Publications for David Dagan Feng - University of Sydney · Wang, X., Feng, D., Wang, L., et al...

Publications for David Dagan Feng

2020Yan, K., Wang, X., Kim, J., Feng, D. (2020). A NewAggregation of DNN Sparse and Dense Labeling for SaliencyDetection [Early Access]. IEEE Transactions on Cybernetics, ,1-14. <ahref="http://dx.doi.org/10.1109/TCYB.2019.2963287">[MoreInformation]</a>

Chen, B., Wang, L., Wang, X., Sun, J., Huang, Y., Feng, D.,Xu, Z. (2020). Abnormality detection in retinal image byindividualized background learning. Pattern Recognition, 102,1-13. <ahref="http://dx.doi.org/10.1016/j.patcog.2020.107209">[MoreInformation]</a>

Cui, H., Wang, H., Yan, K., Wang, X., Zuo, W., Feng, D.(2020). Biomedical image segmentation for precision radiationoncology. In David Dagan Feng (Eds.), BiomedicalInformation Technology (2nd Edition), (pp. 295-319).Gurugram: Elsevier. <a href="http://dx.doi.org/10.1016/B978-0-12-816034-3.00010-9">[More Information]</a>

Kumar, A., Fulham, M., Feng, D., Kim, J. (2020). Co-LearningFeature Fusion Maps from PET-CT Images of Lung Cancer.IEEE Transactions on Medical Imaging, 39(1), 204-217. <ahref="http://dx.doi.org/10.1109/tmi.2019.2923601">[MoreInformation]</a>

Li, P., Wang, X., Xu, C., Liu, C., Zheng, C., Fulham, M., Feng,D., Wang, L., Song, S., Huang, G. (2020). F-FDG PET/CTradiomic predictors of pathologic complete response (pCR) toneoadjuvant chemotherapy in breast cancer patients[Forthcoming]. European Journal of Nuclear Medicine andMolecular Imaging. <a href="http://dx.doi.org/10.1007/s00259-020-04684-3">[More Information]</a>

Wang, J., Wang, W., Wang, L., Wang, Z., Feng, D., Tan, T.(2020). Learning visual relationship and context-aware attentionfor image captioning. Pattern Recognition, 98. <ahref="http://dx.doi.org/10.1016/j.patcog.2019.107075">[MoreInformation]</a>

2019Li, P., Zhang, A., Liu, Y., Xu, C., Tang, L., Yuan, H., Liu, Q.,Wang, X., Feng, D., Wang, L., et al (2019). 131I Therapy inPatients with Differentiated Thyroid Cancer: Study of ExternalDose Rate Attenuation Law and Individualized PatientManagement. Thyroid, 29(1), 93-100. <ahref="http://dx.doi.org/10.1089/thy.2017.0570">[MoreInformation]</a>

Jung, Y., Kim, J., Bi, L., Kumar, A., Feng, D., Fulham, M.(2019). A direct volume rendering visualization approach forserial PETï¿½CT scans that preserves anatomical consistency.International Journal of Computer Assisted Radiology andSurgery, 14(5), 733-744. <ahref="http://dx.doi.org/10.1007/s11548-019-01916-2">[MoreInformation]</a>

Yan, K., Wang, X., Kim, J., Khadra, M., Fulham, M., Feng, D.(2019). A Propagation-DNN: Deep Combination Learning ofMulti-level Features for MR Prostate Segmentation. ComputerMethods and Programs in Biomedicine, 170, 11-21. <ahref="http://dx.doi.org/10.1016/j.cmpb.2018.12.031">[MoreInformation]</a>

Zeng, S., Wang, Z., Huang, R., Chen, L., Feng, D. (2019). A

study on multi-kernel intuitionistic fuzzy C-means clusteringwith multiple attributes. Neurocomputing, 335, 59-71. <ahref="http://dx.doi.org/10.1016/j.neucom.2019.01.042">[MoreInformation]</a>

Jung, H., Jung, Y., Feng, D., Fulham, M., Kim, J. (2019). Aweb-based multidisciplinary team meeting visualisation system.International Journal of Computer Assisted Radiology andSurgery, 14(12), 2221-2231. <ahref="http://dx.doi.org/10.1007/s11548-019-01999-x">[MoreInformation]</a>

Yan, K., Wang, X., Kim, J., Li, C., Feng, D., Khadra, M.(2019). Automated Prostate Image Recognition andSegmentation. In Ayman El-Baz, Gyan Pareek, Jasjit S. Suri(Eds.), Prostate Cancer Imaging: An Engineering and ClinicalPerspective, (pp. 243-258). Boca Raton: CRC Press.

