CP11. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, P. Georgiadis, I. Kalatzis and G.

Nikiforidis, “An Efficient CLAHE-based, Spot-Adaptive, image segmentation technique for improving

Microarray Genes’ Quantification”, in 2nd International Conference on Experiments/ Process/ System

Modelling/ Simulation/ Optimization, Athens, Greece, July 4-7, 2007

(http://www.epsmso.gr/2007/Program/Full_prog.htm).

Citations: 17

CP12. D. Glotsos, I. Kalatzis, A. Daskalakis, S. Kostopoulos, P. Spyridonos, P. Ravazoula, G. Nikiforidis, D.

Cavouras, ‘Computer-aided diagnosis of brain tumours based on tissue microscopy image analysis’, in 2nd

International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization, Athens,

Greece, July 4-7, 2007 (http://www.epsmso.gr/2007/Program/Full_prog.htm).

CP13. S. Kostopoulos, D. Cavouras, A. Daskalakis, I. Kalatzis, D. Glotsos, P. Bugioukos, P. Ravazoula, G.

Nikiforidis, ‘Development of an image analysis methodology for classification of immunohistochemically

stained breast biopsies’, in 2nd International Conference on Experiments/ Process/ System Modelling/

Simulation/ Optimization, Athens, Greece, July 4-7, 2007


CP14. P. Bougioukos, D. Cavouras, A. Daskalakis, S. Kostopoulos, I. Kalatzis, G. Nikiforidis, A. Bezerianos,

‘Proteomic Mass Spectra Classification for Biomarker Discovery in Prostate Cancer, employing pattern

recognition techniques’, in 2nd International Conference on Experiments/ Process/ System Modelling/

Simulation/ Optimization, Athens, Greece, July 4-7, 2007


Citations: 1

CP15. P. Georgiadis, D. Cavouras, I. Kalatzis, A. Daskalakis, P. Theocharakis, S. Kostopoulos, P.

Bougioukos, K. Sifaki, M. Malamas, G. Nikiforidis and E. Solomou, ‘Ensemble software classification for

characterizing human brain tumours on MRI’, in 2nd International Conference on Experiments/ Process/

System Modelling/ Simulation/ Optimization, Athens, Greece, July 4-7, 2007


CP16. S. Kostopoulos, D. Cavouras, A. Daskalakis, P. Bougioukos, P. Georgiadis, G. Kagadis, I. Kalatzis, P.

Ravazoula, and G. Nikiforidis, "Colour-Texture Based Image Analysis Method for Assessing the Hormone

Receptors Status in Breast Tissue Sections", proceedings of the 29th Annual International Conference of the

IEEE Engineering in Medicine and Biology Society, Lyon, France, August 23-26, 2007

(10.1109/IEMBS.2007.4353459).

Citations: 12

CP17. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, P. Georgiadis, I. Kalatzis, G. Kagadis and

G. Nikiforidis, 'Genes expression level quantification using a spot-based algorithmic pipeline', 29th Annual

International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, 23-26

August, 2007 (10.1109/IEMBS.2007.4352499).

Citations: 1

CP18. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, P. Georgiadis, I. Kalatzis, “Effective

quantification of gene expression levels in microarray images using a spot-adaptive compound clustering-

enhancement-segmentation scheme”, proceedings of International Conference on Computational Science

and Applications (ICCSA 2007), Kuala Lumpur, Malaysia, August 26-29, 2007

(http://link.springer.com/chapter/10.1007%2F978-3-540-74484-9_48).

Citations: 3






http://dx.doi.org/10.1109/IEMBS.2007.4353459

http://dx.doi.org/10.1109/IEMBS.2007.4352499

http://link.springer.com/chapter/10.1007%2F978-3-540-74484-9_48


CP19. P. Bougioukos, D. Cavouras, A. Daskalakis, I. Kalatzis, S. Kostopoulos, P. Georgiadis, G.Nikiforidis,

and A. Bezerianos “Biomarker selection system, employing an iterative peak selection method, for

identifying biomarkers related to prostate cancer”, proceedings of 12th International Conference on

Computer Analysis of Images and Patterns, Vienna, Austria, August 27-29, 2007


CP20. S. Kostopoulos, D. Cavouras, A. Daskalakis, I. Kalatzis, P. Bougioukos, G. Kagadis, P. Ravazoula, and

G. Nikiforidis, “Assessing Estrogen Receptors’ Status by Texture Analysis of Breast Tissue Specimens and

Pattern Recognition Methods”, proceedings of 12th International Conference on Computer Analysis of

Images and Patterns, Vienna, Austria, August 27-29, 2007


Citations: 9

CP21. P. Bougioukos, D. Cavouras, A. Daskalakis, S. Kostopoulos, G. Nikiforidis and A. Bezerianos,

'Prostate Cancer Biomarker Selection Through a Novel Combination of Sequential Global Thresholding,

Particle Swarm Optimization, and PNN Classification of MS-Spectra', proceedings of ICTAI - Annual IEEE

International Conference on Tools with Artificial Intelligence, Patras 29-31 October 2007

(http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4410267).

CP22. K. Banitsas, P. Pelegris, T. Orbach, D. Cavouras, K. Sidiropoulos and S. Kostopoulos, “A Simple

Algorithm to Monitor HR for Real Time Treatment Applications”, in the 9th International Conference on

Information Technology and Applications in Biomedicine (ITAB), Larnaca, November 5-7, 2009

(http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5394308).

Citations: 17

CP23. Spirou S., Billas I., Petrou E., Kalatzis I., Glotsos D., Kostopoulos S., Dimitropoulos N., Cavouras D.,

Nikiforidis G., “Comparison of Classifiers and Features in the Identification of Nodules in Ultrasound

Images of the Thyroid”, proceedings of 4th International Conference From Scientific Computing to

Computational Engineering (4th IC-SCCE), vol. II, pp.91, Athens, 7-10 July, 2010

(http://www.scce.gr/2010/lectures.htm).

CP24. Kassis V., Kostopoulos S., Glotsos D., Ravazoula P., and Cavouras D., “Computer based diagnosis of

breast tumours on microscopy tissue images”, proceedings of 4th International Conference From Scientific

Computing to Computational Engineering (4th IC-SCCE), vol. II, pp.104, Athens, 7-10 July, 2010


CP25. Konstantinou C., Kostopoulos S., Glotsos D., Ravazoula P., and Cavouras D., “Decision support

system based on ordinal scales for grading of brain tumours”, proceedings of 4th International Conference

From Scientific Computing to Computational Engineering (4th IC-SCCE), vol. II, pp.148, Athens, 7-10 July,

2010 (http://www.scce.gr/2010/lectures.htm).

CP26. Papadimitroulas P., Varsamidis A., Glotsos D., Kalatzis I., Georgoulias P., Loudos G., Kostopoulos S.,

Cavouras D., Nikiforidis G., "Pattern Recognition System for Semi-automated Detection of Myocardium

Defects on SPECT Image", proceedings of 4th International Conference From Scientific Computing to

Computational Engineering (4th IC-SCCE), vol. III, pp.555, Athens, 7-10 July, 2010


CP27. Petropoulos F., Sidiropoulos K., Kostopoulos S., Glotsos D., Cavouras D., "Web-based Telepathology

Platform for Assisting Diagnosis in Histopathology", proceedings of 4th International Conference From

Scientific Computing to Computational Engineering (4th IC-SCCE), vol. III, pp.782, Athens, 7-10 July, 2010


CP28. Magiati M., Athanasiadis E., Kostopoulos S., Cavouras D., “Wavelet-Based De-Noising For Improving

The Segmentation Accuracy Of The Markov Random Field Model In Microarray Experiments”, proceedings

of 4th International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization,

Athens, Greece, July 6-9, 2011 (http://www.epsmso.gr/2011/analytical_day2.htm).

CP29. Maneas E., Konstantinou C., Kostopoulos S., Ravazoula P., Cavouras D., Glotsos D., “Prediction of

Brain Tumours Grade Using Minimum Spanning Trees”, proceedings of 4th International Conference on

Experiments/ Process/ System Modelling/ Simulation/ Optimization, Athens, Greece, July 6-9, 2011

(http://www.epsmso.gr/2011/analytical_day2.htm).

CP30. Siderakis D., Kostopoulos S., Glotsos D., Cavouras D., “Proteomic Ms-Spectra Analysis for

Classification of Cancerous Prostate Cases”, proceedings of 4th International Conference on Experiments/

Process/ System Modelling/ Simulation/ Optimization, Athens, Greece, July 6-9, 2011

(http://www.epsmso.gr/2011/analytical_day2.htm).

CP31. Sakellarios C., Kostopoulos S., Glotsos D., Ravazoula P., Cavouras D., “Segmentation and

Classification of Histopathology Images for Abetting Diagnosis in Urinary Blader Cancer”, proceedings of

4th International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization, Athens,

Greece, July 6-9, 2011 (http://www.epsmso.gr/2011/analytical_day2.htm).

CP32. C. Konstandinou , E. Maneas, D. Glotsos, S. Kostopoulos, P. Ravazoula and D. Cavouras, A Pattern

Recognition System for Brain Tumour Grade Prediction Based on Histopathological Material and Features



http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4410267

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5394308

http://www.scce.gr/2010/lectures.htm





http://www.epsmso.gr/2011/analytical_day2.htm





Extracted at Different Optical Magnifications, Workshop on Bio-Medical Instrumentation and related

Engineering and Physical Sciences, Athens, Friday 6 July 2012 (http://e-jst.teiath.gr/eikosiexi_teuxos.htm).

CP33. Glotsos D., Vassiou K., Kostopoulos S., Lavdas E., Kalatzis I., Asvestas P., Arvanitis D.L., Fezoulidis

I.V., Cavouras D., “A Modified Seeded Region Growing Algorithm for Vessel Segmentation in Breast MRI

Images for Investigating the Nature of Potential Lesions”, International Conference on Mathematical

Modeling in Physical Sciences, Prague, Czech Republic, September 1-5, 2013, Journal of Physics: Conf. Ser.

490 012136 (http://iopscience.iop.org/article/10.1088/1742-6596/490/1/012136).

Citations: 1

CP34. Kostopoulos S., Sidiropoulos K., Glotsos D., Dimitropoulos N., Kalatzis I., Asvestas P., Cavouras D.,

“Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast

lesions on real time decision support system”, proceedings of International Conference on Mathematical

Modeling in PhysicalSciences, Prague, Czech Republic, September 1-5, 2013, Journal of Physics: Conf. Ser.

490 012137 (http://iopscience.iop.org/article/10.1088/1742-6596/490/1/012137).

Citations: 1

CP35. Kostopoulos S, Glotsos D, Sidiropoulos K, Asvestas P, Cavouras D, Kalatzis I, “A Pattern Recognition

System for Prostate Mass Spectra Discrimination Based on the CUDA Parallel Programming Model”,

proceedings of International Conference on Mathematical Modeling in Physical Sciences, Prague, Czech

Republic, September 1-5, 2013, Journal of Physics: Conf. Ser. 490 012144

(http://iopscience.iop.org/article/10.1088/1742-6596/490/1/012144).

CP36. D. Glotsos, S. Kostopoulos, K. Sidiropoulos, P. Ravazoula, I. Kalatzis, P. Asvestas, and D. Cavouras,

“A GPU-based Computer-assisted Microscopy System for Assessing the Importance of Different Families of

Histological Characteristics in Cancer Diagnosis”, 5th International Conference on Graphic and Image

Processing (ICGIP 2013), Hong Kong, Oct. 26-27, proceedings of SPIE - The International Society for

Optical Engineering Volume 9069, 2014

(http://spie.org/Publications/Proceedings/Paper/10.1117/12.2054186).

CP37. D. Glotsos, N. Kalyvas, S. Kostopoulos, I. Kalatzis, P. Asvestas, L. Lavdas, D. Cavouras, “Improving

the visibility of low contrast structures in conventional CsI (Tl) mammography systems using image

processing”, 15th International Meeting on Chemical Sensors, Buenos Aires, Argentina, 16-19 March, 2014

(http://www.imcs2014.org/programs/Poster_Session_1_Monday_3_17_14.pdf).

CP38. K. Perakis, T. Bouras, S. Kostopoulos, K. Sidiropoulos, L. Wayn, H. Timor, “MARK1 - A Decision

Support System for the Early Detection of Malignant Melanoma”, 4th International Conference on Wireless

Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and

wireless technologies", November 3–5, 2014 Athens, Greece (10.1109/MOBIHEALTH.2014.7015921).

CP39. P. Asvestas, A. Korda, I. Karanasiou, S. Kostopoulos, G. Matsopoulos and E. Ventouras, “Analysis of

Brain Signals for the Discrimination of Observations of Correct and Incorrect Actions”, SCIEI International

Conference on Digital Signal Processing (ICDSP 2014), Milan, Italy, November 19 - 21, 2014

(http://www.icdsp.org/).

CP40. P. Asvestas, A. Korda, S. Kostopoulos, I. Karanasiou, G.K. Matsopoulos and E.M. Ventouras,

“Identification of Observations of Correct or Incorrect Actions Using Second Order Statistical Features of

Event Related Potentials”, 8th Internatioanl Conference on Bio-inspired Systems and Signal Processing,

Lisbon, Portugal, 12-15 January, 2015 (http://www.biostec.org/Program/2015/Program_Thursday.htm).

CP41. S. A. Kostopoulos, A. D. Savva, P. A. Asvestas, C. D. Nikolopoulos, C. N. Capsalis, and D. A.

Cavouras, Early breast cancer detection method based on a simulation study of single-channel passive

microwave radiometry imaging, 4th International Conference on Mathematical Modelling in Physical

Sciences, Mykonos, Greece, 5-8 June, 2015 (http://iopscience.iop.org/article/10.1088/1742-

6596/633/1/012120).

Citations: 1

CP42. D. Glotsos, S. Kostopoulos, L. Stella, K. Sidiropoulos, P. Asvestas, C. Konstandinou, G.

Xenogiannopoulos, E.K. Nikolatou, K. Perakis, T. Bouras and D. Cavouras, Design of a decision support

system, trained on GPU, for assisting melanoma diagnosis in dermatoscopy images, 4th International

Conference on Mathematical Modelling in Physical Sciences, Mykonos, Greece, 5-8 June, 2015


CP43. P. Asvestas, A. Korda, S. Kostopoulos, I. Karanasiou, A. Ouzounoglou, K. Sidiropoulos, E.C.

Ventouras, G. Matsopoulos,, Use of Genetic Algorithm for the Selection of EEG Features, 4th International

Conference on Mathematical Modelling in Physical Sciences, Mykonos, Greece, 5-8 June, 2015


CP44. P. Asvestas, E.C. Ventouras, S. Kostopoulos, K. Sidiropoulos, V. Korfiatis, A. Korda, A. Uzunoglu, I.

Karanasiou, I. Kalatzis and G. Matsopoulos, Software Platform for Managing the Classification of Error-

Related Potentials of Observers, 4th International Conference on Bio-Medical Instrumentation and related

Engineering and Physical Sciences, Athens, Greece, 18-20 June, 2015


http://e-jst.teiath.gr/eikosiexi_teuxos.htm

http://iopscience.iop.org/article/10.1088/1742-6596/490/1/012136



http://spie.org/Publications/Proceedings/Paper/10.1117/12.2054186

http://www.imcs2014.org/programs/Poster_Session_1_Monday_3_17_14.pdf

http://dx.doi.org/10.1109/MOBIHEALTH.2014.7015921

http://www.icdsp.org/

http://www.biostec.org/Program/2015/Program_Thursday.htm







Περιλήψεις σε Διεθνή και Ελληνικά επιστημονικά συνέδρια:

CA1. Κωστόπουλος Σ., Δασκαλάκης Α., Καγκάδης Γ., Καρναμπατίδης Δ., Πέτσας Θ., Κάβουρας Δ.,

Νικηφορίδης Γ., “Ανάπτυξη Αλγορίθμου Ταξινόμησης για την Τμηματοποίηση Αγγειακών Δομών

Εγκεφάλου στην Αγγειογραφία Υπολογιστικής Τομογραφίας” στο 17ο Διαπανεπιστημιακό Συνέδριο

Ακτινολογίας, Πάτρα, 9-11 Νοεμβρίου, 2007 (http://www.radiology.upatras.gr/Pub/Old/conf/posters.aspx).

CA2. Αθανασιάδης Ε., Γεωργιάδης Π., Καλατζής Ι., Κωστόπουλος Σ., Γκλώτσος Δ., Σιδηρόπουλος Κ.,

Νίνος Κ. και Κάβουρας Δ.: “Επεξεργασία εικόνων μικροσυστοιχιών DNA με χρήση σύγχρονων μεθόδων

ταξινόμησης προτύπων”. MEDICEXPO 2008, Ολυμπιακό Κέντρο Ελληνικού, 27-30 Μαρτίου 2008

(http://www.bme.teiath.gr/activities_MEDICEXPO08.html).

CA3. Tsarouchas N., Kostopoulos S., Bezerianos A., Benedek G., Benedek K., "Early Evoked Gamma-Band

Responses and Phase Synchronization Elicited by Target Categorical Visual Object Discrimination" in 10th

International Conference on Cognitive Neuroscience (ICON-X), Bodrum, Turkey, September 1-5, 2008

(http://www.frontiersin.org/10.3389/conf.neuro.09.2009.01.113/event_abstract).

CA4. S. Kostopoulos, D. Glotsos and D. Cavouras, “Stochastic modeling of intracellular dynamics on the

basis of Fluorescent Recovery After Photobleaching experiments”, in 4th Conference of the Hellenic Society

for Computational Biology and Bioinformatics (HSCBB), NHRF, Athens, 18-20 December 2009

(http://troodos.biol.ucy.ac.cy/HSCBB09/Welcome_-_HSCBB09.html).