Ahn, E., Kumar, A., Fulham, M., Feng, D., Kim, J. (2019).Convolutional sparse kernel network for unsupervised medicalimage analysis. Medical Image Analysis, 56, 140-151. <ahref="http://dx.doi.org/10.1016/j.media.2019.06.005">[MoreInformation]</a>

Wen, Y., Sheng, B., Li, P., Lin, W., Feng, D. (2019). DeepColor Guided Coarse-to-Fine Convolutional Network Cascadefor Depth Image Super-Resolution. IEEE Transactions onImage Processing, 28(2), 994-1006. <ahref="http://dx.doi.org/10.1109/TIP.2018.2874285">[MoreInformation]</a>

Kamel, A., Bin, S., Yang, P., Li, P., Shen, R., Feng, D. (2019).Deep Convolutional Neural Networks for Human ActionRecognition Using Depth Maps and Postures. IEEETransactions on Systems, Man, and Cybernetics: Systems,49(9), 1806-1819. <ahref="http://dx.doi.org/10.1109/TSMC.2018.2850149">[MoreInformation]</a>

Karambakhsh, A., Kamel, A., Sheng, B., Li, P., Yang, P., Feng,D. (2019). Deep gesture interaction for augmented anatomylearning. International Journal of Information Management, 45,328-336. <ahref="http://dx.doi.org/10.1016/j.ijinfomgt.2018.03.004">[More Information]</a>

Guo, Y., Bi, L., Kumar, A., Gao, Y., Zhang, R., Feng, D.,Wang, Q., Kim, J. (2019). Deep Local-Global RefinementNetwork for Stent Analysis in IVOCT Images. 22ndInternational Conference on Medical Image Computing andComputer-Assisted Intervention (MICCAI 2019), Cham:Springer. <a href="http://dx.doi.org/10.1007/978-3-030-32254-0_60">[More Information]</a>

Peng, Y., Bi, L., Guo, Y., Feng, D., Fulham, M., Kim, J. (2019).Deep multi-modality collaborative learning for distantmetastases predication in PET-CT soft-tissue sarcoma studies.41st Annual International Conference of the IEEE Engineeringin Medicine and Biology Society (EMBC 2019), Piscataway:Institute of Electrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/embc.2019.8857666">[MoreInformation]</a>

Aleem, S., Sheng, B., Li, P., Yang, P., Feng, D. (2019). Fastand Accurate Retinal Identification System: Using RetinalBlood Vasculature Landmarks. IEEE Transactions onIndustrial Informatics, 15(7), 4099-4110. <ahref="http://dx.doi.org/10.1109/TII.2018.2881343">[More

Information]</a>

Fang, L., Wu, G., Kang, W., Wu, Q., Wang, Z., Feng, D.(2019). Feature covariance matrix-based dynamic hand gesturerecognition. Neural Computing and Applications, 31(12), 8533-8546. <a href="http://dx.doi.org/10.1007/s00521-018-3719-3">[More Information]</a>

Hua, H., Tang, W., Xu, X., Feng, D., Shu, L. (2019). Flexiblemulti-layer semi-dry electrode for scalp EEG measurements athairy sites. Micromachines, 10(8). <ahref="http://dx.doi.org/10.3390/mi10080518">[MoreInformation]</a>

Cheema, M., Nazir, A., Sheng, B., Li, P., Qin, J., Kim, J., Feng,D. (2019). Image-Aligned Dynamic Liver Reconstruction UsingIntra-Operative Field of Views for Minimal Invasive Surgery.IEEE Transactions on Biomedical Engineering, 66(8), 2163-2173. <ahref="http://dx.doi.org/10.1109/TBME.2018.2884319">[MoreInformation]</a>