CA5. P. Bougioukos, S. Kostopoulos, D. Glotsos, I. Kalatzis, D. Cavouras, G. Nikiforidis and A. Bezerianos,

“Classification of prostate MS spectra based on peak intensity regions generation”, in 4th Conference of the

Hellenic Society for Computational Biology and Bioinformatics (HSCBB), NHRF, Athens, 18-20 December

2009 (http://troodos.biol.ucy.ac.cy/HSCBB09/Welcome_-_HSCBB09.html).

CA6. S. Kostopoulos, P. Zerefos, P. Bougioukos, A. Bezerianos and D. Cavouras, “Proteomic MS-spectra

analysis for discriminating between benign and cancerous urine bladder spectra”, EuroKUP COST Meeting-

Rotterdam, NL, March 20-21 2010.

CA7. K. Boutsikou, S. Kostopoulos, E. Lavdas, G. Oikonomou, D. Cavouras, M. Vlychou, “Image analysis

of traumatic chondral lesions of the knee in young adults at 3.0T with arthroscopic correlation”, in 17th

Annual Congress of the European Society of Musculoskeletal Radiology (ESSR), Lille, France – June 17–19,

2010 (http://projects.semico.be/ESSR2010/Friday_SC.html).

CA8. Μπούτσικου Κ., Κωστόπουλος Σ., Λαβδάς Ε., Οικονόμου Γ., Κάβουρας Δ., Χαντές Μ., Μαλίζος Κ.,

Φεζουλίδης Ι., Βλυχού Μ., “Τεχνικές Ανάλυσης Εικόνας για τη Μελέτη Τραυματικών Αλλοιώσεων του

Αρθρικού Χόνδρου σε γόνατο νεαρών ενηλίκων με Μαγνητική Τομογραφία 3.0Τ και Αρθροσκοπική

συσχέτιση” στο 20ο Διαπανεπιστημιακό Συνέδριο Ακτινολογίας, Λάρισα, 10-13 Νοεμβρίου, 2011

(http://www.med.uth.gr/UploadFiles/file/Synedria/20o_Programma_final.pdf).

CA9. Μανέτζη Θ, Κωστόπουλος Σ., Λαβδάς Ε., Οικονόμου Γ., Κάβουρας Δ., Κελέκης Δ., Σύστημα

Ποσοτικοποίησης Πνευμονικού Εμφυσήματος από Εικόνες Υπολογιστικής Τομογραφίας, 6ο Πανελλήνιο

Συνέδριο Επεμβατικής Ακτινολογίας, Πάτρα, 11-13 Μαΐου, 2012 (http://ir2012.upatras.gr/wp-

content/uploads/2011/12/kyriakh_amfitheatro.pdf).

CA10. A. Theodosi, S. Kostopoulos and D. Cavouras, 2D Gel Electrophoresis Classification between Chronic

Lymphoid and Chronic Myeloid Leukemia using Pattern Recognition Methods, Workshop on Bio-Medical

Instrumentation and related Engineering and Physical Sciences, Athens, Friday 6 July 2012

(http://biomep.teiath.gr/2012/docs/proceedings.pdf).

CA11. P Mavroidis, E Lavdas, S Kostopoulos, D Glotsos, V Roka, A Koutsiaris, G Batsikas, G Sakkas, A

Tsagkalis, I Notaras, S Stathakis, N Papanikolaou, K Vassiou, Use of Blade Sequences in Lumbar Spine MR

Imaging for Eliminating Motion, Pulsatile Flow and Cross-Talk Artifacts, AAPM Spring Clinical Meeting,

Phoenix, Arizona, March 16–19, 2013

(https://www.aapm.org/meetings/2013SCM/PRAbs.asp?mid=72&aid=20331).

CA12. E. Kotsiliti, S. Kostopoulos, E. Lavdas, G. Sakellaropoulos, E. Solomou, D. Cavouras, Implementation

of a Pattern Recognition System for the Discrimination of Multiple Sclerosis from Ischemic Lesions Based

on MRI, 2nd International Conference on Bio-Medical Instrumentation and related Engineering and Physical

Sciences, Athens, 21-22 July 2013 (http://biomep.teiath.gr/2013/proceedings.html).

CA13. L. Papageorgiou, S. Kostopoulos, D. Glotsos, P. Ravazoula, D. Cavouras, Endometrial Cancer

Characterization based on Computer-Aided Microscopy and Pattern Recognition Methods, 2nd International

Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences, Athens, 21-22

July 2013 (http://biomep.teiath.gr/2013/proceedings.html).

CA14. A.Vlahopoulou, P. Mavroidis, G. Oikonomou, S. Kostopoulos, D. Glotsos, A. Bakas, N. Papanikolaou,

E. Lavdas, Improvement of image quality using BLADE sequences in brain MR imaging, 2nd International



http://www.radiology.upatras.gr/Pub/Old/conf/posters.aspx


http://www.frontiersin.org/10.3389/conf.neuro.09.2009.01.113/event_abstract

http://troodos.biol.ucy.ac.cy/HSCBB09/Welcome_-_HSCBB09.html

http://troodos.biol.ucy.ac.cy/HSCBB09/Welcome_-_HSCBB09.html

http://projects.semico.be/ESSR2010/Friday_SC.html

http://www.med.uth.gr/UploadFiles/file/Synedria/20o_Programma_final.pdf

http://ir2012.upatras.gr/wp-content/uploads/2011/12/kyriakh_amfitheatro.pdf

http://ir2012.upatras.gr/wp-content/uploads/2011/12/kyriakh_amfitheatro.pdf

http://biomep.teiath.gr/2012/docs/proceedings.pdf

https://www.aapm.org/meetings/2013SCM/PRAbs.asp?mid=72&aid=20331

http://biomep.teiath.gr/2013/proceedings.html




CA15. C. Konstandinou, D. Glotsos, S. Kostopoulos, D. Pappa, E. Lavdas, D. Cavouras, Classification of

Cervical Intraepithelial Neoplasia Based on Nuclei Texture and Pattern Recognition Methods: Preliminary

Results, 2nd International Conference on Bio-Medical Instrumentation and related Engineering and Physical


CA16. E. Zaloni, P. Mavroidis, S. Kostopoulos, M. Vlychou, K. Vasiou, S. Stathakis, E. Lavdas, Elimination

of Motion and Pulsation Artifacts using BLADE Sequences in Shoulder MR Imaging, 2nd International



CA17. A. Vlahopoulou, P. Mavroidis, G. Oikonomou, S. Kostopoulos, D. Glotsos, N. Papanikolaou, E.

Lavdas, Comparison between T1-W FLAIR BLADE and T1-W TSE for artifacts reduction and improvement

in image quality in Cervical Spine MR imaging, 2nd International Conference on Bio-Medical

Instrumentation and related Engineering and Physical Sciences, Athens, 21-22 July 2013

(http://biomep.teiath.gr/2013/proceedings.html).

CA18. A.-D. Strikou, P. Mavroidis, G. Oikonomou, N. Economopoulos, S. Kostopoulos, N. Papanikolaou, E.

Lavdas, Elimination of Motion, Truncation and Flow Artifacts Using Blade Sequences in Cervical Spine MR

imaging, 2nd International Conference on Bio-Medical Instrumentation and related Engineering and Physical


CA19. D. Glotsos, K. Vassiou, S. Kostopoulos, E. Lavdas, I. Kalatzis, P. Asvestas, D. L. Arvanitis, D.

Cavouras, I. V. Fezoulidis, Comparative Evaluation of the Seeded Region Growing, the Hysteresis

Thresholding and Edge Detection Techniques in Vessel Segmentation, 2nd International Conference on Bio-

Medical Instrumentation and related Engineering and Physical Sciences, Athens, 21-22 July 2013

(http://biomep.teiath.gr/2013/proceedings.html).

CA20. D. Glotsos, S. Kostopoulos, P. Ravazoula, I. Kalatzis, P. Asvestas, D. Cavouras, Bayesian Maximum

Entropy Restoration in Microscopy Images for Facilitating Nuclei Segmentation, 2nd International



CA21. Α. Βλαχοπούλου, Π. Μαυροειδής, Γ. Οικονόμου, Σ. Κωστόπουλος, Δ. Γκλώτσος, Α. Μπάκας, Κ.

Νίνος, Γ. Μπάτσικας, Β. Χατζηγεωργίου, Β. Σλατινόπουλος, Ε. Λαβδάς, Βελτίωση της ποιότητας των

εικόνων στην Μαγνητική Τομογραφία Εγκεφάλου χρησιμοποιώντας την Ακτινωτή Τεχνική πλήρωσης κ-

Χώρου (Proppeeller-Blade), 8ο Πανελλήνιο Συνέδριο Τεχνολόγων Ακτινολόγων, Άρτα, 9-11 Μαΐου 2014

(http://www.otae.gr/summaries_8th_national_congr/).

CA22. Ε. Ζαλώνη, Π. Μαυροειδής, Σ. Κωστόπουλος, Κ. Νίνος, Μ. Βλυχού, Κ. Βάσσιου, Γ. Μπάτσικας, Β.

Χατζηγεωργίου, Σ. Σταθάκης, Σ. Ματθαίος, Α. Τσαγκαλής, Ε. Λαβδάς, Εξάλειψη τεχνικών σφαλμάτων με

τη χρήση της Ακτινωτής Τεχνικής πλήρωσης κ-Χώρου (Proppeeller-Blade) στις εξετάσεις Μ.Τ του ώμου, 8ο

Πανελλήνιο Συνέδριο Τεχνολόγων Ακτινολόγων, Άρτα, 9-11 Μαΐου 2014

(http://www.otae.gr/summaries_8th_national_congr/).

CA23. Δ. Στρίκου, Π. Μαυροειδής, Γ. Οικονόμου, Ν. Οικονομόπουλος, Σ. Κωστόπουλος, Δ. Γκλώτσος, Ν.

Παπανικολάου, Κ. Νίνος, Γ. Μπάτσικας, Α. Τσαγκάλης, Ι. Καφές, Ε. Λαβδάς, Μείωση των Τεχνικών

Σφαλμάτων σε εξέταση Μαγνητικής Τομογραφίας ΑΜΣΣ με τη χρήση της Ακτινωτής Τεχνικής

(Proppeeller-Blade) πλήρωσης Κ-Χώρου, 8ο Πανελλήνιο Συνέδριο Τεχνολόγων Ακτινολόγων, Άρτα, 9-11

Μαΐου 2014 (http://www.otae.gr/summaries_8th_national_congr/).

CA24. G. Xenogiannopoulos, S. Kostopoulos, D. Glotsos, I. Kalatzis, P. Asvestas, K. Sidiropoulos, E.K.

Nikolatou, P. Ravazoula, N. Dimitropoulos, G. Sakellaropoulos, G. Nikiforidis, D. Cavouras, Innovative

web-based decision support system for combining mammographic, histological and cytological image data in

breast diagnosis, 8th European Conference on Medical Physics, 8th ECMP Athens, 11-13 September 2014

(http://www.physicamedica.com/article/S1120-1797%2814%2900286-5/fulltext).

CA25. A. Theodosi, S. Kostopoulos, D. Glotsos, V. Tzelepi, P. Ravazoula, D. Cavouras, G. Sakellaropoulos,

A pattern recognition system for colorectal cancer characterization, based on AIB stained histopathological

images, 8th European Conference on Medical Physics, 8th ECMP Athens, 11-13 September 2014

(http://www.physicamedica.com/article/S1120-1797%2814%2900280-4/fulltext).

CA26. C.D. Konstantinou, D. Glotsos, S. Kostopoulos, D. Pappa, E. Lavdas, D. Cavouras, G. C.

Sakellaropoulos, Classification of cervical intraepithelial neoplasia based on histopathological image analysis

and pattern recognition methods, 8th European Conference on Medical Physics, 8th ECMP Athens, 11-13

September 2014 (http://www.physicamedica.com/article/S1120-1797%2814%2900335-4/fulltext).

CA27. S. Kostopoulos, D. Glotsos, I. Kalatzis, P. Asvestas, K. Sidiropoulos, G. Xenogiannopoulos, E.K.

Nikolatou, P. Ravazoula, N. Dimitropoulos, G. Sakellaropoulos, G. Nikiforidis, D. Cavouras, Experimental

platform for optical sectioning in bright field microscopy, Focus on Microscopy, Göttingen, Germany, March

29 - April 1, 2015 (http://www.focusonmicroscopy.org/).

CA28. P. Asvestas, A. Korda, S. Kostopoulos, V.Korfiatis, I. Karanasiou, I.Kalatzis, E.M. Ventouras and G.K.

Matsopoulos, Classifications Systems for Identification of Error Observations Using

Electroencephalographic Signals, 6th Pan-Hellenic Conference on Biomedical Technology (ELEVIT 2015),

Athens, 6-8 May, 2015 (http://elevit.org.gr/images/elevit_2015/proceedingselevit2015.pdf).







http://www.otae.gr/summaries_8th_national_congr/



http://www.physicamedica.com/article/S1120-1797%2814%2900286-5/fulltext



http://www.focusonmicroscopy.org/

http://elevit.org.gr/images/elevit_2015/proceedingselevit2015.pdf


CA29. A.D. Savva, S.A. Kostopoulos, P.A. Asvestas, C.D. Nikolopoulos, C.N. Capsalis, and D.A. Cavouras,

Breast Tumor Presence and Site Detection, Employing Passive Microwave Radiometry Imaging, 6th Pan-

Hellenic Conference on Biomedical Technology (ELEVIT 2015), Athens, 6-8 May, 2015

(http://elevit.org.gr/images/elevit_2015/proceedingselevit2015.pdf).

CA30. S. Kostopoulos, D. Glotsos, K. Sidiropoulos, P. Asvestas, C. Konstandinou, G. Xenogiannopoulos,

E.K. Nikolatou, K. Perakis, T. Bouras and D. Cavouras, MARK1 - Early Stage Detection of Melanoma

Through a Smartphone Compatible Designed Decision Support Application, International Conference on

Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2015), Athens, 18-20

June 2015 (http://biomep.teiath.gr/2015/program.html).

CA31. A. Savva, S. Kostopoulos, P. Asvestas, N.A. Livanos, D. Cavouras, A Graphical User Interface for

Mapping and Modeling of a Single-Channel Passive Microwave Radiometry Imaging, International

Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2015),

Athens, 18-20 June 2015 (http://biomep.teiath.gr/2015/program.html).

CA32. S. Kostopoulos, D. Glotsos, K. Sidiropoulos, P. Asvestas, E. Mikos, G. Sakellaropoulos, I. Kalatzis,

Protein Mass Spectrometry Analysis for Prostate Cancer Biomarkers Identification, International Conference

on Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2015), Athens, 18-

20 June 2015 (http://biomep.teiath.gr/2015/program.html).

CA33. E. Lavdas, E. Giankou, A. Tsikrika, E. Kapsalaki, G. Batsikas, S. Kostopoulos, D. Glotsos, K. Ninos,

D. Kavouras, Brain imaging: comparison of T1 FLAIR BLADE with conventional T1 SE, ECR, March 1-5,

Vienna, 2017 (http://www.myesr.org/ecr-2017).

CA34. Dimitris Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Christoforos Stefanoudakis, Panagiota

Bavela, Dionisis Cavouras, Creation of synthetic microscopic images for evaluation of Computer Aided

Diagnostic Histopathology systems, 5th Internatioinal Conference on radiation and applications in various

fields of research (RAD2017), 12-16/6/2017, Slovenska Plaza, Budva, Montenegro (http://www.rad2017.rad-

conference.org/title_list.php).

http://elevit.org.gr/images/elevit_2015/proceedingselevit2015.pdf




http://www.myesr.org/ecr-2017l

http://www.rad2017.rad-conference.org/title_list.php

http://www.rad2017.rad-conference.org/title_list.php


ΠΑΡΑΡΤΗΜΑ B

Έτερο-Αναφορές σε δημοσιεύσεις διεθνών επιστημονικών περιοδικών και συνεδρίων με κριτές:

Publication P1

{S. Kostopoulos, et al., “A Hybrid Pixel-Based Classification Method For Blood Vessel Segmentation And

Aneurysm Detection On CTA”, Computers & Graphics 31 (3), pp. 493-500, 2007. ISSN: 0097-8493}

1. (PhD) W. L. Mondy, Data acquisition for modeling and visualization of vascular tree, PhD Thesis,

University of South Florida, 2009. Citation to journal paper #1

2. (JP) Haddouche, A., Adel, M., Rasigni, M., Conrath, J., Bourennane, S., “Detection of the foveal avascular

zone on retinal angiograms using Markov random fields”, Digital Signal Processing: A Review Journal 20

(1), pp. 149-154, 2010. Citation to journal paper #1

3. (JP) Chen, J.Y., Seagull, F.J., Nagy, P., Lakhani, P., Melhem, E.R., Siegel, E.L., Safdar, N.M., Computer

input devices: Neutral party or source of significant error in manual lesion segmentation?, Journal of Digital

Imaging 24 (1), pp. 135-141, 2011. Citation to journal paper #1

4. (JP) Kohout, J., Chiarini, A., Clapworthy, G.J., Klajnšek, G., Aneurysm identification by analysis of the

blood-vessel skeleton, Computer Methods and Programs in Biomedicine 109 (1) , pp. 32-47, 2013. Citation

to journal paper #1

5. (JP) S. Zhao, M. Zhou, Z. Wu, Y. Tian, and L. Xie, Multi-Branched Blood Vessels Segmentation Based on

Phase-Field and Statistical Model, International Journal of Bioscience, Biochemistry and Bioinformatics, 3

(3), 2013. Citation to journal paper #1

6. (JP) Zhao, S., Zhou, M., Jia, T., Xu, P., Wu, Z., Tian, Y., Peng, Y., Jin, J.S., Multi-branched cerebrovascular

segmentation based on phase-field and likelihood model, Computers and Graphics (Pergamon) 38 (1), pp.