Bi, L., Feng, D., Fulham, M., Kim, J. (2019). Improving skinlesion segmentation via stacked adversarial learning. 16th IEEEInternational Symposium on Biomedical Imaging (ISBI 2019),Venice: Institute of Electrical and Electronics Engineers(IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2019.8759479">[MoreInformation]</a>

Wang, L., Dong, T., Xin, B., Xu, C., Guo, M., Zhang, H., Feng,D., Wang, X., Yu, J. (2019). Integrative nomogram of CTimaging, clinical, and hematological features for survivalprediction of patients with locally advanced non-small cell lungcancer. European Radiology, 29(6), 2958-2967. <ahref="http://dx.doi.org/10.1007/s00330-018-5949-2">[MoreInformation]</a>

Zheng, Y., Fu, H., Li, R., Lo, W., Chi, Z., Feng, D., Song, Z.,Wen, D. (2019). Intelligent evaluation of strabismus in videosbased on an automated cover test. Applied Sciences, 9(4), 1-16.<a href="http://dx.doi.org/10.3390/app9040731">[MoreInformation]</a>

Yao, Z., Zhang, B., Wang, Z., Ouyang, W., Xu, D., Feng, D.(2019). IntersectGan: Learning domain intersection forgenerating images with multiple attributes. 27th ACMInternational Conference on Multimedia (MM'19), New York:Association for Computing Machinery (ACM). <ahref="http://dx.doi.org/10.1145/3343031.3350908">[MoreInformation]</a>

Xie, Y., Xia, Y., Zhang, J., Song, Y., Feng, D., Fulham, M.,Cai, W. (2019). Knowledge-based Collaborative Deep Learningfor Benign-Malignant Lung Nodule Classification on Chest CT.IEEE Transactions on Medical Imaging, 38(4), 991-1004. <ahref="http://dx.doi.org/10.1109/TMI.2018.2876510">[MoreInformation]</a>

Zeng, S., Gao, C., Wang, X., Jiang, L., Feng, D. (2019).Multiple kernel-based discriminant analysis via support vectorsfor dimension reduction. IEEE Access, 7(1), 35418-35430. <ahref="http://dx.doi.org/10.1109/ACCESS.2019.2904037">[More Information]</a>

Phan, H., Kumar, A., Feng, D., Fulham, M., Kim, J. (2019).Optimizing contextual feature learning for Mitosis detectionwith convolutional recurrent neural networks. 16th IEEEInternational Symposium on Biomedical Imaging (ISBI 2019),Venice: Institute of Electrical and Electronics Engineers(IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2019.8759224">[MoreInformation]</a>

Zeng, S., Duan, X., Li, H., Xiao, Z., Wang, Z., Feng, D. (2019).Regularized Fuzzy Discriminant Analysis for Hyperspectral

Image Classification with Noisy Labels. IEEE Access, 7,108125-108136. <ahref="http://dx.doi.org/10.1109/ACCESS.2019.2932972">[More Information]</a>

Sheng, B., Li, P., Mo, S., Li, H., Hou, X., Wu, Q., Qin, J., Fang,R., Feng, D. (2019). Retinal Vessel Segmentation UsingMinimum Spanning Superpixel Tree Detector. IEEETransactions on Cybernetics, 49(7), 2707-2719. <ahref="http://dx.doi.org/10.1109/TCYB.2018.2833963">[MoreInformation]</a>

Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. (2019). Robustvideo summarization using collaborative representation ofadjacent frames. Multimedia Tools and Applications, 78(20),28985-29005. <a href="http://dx.doi.org/10.1007/s11042-018-6053-y">[More Information]</a>

Wang, H., Zhang, D., Song, Y., Liu, S., Wang, Y., Feng, D.,Peng, H., Cai, W. (2019). Segmenting neuronal structure in 3doptical microscope images via knowledge distillation withteacher-student network. 16th IEEE International Symposiumon Biomedical Imaging (ISBI 2019), Venice: Institute ofElectrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2019.8759326">[MoreInformation]</a>