239-247, 2014. Citation to journal paper #1

7. (BC) MR Ogiela, T Hachaj, Computer Analysis of Brain Perfusion and Neck Angiography Images, Chapter

in Natural User Interfaces in Medical Image Analysis, Springer, 2014. Citation to journal paper #1

8. (PhD) Yan Wang, Study of the lattice Boltzmann method application to cerebral aneurysm segmentation,

PhD Thesis, L’ Institut National des Sciences Appliquées de Lyon, 2014. Citation to journal paper #1

9. (JP) Wang, Yan, et al., "Multilevel segmentation of intracranial aneurysms in CT angiography images",

Medical Physics, 43 (4): 1777-1786, 2016. Citation to journal paper #1

10. (JP) Khalid M. Malik; Shakeel M. Anjum; Soltanian-Zadeh H.; Hafiz Malik; Ghaus Malik, ISADAQ: A

Framework for Intracranial Saccular Aneurysm Detection and Quantification using Morphological Analysis

of Cerebral Angiograms, IEEE Access, Volume: 6 PP, Issue: 99, Pages: 1 - 1, 2018. Citation to journal

paper #1

Publication P2

{Daskalakis A., et al., ”Improving gene quantification by adjustable spot-image restoration”, Bioinformatics 23

(17), pp. 2265-2272, 2007. ISSN: 1367-4803}

11. (CP) Stefanou, H., Margaritis, T., Kafetzopoulos, D., Marias, K., Tsakalides, P., Microarray image

denoising using a two-stage multiresolution technique, Proceedings of IEEE International Conference on

Bioinformatics and Biomedicine, art. no. 4413081, pp. 383-389, 2007. Citation to journal paper #2

12. (JP) Kagadis, G.C., Nagy, P., Langer, S., Flynn, M., Starkschall, G., Anniversary Paper: Roles of medical

physicists and health care applications of informatics, Medical Physics 35 (1), pp. 119-127, 2008. Citation to

journal paper #2

13. (JP) Nikiforidis, G.C., Sakellaropoulos, G.C., Kagadis, G.C., Molecular imaging and the unification of

multilevel mechanisms and data in medical physics, Medical Physics 35 (8), pp. 3444-3452, 2008. Citation

to journal paper #2

14. (CP) Dappin, Satish G., et al., "Efficient Enhancement of Microarray Image Using Histogram

Specification", Computer Technology and Development, ICCTD'09, IEEE International Conference on., 1,

2009. Citation to journal paper #2

15. (CP) Manjunath, S.S., Dappin, S.G., Rangarajan, L., Shetty, S.S., Efficient Enhancement of Microarray

Image Using Histogram Specification, International Conference on Computer Technology and Development

1, art. no. 5359722, pp. 247-251, 2009. Citation to journal paper #2

16. (JP) Liu, G., Lu, L., Wang, L., Preliminary study on microarray automatic spot identification method, Yi Qi

Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 30 (3), pp. 641-646, 2009. Citation to journal

paper #2


17. (PhD) Daskalakis Antonios, Optimization of cDNA microarray image analysis methods, PhD Thesis,

University of Patras, 2009.

18. (JP) Howlader, T., Chaubey, Y.P., Noise reduction of cDNA microarray images using complex wavelets,

IEEE Transactions on Image Processing, 19 (8): 1953-1967, 2010. Citation to journal paper #2

19. (JP) Karimi, N., Samavi, S., Shirani, S., Behnamfar, P., Segmentation of DNA microarray images using an

adaptive graph-based method, IET Image Processing, 4 (1), 19-27, 2010. Citation to journal paper #2

20. (JP) Zineddin, B., Wang, Z., Shi, Y., Li, Y., Du, M. and Liu, X., A multi-view approach to cDNA micro-

array analysis, International Journal of Computational Biology and Drug Design, 3 (2): 91-111, 2010.

Citation to journal paper #2

21. (BC) K. Katsanos, D. Karnabatidis, G.C. Kagadis, G.C. Sakellaropoulos, G.C. Nikiforidis, Imaging

Informatics beyond Radiology, in: G. Kagadis, S. Langer (Eds) Informatics in Medical Imaging, CRC Press,


22. (CP) Liu, G.-C., Lu, L., Sun, F., The preliminary study on microarray automatic spot identification method,

Proceedings of 2011 International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, art. no.

6107677, pp. 186-190. Citation to journal paper #2

23. (JP) Chang B.M, Tsai H.H, Shih J.S, Using fuzzy logic and particle swarm optimization to design a

decision-based filter for cDNA microarray image restoration, Engineering Applications of Artificial

Intelligence, 36, pp. 12–26, 2014. Citation to journal paper #2

24. (JP) Patil, Supriya, G. M. Naik, and K. R. Pai, "An application of wavelet transform and artificial neural

network for microarray gene expression based brain tumor sub-classification", International Journal of

Emerging Technology and Advanced Engineering, 5(5), 2015. Citation to journal paper #2

Publication P3

{A. Daskalakis, et al., “Design of a multi classifier system for discriminating benign from malignant thyroid

nodules using routinely H&E stained cytological images”, Computers in Biology and Medicine 38, pp.196-203,

2008. ISSN: 0010-4825}

25. (BC) Foley, R., DiFranco, M., Bryan, K., Rexhepaj, E., Mulrane, L., Watson, R.W., Cunningham, P.,

Gallagher, W.M., Automated image analysis approaches in histopathology, Handbook of Research on

Systems Biology Applications in Medicine, 2: 826-849, 2008. Citation to journal paper #3

26. (JP) Goldstein, I., Uzuner, O., Specializing for predicting obesity and its co-morbidities, Journal of

Biomedical Informatics, 42(5): 873-886, 2009. Citation to journal paper #3

27. (BC) Scherer, A., Batch Effects and Noise in Microarray Experiments: Sources and Solutions, 1-260, 2009.


28. (JP) Chen, H., Xu, Y., Ma, Y.J., Ma, B.R., Neural Network Ensemble-Based Computer-Aided Diagnosis for

Differentiation of Lung Nodules on CT Images Clinical Evaluation, Academic Radiology, 17 (5): 595-602,


29. (JP) Gopinath, B., Gupta, B.R., Majority voting based classification of thyroid carcinoma, Procedia

Computer Science 2, pp. 265-271, 2010. Citation to journal paper #3

30. (JP) Varlatzidou, A., Pouliakis, A., Stamataki, M., Meristoudis, C., Margari, N., Peros, G., Panayiotides,

J.G., Karakitsos, P., Cascaded learning vector quantizer neural networks for the discrimination of thyroid

lesions, Analytical and Quantitative Cytology and Histology 33 (6) , pp. 323-334, 2011. Citation to journal

paper #3

31. (JP) Alfonso, E., Sanabria, Á., Castillo, M., Surgeons overestimate the risk of malignancy in thyroid

nodules, evaluation of subjective estimates using a bayesian analysis, Biomedica 31 (4), pp. 600-608, 2011.


32. (PhD) Goldstein, Ira, Automated classification of the narrative of medical reports using natural language

processing, PhD Thesis, State University of New York, 2011. Citation to journal paper #3

33. (JP) Orlov, N.V., Weeraratna, A.T., Hewitt, S.M., Coletta, C.E., Delaney, J.D., Mark Eckley, D., Shamir,

L., Goldberg, I.G., Automatic detection of melanoma progression by histological analysis of secondary sites,

Cytometry Part A 81 A (5), pp. 364-373, 2012. Citation to journal paper #3

34. (JP) Gopinath, B., Shanthi, N., Support vector machine based diagnostic system for thyroid cancer using

statistical texture features, Asian Pacific Journal of Cancer Prevention 14 (1), pp. 97-102, 2013. Citation to

journal paper #3

35. (JP) Gopinath, B., Shanthi, N., Computer-aided diagnosis system for classifying benign and malignant

thyroid nodules in multi-stained FNAB cytological images, Australasian Physical and Engineering Sciences

in Medicine 36 (2) , pp. 219-230, 2013. Citation to journal paper #3

36. (JP) Iakovidis, D.K., Goudas, T., Smailis, C., Maglogiannis, I., Ratsnake: A versatile image annotation tool

with application to computer-aided diagnosis, The Scientific World Journal, Volume 2014, 2014. Citation to

journal paper #3


37. (BC) Liu, C., Huang, Y., Han, L., Ozolek, J.A., Rohde, G.K., Hierarchical feature extraction for nuclear

morphometry-based cancer diagnosis, Lecture Notes in Computer Science, 10008 LNCS, pp. 219-227, 2016.


38. (JP) J. Angel Arul Jothi, V. Mary Anita Rajam, Effective segmentation and classification of thyroid

histopathology images, Applied Soft Computing, 46 (1), pp. 652-664, 2016. Citation to journal paper #3

39. (JP) Angel Arul Jothi J., Mary Anita Rajam V, Effective segmentation of orphan annie-eye nuclei from

papillary thyroid carcinoma histopathology images using a probabilistic model and region-based active

contour, Biomedical Signal Processing and Control, 30, 149–161, 2016. Citation to journal paper #3

40. (JP) A.A. Macedo, H.C. Pessotti, L.F. Almansa, J.C. Felipe, E.T. Kimura, Morphometric Information to

Reduce the Semantic Gap in the Characterization of Microscopic Images of Thyroid Nodules, Computer

Methods and Programs in Biomedicine, XX,XX:XX, 2016. Citation to journal paper #3

41. (JP) A. Pouliakis, E. Karakitsou, N. Margari, P. Bountris, M. Haritou, J. Panayiotides, D. Koutsouris and P.

Karakitsos, Artificial Neural Networks as Decision Support Tools in Cytopathology: Past, Present, and

Future, Biomedical Engineering and Computational Biology, 7: 1–18, 2016. Citation to journal paper #3

42. (JP) Hanna, M.G., Liu, C., Rohde, G.K., Singh, R., Predictive nuclear chromatin characteristics of

melanoma and dysplastic nevi, Journal of Pathology Informatics, 8 (1), 6, 2017. Citation to journal paper #3

43. (JP) Angel Arul Jothi, J., Mary Anita Rajam, V., Automatic classification of thyroid histopathology images

using multi-classifier system, Multimedia Tools and Applications, 76 (18), pp. 18711-18730, 2017. Citation

to journal paper #3

44. (JP) Angel Arul Jothi, J. & Mary Anita Rajam, V., A survey on automated cancer diagnosis from

histopathology images, Artif Intell Rev, 48 (1), pp. 31-81, 2017. Citation to journal paper #3

45. (JP) B.Gopinath and R.Santhi, Benign and Malignant Pattern Identification in Cytopathological Images of

Thyroid Nodules using Gabor Filter and Neural Networks, Asian Journal of Convergence in Technology, 4

(I), 2018. Citation to journal paper #3

Publication P4

{D. Glotsos, et al., “Improving accuracy in astrocytomas grading by integrating a robust least squares mapping

driven Support Vector Machine classifier into a two level grade classification scheme”, Computer Methods and

Programs in Biomedicine 90, pp. 251-261, 2008. ISSN: 0169-2607}

46. (JP) Guzman, M., Judkins, A.R., Digital pathology: A tool for 21st century neuropathology, Brain

Pathology 19 (2), pp. 305-316, 2009. Citation to journal paper #4

47. (PhD) Omar Sultan Al-Kadi, Tumour Grading and Discrimination based on Class Assignment and

Quantitative Texture Analysis Techniques, PhD Thesis, Department of Informatics, School of Science and

Technology, University of Sussex, 2009. Citation to journal paper #4

48. (JP) Zöllner, F.G., Emblem, K.E., Schad, L.R., Support vector machines in DSC-based glioma imaging:

Suggestions for optimal characterization, Magnetic Resonance in Medicine 64 (4), pp. 1230-1236, 2010.


49. (JP) Bandyopadhyay, Samir Kumar, "Digital pathology: an electronic environment for performing

pathologic analyses from image", Int. J. Comput. Sci. Appl, 1 (3): 127-130, 2011. Citation to journal paper

#4 50. (JP) Wang, H. and Chen, P., Fuzzy diagnosis method for rotating machinery in variable rotating speed,

IEEE Sensors Journal, 11 (1), pp. 23-34, 2011. Citation to journal paper #4

51. (JP) Wang, H., Li, K., Sun, H., Chen, P., Feature extraction method based on pseudo-Wigner-Ville

distribution for rotational machinery in variable operating conditions, Chinese Journal of Mechanical

Engineering (English Edition), 24 (4), pp. 661-668, 2011. Citation to journal paper #4

52. (CP) Hutterer, S., Zauner, G., Huml, M., Silye, R., Schilcher, K., Data mining techniques for AFM- based

tumor classification, Proceedings of 2012 IEEE Symposium on Computational Intelligence and

Computational Biology, CIBCB 2012 , art. no. 6217218 , pp. 105-111. Citation to journal paper #4

53. (JP) Díaz, G., Romero, E., Micro-structural tissue analysis for automatic histopathological image

annotation, Microscopy Research and Technique 75 (3), pp. 343-358, 2012. Citation to journal paper #4

54. (JP) Doyle, S., Feldman, M., Tomaszewski, J., Madabhushi, A., A boosted Bayesian multiresolution

classifier for prostate cancer detection from digitized needle biopsies, IEEE Transactions on Biomedical

Engineering 59 (5), pp. 1205-1218, 2012. Citation to journal paper #4

55. (JP) Doyle, S., Feldman, M.D., Shih, N., Tomaszewski, J., Madabhushi, A., Cascaded discrimination of

normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer, BMC

Bioinformatics 13 (1), 2012. Citation to journal paper #4

56. (JP) Li, K., Chen, P., Wang, S., An intelligent diagnosis method for rotating machinery using least squares

mapping and a fuzzy neural network, Sensors (Switzerland) 12 (5), pp. 5919-5939, 2012. Citation to journal

paper #4


57. (JP) Xu, W., Wei, Z., Sun, J., Wei, L., Yu, Z., Surface quality prediction and processing parameter

determination in electrochemical mechanical polishing of bearing rollers, International Journal of Advanced

Manufacturing Technology 63 (1-4), pp. 129-136, 2012. Citation to journal paper #4

58. (JP) Huml, M., Silye, R., Zauner, G., Hutterer, S., Schilcher, K., Brain tumor classification using AFM in

combination with data mining techniques, BioMed Research International 2013, art. no. 176519, 2013.


59. (JP) Talu, M.F., Gül, M., Alpaslan, N., Yiǧitcan, B., Calculation of melatonin and resveratrol effects on

steatosis hepatis using soft computing methods, Computer Methods and Programs in Biomedicine 111 (2) ,

pp. 498-506, 2013. Citation to journal paper #4

60. (BC) Y. Sucaet and W. Waelput, Digital Pathology, Chapter 4 Image Analysis, SpringerBriefs in Computer

Science, 2014. Citation to journal paper #4

61. (JP) Surowka, A.D., Adamek, D., Radwanska, E., Lankosz, M., Szczerbowska-Boruchowska, M., A

methodological approach to the characterization of brain gliomas, by means of semi-automatic

morphometric analysis, Image Analysis and Stereology, 33 (3), 2014, pp. 201-218. Citation to journal paper

#4 62. (BC) Fatima, K., Majeed, H., Texture-based evolutionary method for cancer classification in histopathology

(Book Chapter), Medical Imaging: Concepts, Methodologies, Tools, and Applications, pp. 558-572, 2016.


63. (JP) J. Barker, A. Hoogi, A. Depeursinge, D.L. Rubin, Automated classification of brain tumor type in

whole-slide digital pathology images using local representative tiles, Medical Image Analysis, 30: 60–71,


64. (JP) Angel Arul Jothi, J. & Mary Anita Rajam, V., A survey on automated cancer diagnosis from

histopathology images, Artif Intell Rev, 1-51, 2016. Citation to journal paper #4

65. (JP) L Tao, W Li, Y Jin, Y Yang, Y Wu, X Liu, Application of near‐infrared spectroscopy combined with

chemometrics for online monitoring of Moluodan extraction, Journal of Chemometrics, e2979, 2017.


Publication P5

{S. Kostopoulos, et al., “Cascade pattern recognition structure for improving quantitative assessment of ER-

status in breast tissue carcinomas”, Analytical Quantitative Cytology Histology, 30, pp. 218-225, 2008. ISSN:

0884-6812}

66. (JP) Tuominen, V.J., Ruotoistenmäki, S., Viitanen, A., Jumppanen, M., Isola, J., ImmunoRatio: a publicly

available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor

(PR), and Ki-67, Breast Cancer Research, 12:R56, 2010. Citation to journal paper #5




68. (CP) S. Jitaree, A. Phinyomark, P. Phukpattaranont, P. Boonyapiphat, Classifying Breast Cancer Regions in

Microscopic Image using Texture Features, 13th International Conference on Electrical

Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2016.


Publication P6

{P. Georgiadis, et al., “Enhancing the discrimination accuracy between metastases, gliomas, and meningiomas

on brain MRI by volumetric textural features and ensemble pattern recognition methods”, Magnetic Resonance

Imaging 27 (1), pp. 120-130, 2009. ISSN: 0730-725X}

69. (JP) Assefa, D., Keller, H., Menard, C., Laperriere, N., Ferrari, R.J., Yeung, I., Robust texture features for

response monitoring of glioblastoma multiforme on T1-weighted and T2-FLAIR MR images: A preliminary

investigation in terms of identification and segmentation, Medical Physics, 37 (4): 1722-1736, 2010.


70. (JP) Woloszynski, T., Podsiadlo, P., Stachowiak, G.W., Kurzynski, M., A signature dissimilarity measure

for trabecular bone texture in knee radiographs, Medical Physics, 37 (5): 2030-2042, 2010. Citation to

journal paper #6

71. (JP) Harrison, L.C.V., Raunio, M., Holli, K.K., Luukkaala, T., Savio, S., Elovaara, I., Soimakallio, S.,

Eskola, H.J., Dastidar, P., MRI Texture Analysis in Multiple Sclerosis: Toward a Clinical Analysis Protocol,

Academic Radiology, 17 (6): 696-707, 2010. Citation to journal paper #6

72. (JP) Kassner, A., Thornhill, R.E., Texture analysis: A review of neurologic MR imaging applications,

American Journal of Neuroradiology 31 (5), pp. 809-816, 2010. Citation to journal paper #6


73. (CP) Zhou, X., Liu, Z., Zhou, Z., Xia, H., Study on texture characteristics of hippocampus in MR images of

patients with Alzheimer's disease, Proceedings of 3rd International Conference on Biomedical Engineering

and Informatics, BMEI 2010 2, pp. 593-596. Citation to journal paper #6

74. (JP) Chinnadurai, V. and Gharpure Damayanti C., "Improvised Levelset method for segmentation and

grading of brain tumors in dynamic contrast susceptibility and apparent diffusion coefficient magnetic

resonance images." International journal of engineering science and technology 2 (5): 1461-1472, 2010.


75. (CP) González Navarro, Félix Fernando, and Luis Antonio Belanche Muñoz, Differentiation of

Glioblastomas and Metastases using 1H-MRS spectral data, The 2010 International Conference on

Bioinformatics & Computational Biology, 2010. Citation to journal paper #6

76. (PhD) Georgiadis, P., Computer assisted diagnosis of brain tumors based on statistical methods and pattern

recognition techniques, PhD Thesis, University of Patras, 2010. Citation to journal paper #6

77. (JP) Blanchet, L., Krooshof, P.W.T., Postma, G.J., Idema, A.J., Goraj, B., Heerschap, A., Buydens, L.M.C.,

Discrimination between metastasis and glioblastoma multiforme based on morphometric analysis of MR

images, American Journal of Neuroradiology 32 (1), pp. 67-73, 2011. Citation to journal paper #6

78. (JP) De Oliveira, M.S., Balthazar, M.L.F., D'Abreu, A., Yasuda, C.L., Damasceno, B.P., Cendes, F.,

Castellano, G., MR imaging texture analysis of the corpus callosum and thalamus in amnestic mild cognitive

impairment and mild alzheimer disease, American Journal of Neuroradiology 32 (1), pp. 60-66, 2011.


79. (JP) Stoica, G., Levine, J., Wolff, J., Murphy, K., Canine astrocytic tumors: A comparative review,

Veterinary Pathology 48 (1), pp. 266-275, 2011. Citation to journal paper #6

80. (JP) Sivapriya, T.R., Saravanan, V., Ranjit Jeba Thangaiah, P., Texture analysis of brain MRI and

classification with BPN for the diagnosis of dementia, 1st International Conference on Computer Science,

Engineering and Information Technology, (CCSEIT 2011), Tirunelveli, Tamil Nadu, 23 - 25 September


81. (JP) Harrison LC, Nikander R, Sikiö M, Luukkaala T, Helminen MT, Ryymin P, Soimakallio S, Eskola HJ,

Dastidar P, Sievänen H., MRI texture analysis of femoral neck: Detection of exercise load-associated

differences in trabecular bone, J Magn Reson Imaging, 34 (6), pp. 1359-66, 2011. Citation to journal paper

#6 82. (JP) Li, X., Tong, L.-Z., Zhou, X.-X., Wang, X., Classification of 3D texture features based on MR image in

discrimination of Alzheimer disease and mild cognitive impairment from normal controls, Chinese Journal

of Medical Imaging Technology 27 (5) , pp. 1047-1051, 2011. Citation to journal paper #6

83. (PhD) Holli, Kirsi Katariina, "Texture analysis as a tool for tissue characterization in clinical MRI", PhD

Thesis, Tampereen teknillinen yliopisto, Julkaisu-Tampere University of Technology, Publication 988,


84. (JP) Allin Christe, S., Vasantha Kumari, B., Kandaswamy, A., Experimental study for 3D statistical

property based intracranial brain tumor classification, Journal of Scientific and Industrial Research, 71 (1),


85. (JP) de Oliveira, M.S., D'Abreu, A., França Jr, M.C., Lopes-Cendes, I., Cendes, F., Castellano, G., MRI-

Texture Analysis of Corpus Callosum, Thalamus, Putamen, and Caudate in Machado-Joseph Disease,

Journal of Neuroimaging 22 (1), pp. 46-52, 2012. Citation to journal paper #6

86. (JP) Chinnadurai, V., Damayanti Chandrashekhar, G., Neuro-levelset system based segmentation in

dynamic susceptibility contrast enhanced and diffusion weighted magnetic resonance images, Pattern

Recognition 45 (9), pp. 3501-3511, 2012. Citation to journal paper #6

87. (JP) Wei, J., Hao, Y.-Q., Lan, N., Dai, K.-R., Bone cortex segmentation of CT images based on BP neural

network, Yiyong Shengwu Lixue/Journal of Medical Biomechanics 27 (2), pp. 227-232, 2012. Citation to

journal paper #6

88. (JP) Hu, L.-J., Li, X., Xia, H., Wang, L., Jiang, G.-L., Zhou, X.-X., Tong, L.-Z., 3D texture analysis of

hippocampus based on MR images in patients with Alzheimer disease and mild cognitive impairment,

Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology 38 (6) , pp. 942-948, 2012.


89. (JP) K. Skogen, B. Ganeshan, C. Good, G. Critchley, K. Miles, Measurements of heterogeneity in gliomas

on computed tomography relationship to tumour grade, J Neurooncol, 111: 213–219, 2013. Citation to

journal paper #6

90. (JP) Schwartz, E., Shamir, L., Correlation between brain MRI and continuous physiological and

environmental traits using 2D global descriptors and multi-order image transforms, Journal of Medical

Imaging and Health Informatics 3 (1), pp. 12-16, 2013. Citation to journal paper #6

91. (JP) Verma, N., Cowperthwaite, M.C., Burnett, M.G., Markey, M.K., Differentiating tumor recurrence from

treatment necrosis: A review of neuro-oncologic imaging strategies, Neuro-Oncology 15 (5), pp. 515-534,


92. (JP) Suoranta, S., Holli-Helenius, K., Koskenkorva, P., Niskanen, E., Könönen, M., Äikiä, M., Eskola, H.,

Kälviäinen, R., Vanninen, R., 3D Texture Analysis Reveals Imperceptible MRI Textural Alterations in the


Thalamus and Putamen in Progressive Myoclonic Epilepsy Type 1, EPM1, PLoS ONE 8 (7) , art. no.

e69905, 2013. Citation to journal paper #6

93. (JP) de Oliveira, M.S., Betting, L.E., Mory, S.B., Cendes, F., Castellano, G., Texture analysis of magnetic

resonance images of patients with juvenile myoclonic epilepsy, Epilepsy and Behavior 27 (1), pp. 22-28,


94. (JP) XIA Hong，LIU Wei-fang，WANG Xu，TONG Long-zheng, 2D and 3D Texture Features of Corpus

Caliosum in Patients with Alzheimer Disease Based on MR Images, Journal Of Beihua University (Natural

Science), 14 (5): 553-556, 2013. Citation to journal paper #6

95. (PhD) Ρωμανός, Οδυσσεύς. Μελέτη με MRI μετακτινικών αλλοιώσεων στα οστά ασθενών με

μεταστατικούς ή πρωτοπαθείς όγκους που υποβάλλονται σε ακτινοθεραπεία, PhD Thesis, Universisty of

Patras, 2013. Citation to journal paper #6

96. (JP) Depeursinge, A., Foncubierta-Rodriguez, A., Van De Ville, D., Müller, H., Three-dimensional solid

texture analysis in biomedical imaging: Review and opportunities, Medical Image Analysis 18 (1), pp. 176-

196, 2014. Citation to journal paper #6

97. (JP) O'Brien, B.J., Colen, R.R., Post-treatment imaging changes in primary brain tumor, Current Oncology

Reports 16 (8), 397, 2014. Citation to journal paper #6

98. (JP) Yang, G., Jones, T.L., Barrick, T.R., Howe, F.A., Discrimination between glioblastoma multiforme and

solitary metastasis using morphological features derived from the p: Q tensor decomposition of diffusion

tensor imaging, NMR in Biomedicine, 27 (9), pp. 1103-1111, 2014. Citation to journal paper #6

99. (JP) Sikiö, M., Harrison, L.C.V., Nikander, R., Ryymin, P., Dastidar, P., Eskola, H.J., Sievänen, H.,

Influence of exercise loading on magnetic resonance image texture of thigh soft tissues, Clinical Physiology

and Functional Imaging, 34(5), pp. 370-376, 2014. Citation to journal paper #6

100. (JP) Jayachandran, A., Dhanasekaran, R., Brain tumor severity analysis using modified multi-texton

histogram and hybrid kernel svm, International Journal of Imaging Systems and Technology, 2014. Citation

to journal paper #6

101. (JP) Brynolfsson, P., Nilsson, D., Henriksson, R., Hauksson, J., Karlsson, M., Garpebring, A.,

Birgander, R., Trygg, J., Nyholm, T., Asklund, T., ADC texture - An imaging biomarker for high-grade

glioma?, Medical Physics, 41 (10), 2014. Citation to journal paper #6

102. (JP) Alic, L., Niessen, W.J., Veenland, J.F., Quantification of heterogeneity as a biomarker in tumor

imaging: A systematic review, PLoS ONE, 9 (10), e110300, 2014. Citation to journal paper #6

103. (PhD) Doan, Nhat Trung. Quantitative analysis of human brain MR images at ultrahigh field strength,

PhD Thesis, Department of Radiology, Faculty of Medicine/Leiden University Medical Center (LUMC),

Leiden University, 2014. Citation to journal paper #6

104. (JP) A.E. Fetit, J. Novak, A.C. Peet and T.N. Arvanitis, Three-dimensional textural features of

conventional MRI improve diagnostic classification of childhood brain tumours, NMR Biomed, 28: 1174–


105. (JP) R. Rajesh Sharma and P. Marikkannu, Hybrid RGSA and Support Vector Machine Framework for

Three-Dimensional Magnetic Resonance Brain Tumor Classification, The Scientific World Journal, Volume

2015, Article ID 184350, 14 pages, 2015. Citation to journal paper #6

106. (JP) Saad, N.M., Syed Abu Bakar, S.A.R., Muda, A.S., Mokji, M.M., Review of Brain Lesion

Detection and Classification using Neuroimaging Analysis Techniques, Jurnal Teknologi, 74 (6), pp. 73-85,


107. (JP) Anitha, V., Murugavalli, S., A literature survey on brain tumor classification techniques,

International Journal of Applied Engineering Research, 10 (6), pp. 15799-15824, 2015. Citation to journal

paper #6

108. (CP) Chaudhury, B., et al. "Correlation based random subspace ensembles for predicting number of

axillary lymph node metastases in breast dce-mri tumors." Systems, Man, and Cybernetics (SMC), 2015

IEEE International Conference on. IEEE, 2015. Citation to journal paper #6

109. (PhD) Chaudhury, Baishali, "The Use of Textural Kinetic Habitats to Mine Diagnostic Information

from DCE MR Images of Breast Tumors", PhD Thesis, University of South Florida, 2015. Citation to

journal paper #6

110. (PhD) Fetit, Ahmed E., Radiomics in paediatric neuro-oncology: MRI textural features as diagnostic

and prognostic biomarkers, PhD Thesis, University of Warwick, 2015. Citation to journal paper #6

111. (CP) Alexandros Vamvakas, Ioannis Tsougos, Nikolaos Arikidis, Eftychia Kapsalaki, Ioannis

Fezoulidis, Lena Costaridou, Local curvature analysis for differentiating Glioblastoma multiforme from

solitary metastasis, IEEE International Conference on Imaging Systems and Techniques (IST), pp. 177 -


112. (JP) J. Fruehwald-Pallamar, J.R. Hesselink, M.F. Mafee, L. Holzer-Fruehwald, C. Czerny, M.E.

Mayerhoefer, Texture-Based Analysis of 100 MR Examinations of Head and Neck Tumors – Is It Possible

to Discriminate Between Benign and Malignant Masses in a Multicenter Trial?, Fortschr Röntgenstr, 188:

195–202, 2016. Citation to journal paper #6


113. (JP) Y. Guan, W. Li, Z. Jiang, Y. Chen, S. Liu, J. He, Z. Zhou, Y. Ge, Whole-Lesion Apparent

Diffusion Coefficient-Based Entropy Related Parameters for Characterizing Cervical Cancers: Initial

Findings, Academic Radiology, 23:1559-1567, 2016. Citation to journal paper #6

114. (JP) Kotrotsou, A., Zinn, P.O., Colen, R.R., Radiomics in Brain Tumors: An Emerging Technique for

Characterization of Tumor Environment, Magnetic Resonance Imaging Clinics of North America, 24 (4),


115. (JP) Li, Zhenjiang, et al., Differentiating brain metastases from different pathological types of lung

cancers using texture analysis of T1 postcontrast MR, Magnetic resonance in medicine, 76 (5), pp. 1410-


116. (JP) Prateek Prasanna, Pallavi Tiwari & Anant Madabhushi, Co-occurrence of Local Anisotropic

Gradient Orientations (CoLlAGe): A new radiomics descriptor, Scientific Reports 6, Article number: 37241,


117. (JP) Yang, G., Jones, T.L., Howe, F.A., Barrick, T.R., Morphometric model for discrimination between

glioblastoma multiforme and solitary metastasis using three-dimensional shape analysis, Magnetic

Resonance in Medicine, 75 (6): 2505-2516, 2016. Citation to journal paper #6

118. (CP) Ortiz-Ramon, R., Larroza, A., Arana, E., Moratal, D., A radiomics evaluation of 2D and 3D MRI

texture features to classify brain metastases from lung cancer and melanoma, Proceedings of the Annual

International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 8036869, pp.


119. (JP) Nicola L. Ainsworth, et al., Quantitative and Textural Analysis of Magnetization Transfer and

Diffusion Images in the Early Detection of Brain Metastases, Magnetic Resonance in Medicine, 77 (5), pp.

1987–1995, 2017. Citation to journal paper #6

120. (JP) Ganbold, M., Harada, M., Khashbat, D., (...), Kageji, T., Nagahiro, S., Differences in high-

intensity signal volume between arterial spin labeling and contrast-enhanced T1-weighted imaging may be

useful for differentiating glioblastoma from brain metastasis, Journal of Medical Investigation, 64 (1-2), pp.


121. (JP) Kim, H.S., Kim, J.-H., Yoon, Y.C., Choe, B.K., Tumor spatial heterogeneity in myxoid-containing

soft tissue using texture analysis of diffusion-weighted MRI, PLoS ONE, 12 (7), e0181339, 2017. Citation

to journal paper #6

122. (JP) Li, Z., Mao, Y., Huang, W., (...), Li, W., Li, B., Texture-based classification of different single

liver lesion based on SPAIR T2W MRI images, BMC Medical Imaging, 17 (1), 42, 2017. Citation to journal

paper #6

123. (JP) Ma, Z., Fang, M., Huang, Y., He, L. Chen, X., Liang, C. Huang, X., Cheng Z., Dong, D., Liang, C.

Xie, J., Tian, J., Liu, Z., CT-based radiomics signature for differentiating Borrmann type IV gastric cancer

from primary gastric lymphoma, European Journal of Radiology, 91, pp. 142-147, 2017. Citation to journal

paper #6

124. (JP) Jin Liu, Jianxin Wang, Bin Hu, Fang-Xiang Wu, Yi Pan, Alzheimer’s Disease Classification Based

on Individual Hierarchical Networks Constructed with 3D Texture Features, IEEE Transactions on

NanoBioscience, PP (99), 2017. Citation to journal paper #6

125. (JP) David Molina, Julián Pérez-Beteta, Alicia Martínez-González, Juan Martino, Carlos Velasquez,

Estanislao Arana, Víctor M. Pérez-García, Lack of robustness of textural measures obtained from 3D brain

tumor MRIs impose a need for standardization, June 6, 2017. Citation to journal paper #6

126. (JP) Nketiah, G., Elschot, M., Kim, E., (...), Bathen, T.F., Selnæs, K.M., T2-weighted MRI-derived

textural features reflect prostate cancer aggressiveness: preliminary results, European Radiology, 27 (7), pp.