Wang, J., Wang, W., Wang, Z., Wang, L., Feng, D., Tan, T.(2019). Stacked memory network for video summarization.27th ACM International Conference on Multimedia (MM'19),New York: Association for Computing Machinery (ACM). <ahref="http://dx.doi.org/10.1145/3343031.3350992">[MoreInformation]</a>

Bi, L., Kim, J., Ahn, E., Kumar, A., Feng, D., Fulham, M.(2019). Step-wise integration of deep class-specific learning fordermoscopic image segmentation. Pattern Recognition, 85, 78-89. <ahref="http://dx.doi.org/10.1016/j.patcog.2018.08.001">[MoreInformation]</a>

Ahn, E., Kumar, A., Feng, D., Fulham, M., Kim, J. (2019).Unsupervised deep transfer feature learning for medical imageclassification. 16th IEEE International Symposium onBiomedical Imaging (ISBI 2019), Venice: Institute of Electricaland Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2019.8759275">[MoreInformation]</a>

Phan, H., Kumar, A., Feng, D., Fulham, M., Kim, J. (2019).Unsupervised Two-Path Neural Network for Cell EventDetection and Classification Using Spatiotemporal Patterns.IEEE Transactions on Medical Imaging, 38(6), 1477-1487. <ahref="http://dx.doi.org/10.1109/TMI.2018.2885572">[MoreInformation]</a>

Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. (2019). Videosummarization via nonlinear sparse dictionary selection. IEEEAccess, 7, 11763-11774. <ahref="http://dx.doi.org/10.1109/ACCESS.2019.2891834">[More Information]</a>

2018Liu, Q., Qian, Y., Li, P., Zhang, S., Liu, J., Sun, X., Fulham,M., Feng, D., Huang, G., Lu, W., et al (2018). 131I-labeledcopper sulfide-loaded microspheres to treat hepatic tumors viahepatic artery embolization. Theranostics, 8(3), 785-799. <ahref="http://dx.doi.org/10.7150/THNO.21491">[MoreInformation]</a>

Cui, H., Wang, X., Zhou, J., Gong, G., Eberl, S., Yin, Y.,Wang, L., Feng, D., Fulham, M. (2018). A topo-graph modelfor indistinct target boundary definition from anatomicalimages. Computer Methods and Programs in Biomedicine, 159,

211-222. <ahref="http://dx.doi.org/10.1016/j.cmpb.2018.03.018">[MoreInformation]</a>

Zeng, S., Wang, X., Cui, H., Zheng, C., Feng, D. (2018). AUnified Collaborative Multikernel Fuzzy Clustering forMultiview Data. IEEE Transactions on Fuzzy Systems, 26(3),1671-1687. <ahref="http://dx.doi.org/10.1109/TFUZZ.2017.2743679">[MoreInformation]</a>

Jia, H., Xia, Y., Song, Y., Cai, W., Fulham, M., Feng, D.(2018). Atlas registration and ensemble deep convolutionalneural network-based prostate segmentation using magneticresonance imaging. Neurocomputing, 275, 1358-1369. <ahref="http://dx.doi.org/10.1016/j.neucom.2017.09.084">[MoreInformation]</a>

Zhang, D., Liu, S., Song, Y., Feng, D., Peng, H., Cai, W.(2018). Automated 3D Soma Segmentation with MorphologicalSurface Evolution for Neuron Reconstruction.Neuroinformatics, 16(2), 153-166. <ahref="http://dx.doi.org/10.1007/s12021-017-9353-x">[MoreInformation]</a>

Huang, Z., Ding, C., Zhang, L., Lee, M., Song, Y., Selvadurai,H., Feng, D., Zhang, Y., Cai, W. (2018). Automated Analysis ofChest Radiographs for Cystic Fibrosis Scoring. 9thInternational Conference on Brain Inspired Cognitive Systems(BICS 2018), Cham: Springer. <ahref="http://dx.doi.org/10.1007/978-3-030-00563-4_22">[MoreInformation]</a>

Yuan, Y., Shi, Y., Su, X., Zou, X., Luo, Q., Feng, D., Cai, W.,Han, Z. (2018). Cancer type prediction based on copy numberaberration and chromatin 3D structure with convolutionalneural networks. BMC Genomics, 19(Suppl 6), 565. <ahref="http://dx.doi.org/10.1186/s12864-018-4919-z">[MoreInformation]</a>