127. (JP) Taranjit Kaur, Barjinder Singh Saini, Savita Gupta, A novel feature selection method for brain

tumor MR image classification based on the Fisher criterion and parameter-free Bat optimization, Neural

Comput & Applic, 29:193–206,2018. Citation to journal paper #6

128. (JP) Vamvakas, A., Tsougos, I., Arikidis, N., Kapsalaki, E., Fountas, K., Fezoulidis, I., Costaridou, L.,

Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme

from solitary metastasis, Biomedical Signal Processing and Control, 43: 159-173, 2018. Citation to journal

paper #6

129. (JP) Wang, S., Meng, M., Zhang, X., Wu, C., Wang, R., Wu, J., Sami, M.U., Xu, K., Texture analysis

of diffusion weighted imaging for the evaluation of glioma heterogeneity based on different regions of

interest, Oncology Letters, 15(5), pp. 7297-7304, 2018. Citation to journal paper #6

Publication P7

{P. Theocharakis, et al., "Pattern recognition system for the discrimination of multiple sclerosis from cerebral

microangiopathy lesions based on texture analysis of Magnetic Resonance images", Magnetic Resonance

Imaging 27 (3), pp. 417-422, 2009. ISSN: 0730-725X}


130. (CP) Harrison, L.C.V., Dastidar, P., Holli, K.K., Savio, S., Autere, A., Oinonen, A., Pylkki, V.,

Soimakallio, S., Eskola, H., Manual segmentation of brain tissue and multiple sclerosis lesions for texture

analysis, World Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging; Munich; 7-

12 September 2009, IFMBE Proceedings Volume 25 IFMBE, Issue 2, 2009, Pages 300-303. Citation to

journal paper #7

131. (CP) Savio, S., Harrison, L.C.V., Luukkaala T., Heinonen T., Dastidar, P., Soimakallio, S., Eskola, H.,

Effect of slice thickness on texture analysis of multiple sclerosis, World Congress on Medical Physics and

Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation,

Biomechanics; Munich; 7-12 September 2009, FMBE Proceedings Volume 25 IFMBE, Issue 4, 2009, Pages

568-571. Citation to journal paper #7

132. (JP) Harrison, L.C.V., Raunio, M., Holli, K.K., Luukkaala, T., Savio, S., Elovaara, I., Soimakallio, S.,

Eskola, H.J., Dastidar, P., MRI Texture Analysis in Multiple Sclerosis: Toward a Clinical Analysis Protocol,

Academic Radiology, 17 (6): 696-707, 2010. Citation to journal paper #7

133. (JP) Kassner, A., Thornhill, R.E., Texture analysis: A review of neurologic MR imaging applications,

American Journal of Neuroradiology 31 (5), pp. 809-816, 2010. Citation to journal paper #7

134. (JP) Mayerhoefer, M.E., Schima, W., Trattnig, S., Pinker, K., Berger-Kulemann, V., Ba-Ssalamah, A.,

Texture-based classification of focal liver lesions on MRI at 3.0 Tesla: A feasibility study in cysts and

hemangiomas, Journal of Magnetic Resonance Imaging 32 (2), pp. 352-359, 2010. Citation to journal paper

#7 135. (JP) Mayerhoefer, M.E., Welsch, G.H., Riegler, G., Mamisch, T.C., Materka, A., Weber, M., El-

Rabadi, K., Friedrich, K.M., Dirisamer, A., Trattnig, S., Feasibility of texture analysis for the assessment of

biochemical changes in meniscal tissue on t1 maps calculated from delayed gadolinium-enhanced magnetic

resonance imaging of cartilage data: Comparison with conventional relaxation time measurements,

Investigative Radiology 45 (9), pp. 543-547, 2010. Citation to journal paper #7

136. (PhD) Theocharakis, P., Differentiating Multiple Sclerosis from Cerebral Microangiopathy based on

Modern Pattern Recognition Techniques on Magnetic Resonance Images, PhD Thesis, University of Patras,


137. (JP) Loizou, C.P., Murray, V., Pattichis, M.S., Seimenis, I., Pantziaris, M., Pattichis, C.S., Multiscale

amplitude-modulation frequency-modulation (AMFM) texture analysis of multiple sclerosis in brain MRI

images, IEEE Transactions on Information Technology in Biomedicine 15 (1), pp. 119-129, 2011. Citation

to journal paper #7

138. (JP) De Oliveira, M.S., Balthazar, M.L.F., D'Abreu, A., Yasuda, C.L., Damasceno, B.P., Cendes, F.,

Castellano, G., MR imaging texture analysis of the corpus callosum and thalamus in amnestic mild cognitive

impairment and mild alzheimer disease, American Journal of Neuroradiology 32 (1), pp. 60-66, 2011.


139. (PhD) Holli, Kirsi Katariina, "Texture analysis as a tool for tissue characterization in clinical MRI",

PhD Thesis, Tampereen teknillinen yliopisto, Julkaisu-Tampere University of Technology, Publication 988,


140. (JP) Zhang, Y., MRI texture analysis in multiple sclerosis, International Journal of Biomedical

Imaging, 2012. Citation to journal paper #7

141. (JP) Mouthuy, N., Cosnard, G., Abarca-Quinones, J., Michoux, N., Multiparametric magnetic

resonance imaging to differentiate high-grade gliomas and brain metastases, Journal of Neuroradiology 39

(5) , pp. 301-307, 2012. Citation to journal paper #7

142. (JP) de Oliveira, M.S., D'Abreu, A., França Jr, M.C., Lopes-Cendes, I., Cendes, F., Castellano, G.,

MRI-Texture Analysis of Corpus Callosum, Thalamus, Putamen, and Caudate in Machado-Joseph Disease,

Journal of Neuroimaging 22 (1), pp. 46-52, 2012. Citation to journal paper #7

143. (JP) Radulescu, E., Ganeshan, B., Minati, L., Beacher, F.D.C.C., Gray, M.A., Chatwin, C., Young,

R.C.D., Harrison, N.A., Critchley, H.D., Gray matter textural heterogeneity as a potential in-vivo biomarker

of fine structural abnormalities in Asperger syndrome, Pharmacogenomics Journal 13 (1) , pp. 70-79, 2013.


144. (JP) de Oliveira, M.S., Betting, L.E., Mory, S.B., Cendes, F., Castellano, G., Texture analysis of

magnetic resonance images of patients with juvenile myoclonic epilepsy, Epilepsy and Behavior 27 (1), pp.


145. (JP) Radulescu, E., Minati, L., Ganeshan, B., Harrison, N.A., Gray, M.A., Beacher, F.D.C.C., Chatwin,

C., Young, R.C.D, Critchley, H.D., Abnormalities in fronto-striatal connectivity within language networks

relate to differences in grey-matter heterogeneity in Asperger syndrome, NeuroImage: Clinical 2 (1) , pp.


146. (JP) Zhang, Y., Moore, G.R.W., Laule, C., Bjarnason, T.A., Kozlowski, P., Traboulsee, A., Li, D.K.B.,

Pathological correlates of magnetic resonance imaging texture heterogeneity in multiple sclerosis, Annals of

Neurology 74 (1), pp. 91-99, 2013. Citation to journal paper #7

147. (JP) Radulescu, E., Ganeshan, B., Shergill, S.S., (...), Young, R.C.D., Critchley, H.D., Grey-matter

texture abnormalities and reduced hippocampal volume are distinguishing features of schizophrenia,

Psychiatry Research - Neuroimaging, 223 (3), pp. 179-186, 2014. Citation to journal paper #7


148. (PhD) Doan, Nhat Trung. Quantitative analysis of human brain MR images at ultrahigh field strength,

PhD Thesis, Department of Radiology, Faculty of Medicine/Leiden University Medical Center (LUMC),

Leiden University, 2014. Citation to journal paper #7

149. (JP) N. Michoux, A. Guillet, D. Rommel, G. Mazzamuto, C. Sindic, T. Duprez, Texture Analysis of

T2-Weighted MR Images to Assess Acute Inflammation in Brain MS Lesions, PLOS ONE,

DOI:10.1371/journal.pone.0145497, 2015. Citation to journal paper #7

150. (JP) Geraldes, R., Esiri, M.M., DeLuca, G.C., Palace, J., Age-related small vessel disease: a potential

contributor to neurodegeneration in multiple sclerosis, Brain Pathology, 27 (6), pp. 707-722, 2017. Citation

to journal paper #7

151. (JP) Jin Liu, Jianxin Wang, Bin Hu, Fang-Xiang Wu, Yi Pan, Alzheimer’s Disease Classification Based

on Individual Hierarchical Networks Constructed with 3D Texture Features, IEEE Transactions on

NanoBioscience, PP (99), 2017. Citation to journal paper #7

152. (JP) Nogueira, M.A., Abreu, P.H., Martins, P. et al., Image descriptors in radiology images: a

systematic review, Artif Intell Rev, 47 (4), pp. 531-559, 2017. Citation to journal paper #7

153. (JP) Sharma, S., Zhang, Y., Fourier transform power spectrum is a potential measure of tissue

alignment in standard MRI: A multiple sclerosis study, PLoS ONE, 12 (4), e0175979, 2017. Citation to

journal paper #7

Publication P8

{S. Kostopoulos, et al , “Computer based association of estrogen receptors expressed nuclei texture with

histological grade using IHC-stained breast carcinomas”, Analytical Quantitative Cytology Histology, 31 (4), pp.

187-196, 2009. ISSN: 0884-6812}

154. (JP) Arihiro, K., Oda, M., Ogawa, K., Tominaga, K., Kaneko, Y., Shimizu, T., Ohnishi, S., Oda, M.,

Kurita, Y., Tiara, Y., Fujii, M., Tanaka, M., Comparison of evaluations of hormone receptors in breast

carcinoma by image-analysis using three automated immunohistochemical stainings, Experimental and

Therapeutic Medicine, Volume 1, Issue 6, November 2010, pp. 927-932. Citation to journal paper #8

155. (JP) Greenberg, A., Hershkovitz, D., Sabo, E., Correlation between the presence of KRAS mutation

and the morphometric characteristics of colorectal carcinoma cell nuclei, Analytical and Quantitative

Cytology and Histology, 2014. Citation to journal paper #8

156. (CP) S. Jitaree, A. Phinyomark, P. Phukpattaranont, P. Boonyapiphat, Classifying Breast Cancer

Regions in Microscopic Image using Texture Features, 13th International Conference on Electrical



157. (JP) Jitaree, S., Windeatt, T., Boonyaphiphat, P., Phukpattaranont, P., Classification of cell types in

breast cancer microscopic images using area based texture analysis of color spaces, Analytical and

Quantitative Cytopathology and Histopathology, 38 (4), pp. 237-248, 2016. Citation to journal paper #8

Publication P9

{D. Glotsos, et al, “A pilot study for investigating minimum requirements for remote astrocytomas grading”,

Analytical Quantitative Cytology Histology, 31 (5), pp. 262-268, 2009. ISSN: 0884-6812}

158. (JP) Bashshur, R.L., Krupinski, E.A., Weinstein, R.S., Dunn, M.R., Bashshur, N., The Empirical

Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects, Telemedicine and e-Health,

23 (3), pp. 155-191, 2017. Citation to journal paper #9

Publication P10

{A. Daskalakis, et al, “A comparative study of individual and ensemble majority vote cDNA microarray image

segmentation schemes, originating from a spot-adjustable based restoration framework”, Computer Methods and

Programs in Biomedicine, 95, pp.72-88, 2009. ISSN: 0169-2607}

159. (JP) Giannakeas, N., Kalatzis, F., Tsipouras, M.G., Fotiadis, D.I., Spot addressing for microarray

images structured in hexagonal grids, Computer Methods and Programs in Biomedicine 106 (1), pp. 1-13,


160. (JP) Korayem, M.H., Esmaeilzadehha, S., Virtual reality interface for nano-manipulation based on

enhanced images, International Journal of Advanced Manufacturing Technology 63 (9-12) , pp. 1153-1166,






162. (BC) Pauline, O., Zainuddin, Z., A combinational fuzzy clustering approach for microarray spot

segmentation (Book Chapter), Intelligent multidimensional data clustering and analysis, pp. 326-344, 2016.


Publication P11

{Glotsos D., et al, “Interpretation of binding kinetics in Fluorescence Recovery After Photobleaching

experiments using a novel stochastic simulation strategy”, Molecular Simulation, 35 (14), pp. 1209-1214, 2009.

ISSN: 0892-7022}

163. (JP) David Sustr, Antonín Hlaváček, Claus Duschl, and Dmitry Volodkin, Multi-Fractional Analysis of

Molecular Diffusion in Polymer Multilayers by FRAP: A New Simulation-Based Approach, J. Phys. Chem.

B, 122 (3), pp 1323–1333, 2018. Citation to journal paper #11

Publication P12

{P. Bougioukos, et al , ‘Fuzzy C-Means driven FHCE contextual segmentation method for mammographic

micro-calcifications detection’, The Imaging Science Journal, 58, pp.146-154, 2009. ISSN: 1368-2199}

164. (JP) Quintanilla-Dominguez, J., et al., "Image segmentation by fuzzy and possibilistic clustering

algorithms for the identification of microcalcifications", Scientia Iranica, 18 (3): 580-589, 2011. Citation to

journal paper #12

165. (JP) Quintanilla-Domínguez, Joel, et al., "Improvement for detection of microcalcifications through

clustering algorithms and artificial neural networks." EURASIP journal on advances in signal processing, 1:


166. (JP) Wang, Y., Shi, H., Ma, S., A new approach to the detection of lesions in mammography using

fuzzy clustering, Journal of International Medical Research 39 (6), pp. 2256-2263, 2011. Citation to journal

paper #12

167. (JP) Pagola, M., Jurio, A., Paternain, D., Bustince, H., Fuzziness in medical image processing:

Representation and models, Studies in Fuzziness and Soft Computing, 302, pp. 173-190, 2013. Citation to

journal paper #12

168. (JP) Quintanilla-Domínguez, J., Ruiz-Pinales, J., Barrón-Adame, J.M., Guzmán-Cabrera, R.,

Microcalcifications detection using image processing, Computacion y Sistemas, 22(1), pp. 291-300, 2018.


Publication P13

{K. Ninos, et al , “Development and evaluation of a PDA-based teleradiology terminal in thyroid nodule

diagnosis”, Journal of Telemedicine and Telecare, 16, pp.232-236, 2010. ISSN: 1357-633X}

169. (JP) Sibel Ertek, Endokrinolojide Tele-Sağlık ve Tele-Tıp Uygulamaları, Acıbadem Üniversitesi Sağlık

Bilimleri Dergisi, 2 (3), 2011. Citation to journal paper #13

170. (BC) Aboelfotoh, M.H., Martin, P., Hassanein, H., Ubiquitous multimedia data access in electronic

health care systems, in Tools for Mobile Multimedia Programming and Development, 191-227, 2013.


171. (JP) Sakanushi, K., Hieda, T., Shiraishi, T., Ode, Y., Takeuchi, Y., Imai, M., Higashino, T., Tanaka, H.,

Electronic triage system for continuously monitoring casualties at disaster scenes, Journal of Ambient

Intelligence and Humanized Computing 4 (5), pp. 547-558, 2013. Citation to journal paper #13

172. (BC) Aboelfotoh, M.H., Martin, P., Hassanein, H., Ubiquitous multimedia data access in electronic

health care systems, Healthcare Administration: Concepts, Methodologies, Tools, and Applications, Volume

3, August 31, pp. 1456-1492, 2014. Citation to journal paper #13

173. (BC) P. Keikhosrokiani, N. Zakaria, N. Mustaffa, Tat-Chee Wan, M. Imran Sarwar, K. Azimi, Wireless

Networks in Mobile Healthcare, in S. Adibi (ed.) Mobile Health, Springer Series in Bio-/Neuroinformatics


174. (JP) Bashshur, R.L., Krupinski, E.A., Thrall, J.H., Bashshur, N., The Empirical Foundations of

Teleradiology and Related Applications: A Review of the Evidence (Review), Telemedicine and e-Health,


Publication P14

{P. Bougioukos, et al.,“An intensity-region driven multiclassifier scheme for the identification of potential

biomarkers to distinguish cancerous from normal ovarian proteomic MS-spectra”, Computer Methods and

Programs in Biomedicine, 99, pp.147-153, 2010. ISSN: 0169-2607}


175. (CP) Xu, B., Application of ant colony optimization-SVM in fault diagnosis for rectifier circuit,

Proceedings of 2nd IEEE International Conference on Information and Financial Engineering, ICIFE 2010,

Pages 594-597. Citation to journal paper #14

176. (JP) R. Armananzas, Y. Saeys, I. Inza, M. Garcıa-Torres, C. Bielza, Y. van de Peer, and P. Larranaga,

Peak bin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution

Algorithms, IEEE/ACM Transactions On Computational Biology And Bioinformatics 8 (3), 2011. Citation

to journal paper #14

177. (CP) Limpiti, T., Assawamakin, A., Intarapanich, A., Tongsima, S., Time-frequency analysis for cancer

detection using proteomic MS-spectra, 4th Biomedical Engineering International Conference (BMEiCON-

2011), art. no 6172014, pp. 40-44, 2011. Citation to journal paper #14

178. (JP) Youn, S.H., Sim, T., Choi, A., (...), Lee, D., Mun, J.H., Multi-class biological tissue classification

based on a multi-classifier: Preliminary study of an automatic output power control for ultrasonic surgical

units, Computers in Biology and Medicine, 61, pp. 92-100, 2015. Citation to journal paper #14

Publication P15

{P. Georgiadis et al., “Quantitative combination of volumetric MR imaging and MR spectroscopy data for the

discrimination of meningiomas from metastatic brain tumors by means of pattern recognition”, Magnetic

Resonance Imaging 29 (4), pp. 525-535, 2011. ISSN: 0730-725X}

179. (JP) Gelabert-Gonzále, M., Serramito-García, R., Intracranial meningiomas: II. diagnosis and

treatment, Revista de Neurologia, 53 (4), pp. 226-232, 2011. Citation to journal paper #15

180. (BC) Prior, M.J.W., NMR in living systems, in Kamienska-Trela K.,Wojcik J.(eds.) Nuclear Magnetic

Resonance, 41, pp. 348-385, 2012. Citation to journal paper #15

181. (JP) Jaskólski, D.J., Fortuniak, J., Stefańczyk, L., Majos, A., Gajewicz, W., Papierz, W., Liberski, P.P.,

Sikorska, B., Diagnostyka różnicowa oponiaków wewna {ogonek} trzczaszkowych w spektroskopii

rezonansu magnetycznego | [Differential diagnosis of intracranial meningiomas based on magnetic

resonance spectroscopy], Neurologia i Neurochirurgia Polska 47 (3), pp. 247-255, 2013. Citation to journal

paper #15

182. (JP) Bauer, S., Wiest, R., Nolte, L.-P., Reyes, M., A survey of MRI-based medical image analysis for

brain tumor studies, Physics in Medicine and Biology 58 (13), pp. R97-R129, 2013. Citation to journal paper

#15 183. (BC) Prior, M.J.W., NMR in living systems, in Kamienska-Trela K.,Wojcik J.(eds.) Nuclear Magnetic

Resonance 42 , pp. 498-534, 2013. Citation to journal paper #15

184. (PhD) Ρωμανός, Οδυσσεύς. Μελέτη με MRI μετακτινικών αλλοιώσεων στα οστά ασθενών με

μεταστατικούς ή πρωτοπαθείς όγκους που υποβάλλονται σε ακτινοθεραπεία, PhD Thesis, Universisty of

Patras, 2013. Citation to journal paper #15

185. (JP) Nachimuthu, D.S., Baladhandapani, A., Multidimensional texture characterization: On analysis for

brain tumor tissues using MRS and MRI, Journal of Digital Imaging, 27 (4), pp. 496-506, 2014. Citation to

journal paper #15

186. (JP) P. Svolos, E. Kousi, E. Kapsalaki, K. Theodorou, I. Fezoulidis, C. Kappas and I. Tsougos, The role

of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and

future perspectives, Cancer Imaging, 14:20, 2014. Citation to journal paper #15



188. (CP) Nasir, M., Khanum, A., Baig, A., Classification of Brain Tumor Types in MRI Scans Using

Normalized Cross-Correlation in Polynomial Domain, Proceedings - 12th International Conference on

Frontiers of Information Technology, FIT 2014, pp. 280-285, 2014. Citation to journal paper #15

189. (PhD) George Elijah, "Evaluation of Traumatic Brain Injury Using Magnetic Resonance

Spectroscopy", PhD Thesis, University of Maryland, 2014. Citation to journal paper #15

190. (JP) Tsai, S.-Y., Wang, W.-C., Lin, Y.-R., Comparison of Sagittal and Transverse Echo Planar

Spectroscopic Imaging on the Quantification of Brain Metabolites, Journal of Neuroimaging, 25 (2), pp.