Zhang, J., Xia, Y., Xie, Y., Fulham, M., Feng, D. (2018).Classification of Medical Images in the Biomedical Literatureby Jointly Using Deep and Handcrafted Visual Features. IEEEJournal of Biomedical and Health Informatics, 22(5), 1521-1530. <ahref="http://dx.doi.org/10.1109/JBHI.2017.2775662">[MoreInformation]</a>

Wang, X., Cui, H., Zheng, C., Zeng, S., Tang, W., Gong, P.,Feng, D. (2018). Collaborative learning based feature adaptionmodel with applications on MRI prostate boundary delineation.15th IEEE International Symposium on Biomedical Imaging(ISBI 2018), Washington, DC: Institute of Electrical andElectronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2018.8363695">[MoreInformation]</a>

Wang, X., Cui, H., Gong, G., Fu, Z., Zhou, J., Gu, J., Yin, Y.,Feng, D. (2018). Computational delineation and quantitativeheterogeneity analysis of lung tumor on 18F-FDG PET forradiation dose-escalation. Scientific Reports, 8(1), 1-9. <ahref="http://dx.doi.org/10.1038/s41598-018-28818-8">[MoreInformation]</a>

Masood, A., Sheng, B., Li, P., Hou, X., Wei, X., Qin, J., Feng,D. (2018). Computer-Assisted Decision Support System inPulmonary Cancer Detection and Stage Classification on CTImages. Journal of Biomedical Informatics, 79, 117-128. <ahref="http://dx.doi.org/10.1016/j.jbi.2018.01.005">[MoreInformation]</a>

Chi, Y., Bi, L., Kim, J., Feng, D., Kumar, A. (2018). ControlledSynthesis of Dermoscopic Images via a New Color LabeledGenerative Style Transfer Network to Enhance MelanomaSegmentation. 40th Annual International Conference of the

IEEE Engineering in Medicine and Biology Society (EMBC2018), Honolulu, Hawaii: Institute of Electrical and ElectronicsEngineers (IEEE). <ahref="http://dx.doi.org/10.1109/EMBC.2018.8512842">[MoreInformation]</a>

Lu, S., Xia, Y., Cai, W., Feng, D., Fulham, M. (2018). Cross-cohort dementia identification using transfer learning with FDG-PET imaging. 15th IEEE International Symposium onBiomedical Imaging (ISBI 2018), Washington, DC: Institute ofElectrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2018.8363869">[MoreInformation]</a>

Yuan, Y., Li, C., Kim, J., Cai, W., Feng, D. (2018). Dense andSparse Labeling with Multi-Dimensional Features for SaliencyDetection. IEEE Transactions on Circuits and Systems forVideo Technology, 28(5), 1130-1143. <ahref="http://dx.doi.org/10.1109/TCSVT.2016.2646720">[MoreInformation]</a>

Yuan, Y., Li, C., Kim, J., Cai, W., Feng, D. (2018). Dense andSparse Labeling with Multidimensional Features for SaliencyDetection. IEEE Transactions on Circuits and Systems forVideo Technology, 28(5), 1130-1143. <ahref="http://dx.doi.org/10.1109/TCSVT.2016.2646720">[MoreInformation]</a>

Liu, D., Zhang, D., Liu, S., Song, Y., Jia, H., Feng, D., Xia, Y.,Cai, W. (2018). Densely connected large kernel convolutionalnetwork for semantic membrane segmentation in microscopyimages. 2018 25th IEEE International Conference on ImageProcessing (ICIP 2018), Piscataway: Institute of Electrical andElectronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ICIP.2018.8451775">[MoreInformation]</a>

Bi, L., Feng, D., Kim, J. (2018). Dual-Path AdversarialLearning for Fully Convolutional Network (FCN)-BasedMedical Image Segmentation. The Visual Computer, 34(6-8),1043-1052. <a href="http://dx.doi.org/10.1007/s00371-018-1519-5">[More Information]</a>