191. (JP) G. Yang, F. Raschke, T.R. Barrick, and F. A. Howe, Manifold Learning in MR Spectroscopy

Using Nonlinear Dimensionality Reduction and Unsupervised Clustering, Magnetic Resonance in Medicine,

74:868–878, 2015. Citation to journal paper #15

192. (PhD) Fetit, Ahmed E., Radiomics in paediatric neuro-oncology: MRI textural features as diagnostic

and prognostic biomarkers, PhD Thesis, University of Warwick, 2015. Citation to journal paper #15

193. (PhD) San Miguel Díez, Teresa, "Impacto de la variación en el número de copias y del estado de

metilación de genes supresores de tumor en las vías de progresión del meningioma", PhD Thesis, University

of Valencia, 2015. Citation to journal paper #15

194. (JP) Fuss, T.L., Cheng, L.L., Metabolic imaging in humans, Topics in Magnetic Resonance Imaging,



195. (JP) Abrol, S., Kotrotsou, A., Salem, A., Zinn, P.O., Colen, R.R., Radiomic Phenotyping in Brain

Cancer to Unravel Hidden Information in Medical Images, Topics in Magnetic Resonance Imaging, 26 (1),


196. (JP) Lin, Y., Yuan, F., Chen, S., Leptomeningeal carcinomatosis 9 years after nodule resection for

pulmonary carcinoma in situ: MRS and pathological studies, Journal of Neuro-Oncology, 134 (2), pp. 469-


197. (JP) Taranjit Kaur, Barjinder SinghSaini, Savita Gupta, An optimal spectroscopic feature fusion

strategy for MR brain tumor classification using Fisher Criteria and Parameter-Free BAT optimization

algorithm, Biocybernetics and Biomedical Engineering, 2018. Citation to journal paper #15

Publication P16

{E. Athanasiadis, et al. , “A Wavelet - Based Markov Random Field Segmentation Model in Segmenting

Microarray Experiments”, Computer Methods and Programs in Biomedicine, 104, pp. 307-315, 2011. ISSN:

0169-2607}

198. (JP) Giannakeas, N., Karvelis, P.S., Exarchos, T.P., Kalatzis, F.G., Fotiadis, D.I., Segmentation of

microarray images using pixel classification-Comparison with clustering-based methods, Computers in

Biology and Medicine, 43 (6), pp. 705-716, 2013. Citation to journal paper #16




200. (JP) Zhang, Y., Jiang, G., Yao, J., Tong, Y., Intelligent segmentation of jacquard warp-knitted fabric

using a multiresolution Markov random field with adaptive weighting in the wavelet domain, Textile

Research Journal, 84 (1), pp. 28-39, 2014. Citation to journal paper #16

201. (CP) Biju, V.G., Mythili, P., Fuzzy clustering algorithms for cDNA microarray image spots

segmentation, Procedia Computer Science, 46, pp. 417-424, 2015. Citation to journal paper #16

202. (JP) G. Shao, T. Li, W. Zuo, S. Wu, T. Liu, A Combinational Clustering Based Method for cDNA

Microarray Image Segmentation, Plos One, doi:10.1371/journal.pone.0133025, 2015. Citation to journal

paper #16

203. (CP) He, T., Xue, Z., Wong, S.T., A three-dimensional medical image segmentation app using graphic

theory, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, art. no.

7455886, pp. 268-271, 2016. Citation to journal paper #16

204. (JP) Jing, J., Li, Q., Li, P., Zhang, H., Zhang, L., Image segmentation of printed fabrics with

hierarchical improved Markov random field in the wavelet domain, Journal of Engineered Fibers and

Fabrics, 11 (3), pp. 17-32, 2016. Citation to journal paper #16

205. (JP) Biju, V.G., Mythili, P., Possibilistic reformed fuzzy local information clustering technique for

noisy microarray image spots segmentation, Current Science, 113 (6), pp. 1072-1080, 2017. Citation to

journal paper #16

Publication P17

{K. Sidiropoulos, et al., Real time decision support system for diagnosis of rare cancers, trained in parallel, on a

graphics processing unit, Computers in Biology and Medicine, 42 (4), pp. 376-386, 2012. ISSN: 0010-4825}

206. (BC) L.W.D. van Raamsdonk, S. van der Vange, M. Uiterwijk and M. J. Groot, Reliability and

Evaluation of Identification Models Exemplified by a Histological Diagnosis Model, in Chiang Jao (ed.)

Decision Support Systems, ISBN 978-953-51-0799-6, 2012. Citation to journal paper #17

207. (JP) Kothari, S., Phan, J.H., Stokes, T.H., Wang, M.D., Pathology imaging informatics for quantitative

analysis of whole-slide images, Journal of the American Medical Informatics Association 20 (6) , pp. 1099-


208. (JP) Iakovidis, D.K., Goudas, T., Smailis, C., Maglogiannis, I., Ratsnake: A versatile image annotation

tool with application to computer-aided diagnosis, The Scientific World Journal, Volume 2014, 2014.


209. (PhD) K.P. Sidiropoulos, Pattern Recognition Systems Design on Parallel GPU Architectures for Breast

Lesions Characterisation Employing Multimodality Images, PhD Thesis, School of Engineering and Design,

Brunel University, UK, 2014. Citation to journal paper #17

210. (BC) Arturas Kaklauskas, Intelligent decision support systems, Biometric and Intelligent Decision

Making Support - Intelligent Systems Reference Library, 81, pp 31-85, 2015. Citation to journal paper #17

211. (JP) Jabez Christopher, J., Khanna Nehemiah, H., Kannan, A., A clinical decision support system for

diagnosis of Allergic Rhinitis based on intradermal skin tests, Computers in Biology and Medicine, 65, pp.


212. (JP) Raveendran K Pillai, K Jayasree, Rare cancers: Challenges & issues, Indian J Med Res, 145 (1),



213. (JP) Kumaradevan Punithakumar, Pierre Boulanger, Michelle Noga, A GPU-Accelerated Deformable

Image Registration Algorithm with Applications to Right Ventricular Segmentation, IEEE Access, 2017.


Publication P18

{E. Lavdas, et al., Improvement of image quality using BLADE sequences in brain MR imaging, Magnetic

Resonance Imaging 31, pp. 189–200, 2013. ISSN: 0730-725X}

214. (JP) Lavdas, E., Tsougos, I., Kogia, S., Gratsias, G., Svolos, P., Roka, V., Fezoulidis, I.V., Kapsalaki,

E., T2 FLAIR artifacts at 3-T brain magnetic resonance imaging, Clinical Imaging, 38 (2), Pages 85-90,


215. (JP) Rosenkrantz, A.B., Bennett, G.L., Doshi, A., Deng, F.-M., Babb, J.S., Taneja, S.S., T2-weighted

imaging of the prostate: Impact of the BLADE technique on image quality and tumor assessment,

Abdominal Imaging, 40 (3), pp. 552-559, 2014. Citation to journal paper #18

216. (JP) Finkenzeller, T., Wendl, C.M., Lenhart, S., Stroszczynski, C., Schuierer, G., Fellner, C., BLADE

sequences in transverse T2-weighted MR imaging of the cervical spinecut-off for artefacts?, Fortschr

Röntgenstr, 187 (2), pp. 102-108, 2015. Citation to journal paper #18

217. (JP) E. Lavdas, M. Vlychou, E. Zaloni, K. Vassiou, A. Tsagkalis, Z. Dailiana, I. Fezoulidis,

Elimination of motion and pulsation artifacts using BLADE sequences in shoulder MR imaging, Skeletal

Radiology, 44 (11), pp. 1619-1626, 2015. Citation to journal paper #18

218. (JP) Tocchio, S., Kline-Fath, B., Kanal, E., Schmithorst, V.J., Panigrahy, A., MRI evaluation and safety

in the developing brain, Seminars in Perinatology, 39 (2), pp. 73-104, 2015. Citation to journal paper #18

219. (JP) Zhang, F., Zhang, H., Li, X., (...), Li, H., Qu, J., The values of pre-operative T staging of

potentially resectable esophageal cancer: Blade combining with breath-free radial VIBE, Chinese Journal of

Radiology (China), 51 (2), pp. 114-118, 2017. Citation to journal paper #18

220. (JP) Park, J.E., Choi, Y.H., Cheon, J.-E., Kim, W.S., Kim, I.-O., Ryu, Y.J., Paek, M.Y., Three-

dimensional radial VIBE sequence for contrast-enhanced brain imaging: An alternative for reducing motion

artifacts in restless children, American Journal of Roentgenology, 210(4), pp. 876-882, 2018. Citation to

journal paper #18

Publication P19

{E. Solomou, et al., Designing a Pattern Recognition system on GPU for discriminating between patients with

micro-ischemic and multiple sclerosis lesions, using MRI images, International Journal of High Performance

Computing Applications, 27 (3), pp.348-359, 2012. ISSN: 1094-3420}




Publication P20

{S. Kostopoulos, et al., Pattern-recognition system, designed on GPU, for discriminating between injured normal

appearing and pathological articular cartilage, Magnetic Resonance Imaging 31 (5), pp. 761-770, 2013. ISSN:

0730-725X}




Publication P21

{K. Sidiropoulos, et al., Multimodality GPU-based computer assisted diagnosis of breast cancer using ultrasound

and digital mammography images, International Journal of Computer Assisted Radiology and Surgery, 8 (4) pp.

547–560, 2013. ISSN: 1861-6410}

223. (JP) N. Papangelopoulos, D. Vlachakis, A. Filntisi, P. Fakourelis, L. Papageorgiou, V.

Megalooikonomou and S. Kossida, State-of-the-Art GPGPU Applications in Bioinformatics, International

Journal of Systems Biology and Biomedical Technologies, 2 (4), 2013. Citation to journal paper #21




225. (JP) M. Grigoryev, A. Thomas, L. Plath, T. Durmus, T. Slowinski, F. Diekmann, T. Fischer, Detection

of Microcalcifications inWomen with Dense Breasts and Hypoechoic Focal Lesions: Comparison of

Mammography and Ultrasound, Ultraschall in Med, 35: 554–560, 2014. Citation to journal paper #21




227. (JP) M Al-Ayyoub, A Oqaily, MI Jarrah, H Karajeh, Automatically Determining the Location and

Length of Coronary Artery Thrombosis Using Coronary Angiography, International Journal of Computer

Science and Information Security (IJCSIS), Vol. 14, No. 3, 2016. Citation to journal paper #21

228. (CP) Haider, A., Alhashim, M., Tavakolian, K., Fazel-Rezai, R., Computer-assisted image processing

technique for tracking wound progress, ΙEEE International Conference on Electro Information Technology,

Volume 2016-August, Article number 7535333, Pages 750-754, 2016. Citation to journal paper #21

229. (JP) Summers, Shane M., Chin, Eric J., Long, Brit J., Grisell, Ronald D., Knight, John G., Grathwohl,

Kurt W., Ritter, John L., Morgan, Jeffrey D., Salinas, Jose, Blackbourne, Lorne H., Computerized

Diagnostic Assistant for the Automatic Detection of Pneumothorax on Ultrasound: A Pilot Study, Western

Journal of Emergency Medicine: Integrating Emergency Care with Population Health, 17 (2), 2016. Citation

to journal paper #21

230. (CP) Mahmoud Al-Ayyoub, Shadi M. AlZu’bi, Yaser Jararweh, and Mohammad A. Alsmirat, A GPU-

Based Breast Cancer Detection System Using Single Pass Fuzzy C-Means Clustering Algorithm, 5th

International Conference on Multimedia Computing and Systems (ICMCS’16), Marrakech, Morocco, 2017.


231. (JP) Skerl, K., Cochran, S., Evans, A., First step to facilitate long-term and multi-centre studies of shear

wave elastography in solid breast lesions using a computer-assisted algorithm, International Journal of

Computer Assisted Radiology and Surgery, 12 (9), pp. 1533-1542, 2017. Citation to journal paper #21

232. (JP) Yassin, N.I.R., Omran, S., El Houby, E.M.F., Allam, H., Machine learning techniques for breast

cancer computer aided diagnosis using different image modalities: A systematic review, Computer Methods

and Programs in Biomedicine, 156, pp. 25-45, 2018. Citation to journal paper #21

Publication P22

{K. Boutsikou, et al., Texture analysis of articular cartilage traumatic changes in the knee calculated from

morphological 3.0T MR imaging, European Journal of Radiology 82, pp. 1266-1272, 2013. ISSN: 0720-048X}

233. (JP) Simone B. Matiotti, Ricardo B. Soder, Rafaela G.Becker, Francisco S. Santos, and Matteo

Baldisserotto, MRI of the Knees in Asymptomatic Adolescent Soccer Players: A Case–Control Study,

Journal of Magnetic Resonance Imaging, 45 (1), 2017. Citation to journal paper #22

234. (JP) Makanyanga, Jesica, et al., "MRI texture analysis (MRTA) of T2-weighted images in Crohn’s

disease may provide information on histological and MRI disease activity in patients undergoing ileal

resection", European Radiology, 27, pp. 589-597, 2017. Citation to journal paper #22

Publication P23

{E. Lavdas, et al. , Elimination of motion, pulsatile flow and cross-talk artifacts using blade sequences in lumbar

spine MR imaging, Magnetic Resonance Imaging 31 (6), pp. 882–890, 2013. ISSN: 0730-725X}

235. (JP) Lavdas, E., Mavroidis, P., Topaltzikis, T., Slatinopoulos, V., Roka, V., Vlachopoulou, A.,

Papanikolaou, N., Stathakis, S., Kapsalaki, E., Batsikas, G., Comparison of BLADE and conventional T2-

TSE sequences for the sagittal visualization of the cervical spinal cord in multiple sclerosis patients - A case

report, Magnetic Resonance Imaging 31 (10), pp. 1766-1770, 2013. Citation to journal paper #23

236. (JP) Yiping, L., Hui, L., Kun, Z., Daoying, G., Bo, Y., Diffusion-weighted imaging of the sellar region:

A comparison study of BLADE and single-shot echo planar imaging sequences, European Journal of

Radiology, 83 (7), pp. 1239-1244, 2014. Citation to journal paper #23

237. (JP) Kwag, E., Lim, S.M., Park, J.E., Chae, I.H., Arterial hyperintensity on BLADE fluid-attenuated

inversion recovery images (FLAIR) in hyperacute territorial infarction: Comparison with conventional

FLAIR, European Radiology, 24 (9), pp. 2045-2051, 2014. Citation to journal paper #23

238. (PhD) Mouin Al Khaddour, The Study Of Artifacts in MR Tomographic Images for Medical And

Technical Applications, PhD Thesis, Vysoké Učení Technické V Brně, Fakulta Elektrotechniky A

Komunikačních Technologií, Ústav Teoretické A Experimentální Elektrotechniky, 2014. Citation to journal

paper #23

239. (JP) Finkenzeller, T., Wendl, C.M., Lenhart, S., Stroszczynski, C., Schuierer, G., Fellner, C., BLADE

sequences in transverse T2-weighted MR imaging of the cervical spinecut-off for artefacts?, Fortschr

Röntgenstr, 187 (2), pp. 102-108, 2015. Citation to journal paper #23


240. (JP) Santucci, D., Lee, S.S., Hartman, H., Walgampaya, S., AlObaidy, M., Ramalho, M., Dale, B.M.,

Semelka, R.C., Comparison of Cartesian and radial acquisition on short-tau inversion recovery (STIR)

sequences in breast MRI, Radiologia Brasileira, 50 (4), pp. 216-223, 2017. Citation to journal paper #23

Publication P24

{E. Lavdas, et al. , Comparison of PD BLADE with fat saturation (FS), PD FS and T2 3D DESS with water

excitation (WE) in detecting articular knee cartilage defects, Magnetic Resonance Imaging 31 (8), pp. 1255-

1262, 2013. ISSN: 0730-725X}

241. (JP) Wu, M.-L., Chang, H.-C., Chao, T.-C., Chen, N.-K., Efficient imaging of midbrain nuclei using

inverse double-echo steady-state acquisition, Medical Physics, 42 (7), pp. 4367-4374, 2015. Citation to

journal paper #24

242. (JP) Lin Zhang, ChunMei Tian, PeiYuan Wang, Liang Chen, XiJin Mao, ShanShan Wang, Xu Wang,

JingMin Dong, Bin Wang, Comparative study of image quality between axial T2‑weighted BLADE and

turbo spin‑echo MRI of the upper abdomen on 3.0 T, Jpn J Radiol, 33:585–590, 2015. Citation to journal

paper #24

243. (JP) Nagatomo, K., Yabuuchi, H., Yamasaki, Y., Narita, H., Kumazawa, S., Kojima, T., Sakai, N.,

Masaki, M., Kimura, H., Efficacy of periodically rotated overlapping parallel lines with enhanced

reconstruction (PROPELLER) for shoulder magnetic resonance (MR) imaging, European Journal of

Radiology, 85 (10), 1735–1743, 2016. Citation to journal paper #24

244. (JP) Mandell, J.C., Rhodes, J.A., Shah, N., (...), Gomoll, A.H., Smith, S.E., Routine clinical knee MR

reports: comparison of diagnostic performance at 1.5 T and 3.0 T for assessment of the articular cartilage,

Skeletal Radiology, 46 (11), pp. 1487-1498, 2017. Citation to journal paper #24

Publication P25

{K. Ninos, et al., Computer based image analysis system designed to differentiate between low grade and high

grade laryngeal cancer cases, Analytical Quantitative Cytology Histology, 35 (5), pp. 261-272, 2013. ISSN:

0884-6812}




246. (BC) Irene Tadeo, Tomás Álvaro, Samuel Navarro and Rosa Noguera, Tumor Microenvironment

Heterogeneity: A Review of the Biology Masterpiece, Evaluation Systems, and Therapeutic Implications,

Composition and Function of the Extracellular Matrix in the Human Body, Dr. Francesco Travascio (Ed.),

InTech, 2016. Citation to journal paper #25

Publication P26

{C. Loukas, et al. , Breast Cancer Characterization based on Image Classification of Tissue Sections Visualized

under Low Magnification, Computational and Mathematical Methods in Medicine, Volume 2013, Article

number 829461, 2013. ISSN: 1748-670X}

247. (JP) Anitha, V., Murugavalli, S., Brain tumor classification based on clustered discrete cosine

transform in compressed domain, Journal of Computer Science, 10 (10), pp. 1908-1916, 2014. Citation to

journal paper #26

248. (JP) V. Koukou, N. Martini, C. Michail, P. Sotiropoulou, C. Fountzoula, N. Kalyvas, I. Kandarakis, G.

Nikiforidis, and G. Fountos, Dual Energy Method for Breast Imaging: A Simulation Study, Computational

and Mathematical Methods in Medicine Article ID 574238, 8 pages, 2015. Citation to journal paper #26

249. (JP) Vujasinovic, T., Pribic, J., Kanjer, K., Milosevic, N.T., Tomasevic, Z., Milovanovic, Z., Nikolic-

Vukosavljevic, D., Radulovic, M., Gray-Level Co-Occurrence Matrix Texture Analysis of Breast Tumor

Images in Prognosis of Distant Metastasis Risk, Microscopy and Microanalysis, 21 (3), pp. 646-654, 2015.


250. (JP) Iidaka, T., Resting state functional magnetic resonance imaging and neural network classified

autism and control, Cortex, 63, pp. 55-67, 2015. Citation to journal paper #26

251. (JP) Pribic, J., Vasiljevic, J., Kanjer, K., Konstantinovic, Z.N., Milosevic, N.T., Vukosavljevic, D.N.,

Radulovic, M., Fractal dimension and lacunarity of tumor microscopic images as prognostic indicators of

clinical outcome in early breast cancer, Biomarkers in Medicine, 9 (12): 1279-1290, 2015. Citation to

journal paper #26


252. (CP) Akhila E., Preethymol B., Detection of malignant tissues: Analysis on segmentation of histology

images, Innovations in Information, Embedded and Communication Systems (ICIIECS), International

Conference on, 2015. Citation to journal paper #26

253. (CP) A.D. Belsare, M.M. Mushrif, M.A. Pangarkar, N. Meshram, Classification of breast cancer

histopathology images using texture feature analysis, TENCON 2015 IEEE Conference, Macao, 1-4 Nov.,


254. (JP) Akhila E., Preethymol B., Detection of Malignant Tissues by Segmentation of Histology Images

using Histograms of Color and Filter Responses, IJIRST –International Journal for Innovative Research in

Science & Technology, 2 (2), 2015. Citation to journal paper #26

255. (JP) D. Kolarevic, Z. Tomasevic, R. Dzodic, K. Kanjer, D.N. Vukosavljevic, M. Radulovic, Early

prognosis of metastasis risk in inflammatory breast cancer by texture analysis of tumour microscopic

images, Biomed Microdevices, 17:92, 2015. Citation to journal paper #26

256. (JP) L. Nanni, M. Paci, F.L. Caetano dos Santos, H. Skottman, K. Juuti-Uusitalo, J. Hyttinen, Texture

Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived

Retinal Pigmented Epithelium, Plos One, doi:10.1371/journal.pone.0149399, February 19, 2016. Citation to

journal paper #26

257. (JP) Rajković, N., Kolarević, D., Kanjer, K., Milošević, N.T., Nikolić-Vukosavljević, D., Radulovic,

M., Comparison of Monofractal, Multifractal and gray level Co-occurrence matrix algorithms in analysis of

Breast tumor microscopic images for prognosis of distant metastasis risk, Biomedical Microdevices, 18:83,


258. (CP) Bayramoglu, N., Kannala, J., Heikkila, J., Deep learning for magnification independent breast

cancer histopathology image classification, Proceedings - International Conference on Pattern Recognition,

7900002, pp. 2440-2445, 2017. Citation to journal paper #26

259. (CP) Vibha Gupta, Arnav Bhavsar, Breast Cancer Histopathological Image Classification: Is

Magnification Important?, IEEE Computer Society Conference on Computer Vision and Pattern

Recognition Workshops, 2017-July, 8014841, pp. 769-776, 2017. Citation to journal paper #26

260. (CP) Pereira, J., Barata, R., Furtado, P., Experiments on automatic classification of tissue malignancy in

the field of digital pathology, Proceedings of SPIE, 2nd International Workshop on Pattern Recognition,

IWPR 2017, Volume 10443, 1-3 May, Singapore, 2017. Citation to journal paper #26

261. (CP) Rajkovic, N., Radulovic, M., Stojadinovic, B., Vukosavljevic, D.N., Kranjer, K., Milosevic, N.T.,

Analysis of Histopathology Images by the Use of Monofractal and Multifractal Algorithms(Conference

Paper), Proceedings of the 21st International Conference on Control Systems and Computer, CSCS 2017,

Article number 7968582, Pages 350-355, 2017. Citation to journal paper #26

262. (JP) Jia-Mei Chen, Yan Li, Jun Xu, Lei Gong, Lin-Wei Wang, Wen-Lou Liu, Juan Liu, Computer-

aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review, Tumor

biology, 1-12, 2017. Citation to journal paper #26

263. (JP) H. Al-Sahaf, Genetic Programming for Automatically Synthesising Robust Image Descriptors with

A Small Number of Instances, PhD Thesis, Doctor of Philosophy in Computer Science, Victoria University

of Wellington, 2017. Citation to journal paper #26

264. (JP) Irene Fondon, Auxiliadora Sarmiento, Ana Isabel García, María Silvestre, Catarina Eloy, Antonio

Polonia, Paulo Aguiar, Automatic classification of tissue malignancy for breast carcinoma diagnosis,

Computers in Biology and Medicine, 96, 41–51, 2018. Citation to journal paper #26

265. (JP) Yassin, N.I.R., Omran, S., El Houby, E.M.F., Allam, H., Machine learning techniques for breast

cancer computer aided diagnosis using different image modalities: A systematic review, Computer Methods

and Programs in Biomedicine, 156, pp. 25-45, 2018. Citation to journal paper #26

Publication P28

{E. Lavdas, et al. Reduction of motion, truncation and flow artifacts using BLADE sequences in cervical spine

MR imaging. Magnetic Resonance Imaging 33 (2), pp. 194-200, 2015. ISSN: 0730-725X}

266. (JP) Lukas, C., Sailer, M., Relevance of Magnet Resonance Tomography in the Diagnosis and

Assessment of Course of Disease in Patients with Multiple Sclerosis | [Magnetresonanztomografie bei

Patienten mit Multipler Sklerose: Relevanz in der Diagnose und Verlaufsbeurteilung], Klinische

Neurophysiologie, 46 (3), pp. 111-122, 2015. Citation to journal paper #28

267. (JP) Lukas, C., Sailer, M., Relevance of Magnet Resonance Tomography in the Diagnosis and

Assessment of Course of Disease in Patients with Multiple Sclerosis | [Magnetresonanztomografie bei

Patienten mit Multipler Sklerose: Relevanz in der Diagnose und Verlaufsbeurteilung], Fortschritte der

Neurologie Psychiatrie, 83 (9), pp. 522-534, 2015. Citation to journal paper #28

268. (JP) Nagatomo, K., Yabuuchi, H., Yamasaki, Y., Narita, H., Kumazawa, S., Kojima, T., Sakai, N.,

Masaki, M., Kimura, H., Efficacy of periodically rotated overlapping parallel lines with enhanced

reconstruction (PROPELLER) for shoulder magnetic resonance (MR) imaging, European Journal of

Radiology, 85 (10), 1735–1743, 2016. Citation to journal paper #28


269. (BC) Ross, J.S., Bendock, B.R., McClendon, J., Imaging in Spine Surgery, Elsevier, pp. 1-481, 2017.


Publication P29

{Spiros Kostopoulos, et al., Assessing The Performance Of Four Different Categories Of Histological Criteria In

Brain Tumors Grading By Means Of A Computer-Aided Diagnosis Image Analysis System, Journal of

Microscopy, 260 (1), pp. 37-46, 2015. ISSN: 1365-2818}

270. (JP) Yudong Zhang, Yi Sun, Preetha Phillips, Ge Liu, Xingxing Zhou, Shuihua Wang, A Multilayer

Perceptron Based Smart Pathological Brain Detection System by Fractional Fourier Entropy, Journal of

Medical Systems, 40:173, 2016. Citation to journal paper #29

Publication P31

{Spiros Kostopoulos, et al., An Ensemble Template Matching and Content-Based Image Retrieval Scheme

Towards Early Stage Detection of Melanoma, Image Analysis and Stereology, 35 (3), pp. 137-148, 2016. ISSN:

0937-4477}

271. (JP) Kreft, M., Research highlights in IAS, Image Analysis and Stereology, 36 (1), pp. 1-3, 2017.


272. (JP) Victor A., Ghalib M.R., A hybrid segmentation approach for detection and classification of skin

cancer, Biomedical Research (India), 28 (16), pp.6947-6954, 2017. Citation to journal paper #31

Publication P33

{Spiros A. Kostopoulos, et al., Computer-based automated estimation of breast vascularity and correlation with

breast cancer in DCE-MRI images, Magnetic Resonance Imaging, 35, pp. 39-45, 2017. ISSN: 0730-725X}

273. (CP) Gaizer B.T., Vassiou K.G., Lavdas E., Arvanitis, D.L., Fezoulidis I.V., Glotsos D.T., Comparative

analysis of methods for extracting vessel network on breast MRI images, Journal of Physics: Conference

Series, 931 (1), art. no. 012023, 2017. Citation to journal paper #33

274. (CP) Toto Haryanto, Ito Wasito, Hera Suhartanto, Convolutional Neural Network (CNN) for Gland

Images Classification, International Conference on Information & Communication Technology and System

(ICTS), 2017. Citation to journal paper #33

Publication P35

{Panayiotis Mavroidis, et al. Brain Imaging: Comparison of T1W FLAIR BLADE with conventional T1W SE,

Magnetic Resonance Imaging, 37, pp. 234-242, 2017. ISSN: 0730-725X.}

275. (JP) Park, J.E., Choi, Y.H., Cheon, J.-E., Kim, W.S., Kim, I.-O., Ryu, Y.J., Paek, M.Y., Three-

dimensional radial VIBE sequence for contrast-enhanced brain imaging: An alternative for reducing motion

artifacts in restless children, American Journal of Roentgenology, 210(4), pp. 876-882, 2018. Citation to

journal paper #35

Publication C1

{S. Kostopoulos, et al. “Development of a for brain blood vessel segmentation method in CT-angiography” in

3rd European Medical & Biological Engineering Conference IFMBE European Conference on Biomedical

Engineering (EMBEC), Prague, 2005}

276. (CP) Demir, S.U., Mirshahi, N., Ward, K., Hakimzadeh, R., Hobson, R., Najarian, K., Vessel extraction

of microcirculatory video recordings using multi-thresholding based verification algorithm, International

Conference on Biosciences, BioSciencesWorld 2010, art. no. 5445576, pp. 11-15, 2010. Citation to

conference paper #1

277. (BC) Stephanie Behrens, Automatic Level Set Based Cerebral Vessel Segmentation and Bone Removal

in CT Angiography Data Sets, in J. Weickert, M. Hein, and B. Schiele (Eds.): GCPR 2013, LNCS 8142, pp.

237–242, Springer-Verlag Berlin Heidelberg, 2013. Citation to conference paper #1

Publication C8

{S. Kostopoulos, et al., “Image Analysis System For Assessing The Estrogen Receptor’s Positive Status In

Breast Tissue Carcinomas”, in The International Special Topic Conference On Information Technology In

Biomedicine (ITAB), Ioannina, October 26-28, 2006}


278. (JP) Nikolaos Pagonis, Dionisis Cavouras, Kostas Sidiropoulos, George Sakellaropoulos and George

Nikiforidis, Improving the classification accuracy of computer aided diagnosis through multimodality breast

imaging, e-Journal of Science & Technology (e-JST), (2) 5, 2010. Citation to conference paper #8

279. (CP) Budiningsih, Andrijono, Tjahja Kurjana, Maringan D. Lumban Tobing, Analisis Serta Stitching

Citra Imunohistokimia MIB-1 Dengan Immunoratio Dan Perangkat Lunak Nish Element D 2.30, Lokakarya

Komputasi dalam Sains dan Teknologi Nuklir, 10 Oktober (187-196), 2012. Citation to conference paper #8

280. (JP) Kalinli, A., Sarikoc, F., Akgun, H., Ozturk, F., Performance comparison of machine learning

methods for prognosis of hormone receptor status in breast cancer tissue samples, Computer Methods and

Programs in Biomedicine 110 (3), pp. 298-307, 2013. Citation to conference paper #8

281. (JP) Sarikoç, F., Kalinli, A., Akgün, H., Öztürk, F., An automated prognosis system for estrogen

hormone status assessment in breast cancer tissue samples, Turkish Journal of Electrical Engineering and

Computer Sciences 21 (4) , pp. 1199-1221, 2013. Citation to conference paper #8

Publication C9

{A. Daskalakis, et al., ”Improving Microarray Spots Segmentation by K-Means driven Adaptive Image

Restoration” in The International Special Topic Conference On Information Technology In Biomedicine (ITAB),

Ioannina, October 26-28, 2006}

282. (JP) Jatti, Anand, and C. Amritha. "A Review on Segmentation & Intensity Extraction of cDNA

Microarray Images", International Journal of Innovative Research and Development, 2(2): 243-256, 2013.

Citation to conference paper #8

Publication C10

{A. Daskalakis, et al., Development of a Cascade Processing Method for Microarray Spot Segmentation,

proceedings of 3d Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Girona, Spain, June

6-8, 2007}

283. (JP) Korayem, M. H., and S. Esmaeilzadehha, "Virtual reality interface for nano-manipulation based on

enhanced images", The International Journal of Advanced Manufacturing Technology, 63: 1153-1166, 2012.