Zhou, J., Arshad, S., Wang, X., Li, Z., Feng, D., Chen, F.(2018). End-User Development for Interactive Data Analytics:Uncertainty, Correlation and User Confidence. IEEETransactions on Affective Computing, 9(3), 383-395. <ahref="http://dx.doi.org/10.1109/TAFFC.2017.2723402">[MoreInformation]</a>

Zhang, L., Wang, Z., Yao, T., Staoh, S., Mei, T., Feng, D.(2018). Exploiting spatial-temporal context for trajectory basedaction video retrieval. Multimedia Tools and Applications,77(2), 2057-2081. <a href="http://dx.doi.org/10.1007/s11042-017-4353-2">[More Information]</a>

Jung, Y., Kim, J., Kumar, A., Feng, D., Fulham, M. (2018).Feature of Interest-Based Direct Volume Rendering UsingContextual Saliency-Driven Ray Profile Analysis. ComputerGraphics Forum, 37(6), 5-19. <ahref="http://dx.doi.org/10.1111/cgf.13308">[MoreInformation]</a>

Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. (2018). Forward-Backward Nonlinear Sparse Dictionary Selection Based VideoSummarization. IEEE 4th International Conference onMultimedia Big Data (BigMM 2018), Xian: Institute ofElectrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/BigMM.2018.8499074">[MoreInformation]</a>

Zeng, S., Wang, Z., Gao, C., Kang, Z., Feng, D. (2018).Hyperspectral Image Classification With Global-LocalDiscriminant Analysis and Spatial-Spectral Context. IEEEJournal of Selected Topics in Applied Earth Observations and

Remote Sensing, 11(12), 5005-5018. <ahref="http://dx.doi.org/10.1109/JSTARS.2018.2878336">[More Information]</a>

Cui, H., Wang, X., Bian, Y., Song, S., Feng, D. (2018).Ischemic stroke clinical outcome prediction based on imagesignature selection from multimodality data. 40th AnnualInternational Conference of the IEEE Engineering in Medicineand Biology Society (EMBC 2018), Honolulu, Hawaii: Instituteof Electrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/EMBC.2018.8512291">[MoreInformation]</a>

Xiao, C., Liu, Y., Feng, D., Wang, X. (2018). Key MarkerSelection for the Detection of Early Parkinsonï¿½ s Diseaseusing Importance-Driven Models. 40th Annual InternationalConference of the IEEE Engineering in Medicine and BiologySociety (EMBC 2018), Honolulu, Hawaii: Institute of Electricaland Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/EMBC.2018.8513564">[MoreInformation]</a>

Chen, X., Paranjpe, M., Wang, R., Feng, D., Zhou, Y. (2018).Modeling Spatial and Temporal Patterns of APOE epsilon-4Mediated Glucose Uptake in Mild Cognitive Impairment andNormal Controls. IFAC-PapersOnLine, 51(27), 396-401. <ahref="http://dx.doi.org/10.1016/j.ifacol.2019.02.002">[MoreInformation]</a>

Tareef, A., Song, Y., Huang, H., Feng, D., Chen, M., Wang, Y.,Cai, W. (2018). Multi-pass Fast Watershed for AccurateSegmentation of Overlapping Cervical Cells. IEEETransactions on Medical Imaging, 37(9), 2044-2059. <ahref="http://dx.doi.org/10.1109/TMI.2018.2815013">[MoreInformation]</a>

Zhang, D., Song, Y., Liu, S., Feng, D., Wang, Y., Cai, W.(2018). Nuclei instance segmentation with dual contour-enhanced adversarial network. 15th IEEE InternationalSymposium on Biomedical Imaging (ISBI 2018), Washington,DC: Institute of Electrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2018.8363604">[MoreInformation]</a>

Xia, T., Kumar, A., Feng, D., Kim, J. (2018). Patch-LevelTumor Classification in Digital Histopathology Images withDomain Adapted Deep Learning. 40th Annual InternationalConference of the IEEE Engineering in Medicine and BiologySociety (EMBC 2018), Honolulu, Hawaii: Institute of Electricaland Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/EMBC.2018.8512353">[MoreInformation]</a>