Publication C11

{A. Daskalakis, et al., “An Efficient CLAHE-based, Spot-Adaptive, image segmentation technique for

improving Microarray Genes’ Quantification”, in 2nd International Conference on Experiments/ Process/ System

Modelling/ Simulation/ Optimization, Athens, Greece, July 4-7, 2007}

284. (JP) Anifah, Lilik, et al. "Automatic Segmentation of Impaired Joint Space Area for Osteoarthritis

Knee on X-ray Image using Gabor Filter Based Morphology Process", IPTEK The Journal for Technology

and Science, 22 (3), 2011. Citation to conference paper #11

285. (JP) Indra Kanta Maitra, Sanjay Nag, Samir K Bandyopadhyay, Accurate Breast Contour Detection

Algorithms in Digital Mammogram, International Journal of Computer Applications (0975 – 8887), 25 (5),

2011. Citation to conference paper #11

286. (JP) Ponraj, D. Narain, et al., "A survey on the preprocessing techniques of mammogram for the

detection of breast cancer", Journal of Emerging Trends in Computing and Information Sciences, 2 (12):

656-664, 2011. Citation to conference paper #11

287. (JP) Singh, Balvant, Ravi Shankar Mishra, and Puran Gour, "Analysis of contrast enhancement

techniques for underwater image", International Journal of Computer Technology and Electronics

Engineering, 1 (2): 190-194, 2011. Citation to conference paper #11

288. (JP) Indra Kanta Maitra, Sanjay Nag, Samir Kumar Bandyopadhyay, Technique for preprocessing of

digital mammogram, Computer Methods and Programs in Biomedicine, 107 (2), 175–188, 2012. Citation to

conference paper #11

289. (JP) Shome, Saikat Kumar, and Siva Ram Krishna Vadali, "Enhancement of Diabetic Retinopathy

Imagery Using Contrast Limited Adaptive Histogram Equalization." International Journal of Computer

Science and Information Technologies, 2 (6): 2694-2699, 2011. Citation to conference paper #11

290. (JP) C.N. Paunwala, S. Patnaik, An adaptive integrated rule-based algorithm for license plate

localization, Opto−Electron. Rev., 20 (4), 323-334, 2012. Citation to conference paper #11

291. (JP) Talha, Muhammad, and Ghazali Bin Sulong, "Preprocessing and pectoral muscle separation from

breast mammograms", International Journal of Physical Sciences, 7 (3): 471-477, 2012. Citation to


292. (JP) Talha, Muhammad, et al., "Breast Mammograms Classification using Reduced Features by

Bayesian Classifier", Archives Des Sciences, 65 (8), 2012. Citation to conference paper #11


293. (JP) Lilik Anifah, I Ketut Eddy Purnama, Mochamad Hariadi and Mauridhi Hery Purnomo,

Osteoarthritis Classification Using Self Organizing Map Based on Gabor Kernel and Contrast-Limited

Adaptive Histogram Equalization, The Open Biomedical Engineering Journal, 7, 18-28, 2013. Citation to


294. (JP) Beohar, Ritesh, and Pankaj Sahu, "Subaquaous Image Intensification & Partitioning Methodology

With 2D Median Filtering", International Journal of Emerging Technology and Advanced Engineering, 3(7),


295. (JP) Beohar, Ritesh, and Pankaj Sahu, "Performance Analysis of Underwater Image Enhancement with

CLAHE 2D Median Filtering Technique On the Basis Of SNR, RMS Error, Mean Brightness", International

Jounal of Engineering and Innovative Technology, 3 (2): 252-528, 2013. Citation to conference paper #11

296. (JP) Talha, Muhammad, and Ghazali Solung, "Reduced Transformed Features Based Breast

Mammograms Classification", Life Science Journal, 10(7s), 2013. Citation to conference paper #11

297. (JP) Cheng-Yi Yu, Hsueh-Yi Lin, Yen-Chieh Ouyang and Tzu-Wei Yu, Modulated AIHT Image

Contrast Enhancement Algorithm based on Contrast-Limited Adaptive Histogram Equalization, Appl. Math.

Inf. Sci. 7, No. 2L, 449-454, 2013. Citation to conference paper #11

298. (JP) Choukikar, Prashant, Arun Kumar Patel, and Ravi Shankar Mishra, "Segmenting the Optic Disc in

Retinal Images using Thresholding", International Journal of Computer Applications, 94 (11): 6-10, 2014.


299. (JP) Singh, Shivendra, et al., "Performance Evaluation of Spatial Domain Contrast Enhancement

Techniques for Underwater Images", International Journal of Computer Applications, 93 (11), 2014.


300. (JP) Anand, Sanyam, et al., "A Proposed Work on Segmentation based Enhancement of Medical

Images for Rapid Diagnosis in Telemedicine", International Journal of Engineering and Technology (IJET),

7(4), 2015. Citation to conference paper #11

Publication C14

{P. Bougioukos, et al., "Proteomic Mass Spectra Classification for Biomarker Discovery in Prostate Cancer,

employing pattern recognition techniques", in 2nd International Conference on Experiments/ Process/ System

Modelling/ Simulation/ Optimization, Athens, Greece, July 4-7, 2007}

301. (JP) Miguel García-Torres, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga, Comparison of

metaheuristic strategies for peakbin selection in proteomic mass spectrometry data, Information Sciences

222, 229–246, 2013. Citation to conference paper #14

Publication C16

{S. Kostopoulos, et al., "Colour-Texture Based Image Analysis Method for Assessing the Hormone Receptors

Status in Breast Tissue Sections", proceedings of the 29th Annual International Conference of the IEEE

Engineering in Medicine and Biology Society, Lyon, France, August 23-26, 2007}

302. (CP) Amaral, Telmo, et al., "Classification of breast tissue-microarray spots using texton histograms",

Medical Image Understanding and Analysis, Dundee, United Kingdom, 999-1002, 2008. Citation to


303. (CP) Amaral, T., McKenna, S., Robertson, K. and Thompson, A., Scoring of breast tissue microarray

spots through ordinal regression, Lisboa; 5 February 2009, VISAPP 2009 - Proceedings of the 4th

International Conference on Computer Vision Theory and Applications, 2: 243-248, 2009. Citation to


304. (JP) Tuominen, V.J., Ruotoistenmäki, S., Viitanen, A., Jumppanen, M., Isola, J., ImmunoRatio: a

publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone

receptor (PR), and Ki-67, Breast Cancer Research, 12:R56, 2010. Citation to conference paper #16

305. (PhD) Amaral Telmo, Analysis of breast tissue microarray spots, PhD Thesis, University of Dundee,


306. (JP) Prasad, Keerthana, et al., "Automation of immunohistochemical evaluation in breast cancer using

image analysis", World J Clin Oncol, 2 (4): 187-194, 2011. Citation to conference paper #16

307. (JP) Singh, Shekhar, P. R. Gupta, and Manish Kumar Sharma, "Breast cancer detection and

classification of histopathological images", International Journal of Engineering Science and Technology,

3(5): 4228, 2011. Citation to conference paper #16

308. (JP) Sharon Nofech-Mozes, Emily T. Vella, Sukhbinder Dhesy-Thind, Karen L. Hagerty, Pamela B.

Mangu, Sarah Temin, and Wedad M. Hanna, Systematic Review on Hormone Receptor Testing in Breast

Cancer, Appl Immunohistochem Mol Morphol, 20 (3), 2012. Citation to conference paper #16

309. (JP) Nofech-Mozes, S., et al., "Cancer Care Ontario guideline recommendations for hormone receptor

testing in breast cancer", Clinical Oncology, 24 (10): 684-696, 2012. Citation to conference paper #16








312. (JP) Amaral, T., McKenna, S.J., Robertson, K., Thompson, A., Classification and

immunohistochemical scoring of breast tissue microarray spots, IEEE Transactions on Biomedical

Engineering 60 (10), pp. 2806-2814, 2013. Citation to conference paper #16

313. (PhD) Lu Juan, "Objective assessment of psoriasis treatment through skin images", PhD Thesis,

University of Melbourne, 2014. Citation to conference paper #16

Publication C17

{A. Daskalakis, et al., 'Genes expression level quantification using a spot-based algorithmic pipeline', 29th

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France, 23-

26 August, 2007}




Publication C18

{A. Daskalakis, et al., “Effective quantification of gene expression levels in microarray images using a spot-

adaptive compound clustering-enhancement-segmentation scheme”, proceedings of International Conference on

Computational Science and Applications (ICCSA 2007), Kuala Lumpur, Malaysia, August 26-29, 2007}

315. (CP) Nagesh, A.S., Varma, G.P.S., Govardhan, A., Evaluating the performance of watershed and

morphology on microarray spot segmentation, 2010 2nd International Conference on Computing,

Communication and Networking Technologies, ICCCNT 2010, Karur, 29-31 July 2010. Citation to


316. (JP) Gopu, G., R. Neelaveni, and K. Porkumaran, "An Improved Iterative Watershed and

Morphological Transformation Techniques for Segmentation of Microarray Images", International Journal

of Computer Applications (IJCA), 2: 7-10, 2010. Citation to conference paper #18

317. (JP) Miguel Ángel García-Álvarez, Abel Toledano-Hernández, Armando Torras-Fernández de Coca,

Jorge Gentile-Martínez Casado, Omar Pico-García, Félix Pico-García, Serguey Hernández-Pereira,

Evislandy Herrera-Vélez, Alexis Marrero-Rodríguez, Milenen María Hernández-Marín, María Elena Selles-

León, José Luis Fernández-Yero, Dennys González-Aguilera y René Robaina-Álvarez, Instrumentos para

dispensado y lectura de microarreglos: robot cartesiano y lector de CCD, Revista CENIC Ciencias Químicas,

43, 2012. Citation to conference paper #18

Publication C20

{S. Kostopoulos, et al. , “Assessing Estrogen Receptors’ Status by Texture Analysis of Breast Tissue Specimens

and Pattern Recognition Methods”, proceedings of 12th International Conference on Computer Analysis of

Images and Patterns, Vienna, Austria, August 27-29, 2007.}

318. (CP) Supriyanto, E., Tahir, N.A., Nooh, S.M., Automatic ultrasound kidney's centroid detection system,

Recent Researches in Computer Science - Proceedings of the 15th WSEAS International Conference on

Computers, Part of the 15th WSEAS CSCC Multiconference, pp. 160-165, 2011. Citation to conference

paper #20

319. (BC) Gopal Karemore, Brad M. Keller, Huen Oh, Julia Tchou, Mads Nielsen, Emily F. Conant, and

Despina Kontos, Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific

Breast Cancer Risk Estimation, in A.D.A. Maidment, P.R. Bakic, and S. Gavenonis (Eds.): IWDM 2012,

LNCS 7361, pp. 596–603, Springer-Verlag Berlin Heidelberg, 2012. Citation to conference paper #20

320. (JP) Wan M. Hafizah, Eko Supriyanto, Automatic Generation of Region of Interest for Kidney

Ultrasound Images Using Texture Analysis, International Journal Of Biology and Biomedical Engineering, 6

(1), 2012. Citation to conference paper #20

321. (JP) Prasad, K., Prabhu, G.K., Image analysis tools for evaluation of microscopic views of

immunohistochemically stained specimen in medical research - A review, Journal of Medical Systems 36

(4), pp. 2621-2631, 2012. Citation to conference paper #20


322. (PhD) Ilanthodi Keerthana, "Color image analysis for staining intensity quantification-its application to

medical research and diagnostic purposes", PhD Thesis, Manipal University, 2012. Citation to conference

paper #20




324. (JP) Mouelhi, A., Sayadi, M., Fnaiech, F., Mrad, K., Ben Romdhane, K, A new automatic image

analysis method for assessing estrogen receptors' status in breast tissue specimens, Computers in Biology

and Medicine, 43 (12), 2263-2277, 2013. Citation to conference paper #20




326. (CP) S. Jitaree, A. Phinyomark, P. Phukpattaranont, P. Boonyapiphat, Classifying Breast Cancer

Regions in Microscopic Image using Texture Features, 13th International Conference on Electrical



Publication C22

{K. Banitsas, et al., “A Simple Algorithm to Monitor HR for Real Time Treatment Applications”, in the 9th

International Conference on Information Technology and Applications in Biomedicine (ITAB), Larnaca,

November 5-7, 2009.}

327. (CP) Pelegris, P., et al., "A novel method to detect Heart Beat Rate using a mobile phone", Engineering

in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, 5488-5491, 2010.


328. (CP) Laure, Denis, "Heart rate measuring using mobile phone’s camera." Proceedings of the 12th

Conference of Open Innovations Association FRUCT and Seminar on e-Travel, Oulu, Finland, 2012.


329. (JP) Zaqout Ihab, "Heart Rate Monitoring: The Analysis of Fingertip Video Captured Via

Smartphone", International Journal of Computers & Technology 3(3): 481-484, 2012. Citation to conference

paper #22

330. (PT) Dantu, Ramanamurthy, "911 services and vital sign measurement utilizing mobile phone sensors

and applications", U.S. Patent Application No. 13/623,273, 2012. Citation to conference paper #22

331. (CP) Laure, Denis, and Ilya Paramonov, "Improved algorithm for heart rate measurement using mobile

phone camera." Proceedings of the 13th Conference of Open Innovations Association FRUCT and 2nd

Seminar on e-Tourism for Karelia and Oulu Region, Petrozavodsk, Russia, 2013. Citation to conference

paper #22

332. (CP) Norouzi, N., Aarabi, P., "Multi-channel heart-beat detection", Global Conference on Signal and

Information Processing (GlobalSIP), IEEE, 739-742, 2013. Citation to conference paper #22

333. (CP) Thiyagaraja, Shanti, and Ram Dantu, "Finger blood flow monitoring using smart phones",

Proceedings of the 8th International Conference on Body Area Networks, ICST (Institute for Computer

Sciences, Social-Informatics and Telecommunications Engineering), 2013. Citation to conference paper #22

334. (JP) Chandrasekaran, V., et al., "Cuffless Differential Blood Pressure Estimation Using Smart Phones",

Biomedical Engineering, IEEE Transactions on, 60 (4): 1080 - 1089, 2013. Citation to conference paper #22

335. (CP) Han, Teng, et al., "Designing engaging camera based mobile games for implicit heart rate

monitoring", CHI'14 Extended Abstracts on Human Factors in Computing Systems, ACM, 2014. Citation to


336. (JP) Abinaya, M., S. Prabhakaran, and N. Jaisankar., "Photoplethysmography On Smart Phone Using

Savitzky-Golay Filter", International Journal of Scientific & Engineering Research, 5 (6), 2014. Citation to


337. (JP) Sathya, V., and R. Mohan Raj., "Estimation and Detection of Blood Pressure Using Smart Phones

without Using Cuff", International Journal of Computer Science and Mobile Computing, 3(3): 609-615,


338. (PhD) Ramli, Nur Ilyani Binti, Design and development of a low cost heart best monitor device using

finger photoplethysmography technique, PhD Thesis, University of Bradford, 2015. Citation to conference

paper #22

339. (CP) Fan, Xiangmin, and Jingtao Wang, "BayesHeart: A Probabilistic Approach for Robust, Low-

Latency Heart Rate Monitoring on Camera Phones", Proceedings of the 20th International Conference on

Intelligent User Interfaces, ACM, 2015. Citation to conference paper #22


340. (CP) Han, Teng, et al., "Balancing accuracy and fun: designing camera based mobile games for implicit

heart rate monitoring", Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing

Systems, ACM, 2015. Citation to conference paper #22

341. (CP) Papon, Md. Tarikul Islam, et al., "Non-invasive heart rate measuring smartphone applications

using on-board cameras: A short survey", Networking Systems and Security (NSysS), International

Conference on, 2015. Citation to conference paper #22

342. (CP) Shukla, S.N., et al., "Noninvasive cuffless blood pressure measurement by vascular transit time",

VLSI Design (VLSID), 28th International Conference on, 535-540, 2015. Citation to conference paper #22

343. (JP) Huanga, Shiannfong, Jia Cheng Yangb, and Meng-Che Hsieha, "A Remote Body Weight Care

System", BioEvolution, 2 (1), 01-05, 2015. Citation to conference paper #22

344. (CP) D. Aranki, G. Kurillo, A. Mani, P. Azar, J. van Gaalen, Q. Peng, P. Nigam, M. P. Reddy, S.

Sankavaram, Q. Wu and R. Bajcsy, A Telemonitoring Framework for Android Devices, IEEE First

International Conference on Connected Health: Applications, Systems and Engineering Technologies

(CHASE), 2016. Citation to conference paper #22

345. (JP) Jean-Pierre Lomaliza, Hanhoon Park, A highly efficient and reliable heart rate monitoring system

using smartphone cameras, Multimedia Tools and Applications, pp 1–21, 2016. Citation to conference paper

#22 346. (CP) Guo, W., Wang, J., SmartRSVP: Facilitating attentive speed reading on small screen wearable

devices, Conference on Human Factors in Computing Systems - Proceedings, Part F127655, pp. 1640-1647,


347. (JP) Lomaliza, J.-P., Park, H., Improved peak detection technique for robust PPG-based heartrate

monitoring system on smartphones, Multimedia Tools and Applications, pp. 1-25, 2017. Citation to


348. (JP) Tharoeun ThapHeewon ChungChangwon JeongJonghyun RyuYunyoung NamKwon-Ha

YoonJinseok Lee, Real-time heart activity monitoring with optical illusion using a smartphone, Multimedia

Tools and Applications, 77 (5): 6209–6224, 2018.

Publication C33

{Glotsos D., et al, “A Modified Seeded Region Growing Algorithm for Vessel Segmentation in Breast MRI

Images for Investigating the Nature of Potential Lesions”, International Conference on Mathematical Modeling

in Physical Sciences, Prague, Czech Republic, September 1-5, 2013, Journal of Physics: Conf. Ser. 490

012136.}

349. (JP) Gilad Kahala, Miri Sklair and Hedva Spitzer, Multi-Scale Blood Vessel Detection and

Segmentation in Breast MRIs, J Biomed Eng Med Devic, 2: 122, 2017. Citation to journal paper #33

Publication C34

{Kostopoulos S. et al, “Multimodality imaging and state-of-art GPU technology in discriminating benign from

malignant breast lesions on real time decision support system”, proceedings of International Conference on

Mathematical Modeling in PhysicalSciences, Prague, Czech Republic, September 1-5, 2013, Journal of Physics:

Conf. Ser. 490 012137.}

350. (CP) Mahmoud Al-Ayyoub, Shadi M. AlZu’bi, Yaser Jararweh, and Mohammad A. Alsmirat, A GPU-

Based Breast Cancer Detection System Using Single Pass Fuzzy C-Means Clustering Algorithm, 5th

International Conference on Multimedia Computing and Systems (ICMCS’16), Marrakech, Morocco, 2016.


Publication C41

{S. A. Kostopoulos, A. D. Savva, P. A. Asvestas, C. D. Nikolopoulos, C. N. Capsalis, and D. A. Cavouras, Early

breast cancer detection method based on a simulation study of single-channel passive microwave radiometry

imaging, 4th International Conference on Mathematical Modelling in Physical Sciences, Mykonos, Greece, 5-8

June, 2015.}

351. (JP) Maria Koutsoupidou, Evangelos Groumpas, Irene S. Karanasiou, Maria Christopoulou,

Konstantina Nikita, Nikolaos Uzunoglu, The effect of using a dielectric matching medium in focused

microwave radiometry: an anatomically detailed head model study, Medical and Biological Engineering and

Computing, 56(5), pp. 809-816, 2018. Citation to journal paper #41

Βιογραφικό σημείωμα · Σπύρος Α. Κωστόπουλος,...

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