Yan, K., Zheng, C., Huang, Q., Kim, J., Feng, D., Wang, X.(2018). Prior Knowledge Driven Energy for Saliency Detection.15th International Conference on Control, Automation,Robotics and Vision (ICARCV 2018), Piscataway: Institute ofElectrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ICARCV.2018.8581261">[More Information]</a>

Liang, N., Wu, G., Kang, W., Wang, Z., Feng, D. (2018). Real-Time Long-Term Tracking with Prediction-Detection-Correction. IEEE Transactions on Multimedia, 20(9), 2289-2302. <ahref="http://dx.doi.org/10.1109/TMM.2018.2803518">[MoreInformation]</a>

Yuan, Y., Li, C., Kim, J., Cai, W., Feng, D. (2018). ReversionCorrection and Regularized Random Walks Ranking forSaliency Detection. IEEE Transactions on Image Processing,27(3), 1311-1322. <ahref="http://dx.doi.org/10.1109/TIP.2017.2762422">[MoreInformation]</a>

Gong, G., Guo, Y., Sun, X., Wang, X., Ying, Y., Feng, D.(2018). Study of an Oxygen Supply and Oxygen SaturationMonitoring System for Radiation Therapy Associated with theActive Breathing Coordinator. Scientific Reports, 8(1), 1-7. <ahref="http://dx.doi.org/10.1038/s41598-018-19576-8">[MoreInformation]</a>

Liu, Q., Qian, Y., Li, P., Zhang, S., Wang, Z., Liu, J., Sun, X.,Fulham, M., Feng, D., Chen, Z., et al (2018). The combinedtherapeutic effects of 131iodine-labeled multifunctional coppersulfide-loaded microspheres in treating breast cancer. ActaPharmaceutica Sinica B, 8(3), 371-380. <ahref="http://dx.doi.org/10.1016/j.apsb.2018.04.001">[MoreInformation]</a>

Zhang, R., Liu, Q., Cui, H., Wang, X., Song, S., Huang, G.,Feng, D. (2018). Thyroid classification via new multi-channelfeature association and learning from multi-modality MRIimages. 15th IEEE International Symposium on BiomedicalImaging (ISBI 2018), Washington, DC: Institute of Electricaland Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2018.8363573">[MoreInformation]</a>

Zheng, C., Wang, X., Zeng, S., Zhou, J., Yin, Y., Feng, D.,Fulham, M. (2018). Topology-guided deformable registrationwith local importance preservation for biomedical images.Physics in Medicine and Biology, 63(1), 1-15. <ahref="http://dx.doi.org/10.1088/1361-6560/aa9917">[MoreInformation]</a>

Ma, M., Mei, S., Wan, S., Wang, Z., Tsoi, A., Feng, D. (2018).Video Summarization via Weighted Neighborhood BasedRepresentation. 2018 25th IEEE International Conference onImage Processing (ICIP 2018), Piscataway: Institute ofElectrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/ICIP.2018.8451722">[MoreInformation]</a>

Li, X., Sheng, B., Li, P., Kim, J., Feng, D. (2018). VoxelizedFacial Reconstruction Using Deep Neural Network. ComputerGraphics International (CGI 2018), New York: Association forComputing Machinery (ACM). <ahref="http://dx.doi.org/10.1145/3208159.3208170">[MoreInformation]</a>

2017Bao, G., Zheng, C., Li, P., Cui, H., Wang, X., Song, S., Huang,G., Feng, D. (2017). 3D segmentation of residual thyroid tissueusing constrained region growing and voting strategies. TheInternational Conference on Digital Image Computing:Techniques and Applications (DICTA 2017), Piscataway, NJ:Institute of Electrical and Electronics Engineers (IEEE). <ahref="http://dx.doi.org/10.1109/DICTA.2017.8227384">[MoreInformation]</a>

Bi, L., Kim, J., Su, T., Fulham, M., Feng, D., Ning, G. (2017).Adrenal lesions detection on low-contrast CT images usingfully convolutional networks with multi-scale integration. 2017IEEE 14th International Symposium on Biomedical Imaging(ISBI 2017), Piscataway: Institute of Electrical and ElectronicsEngineers (IEEE). <ahref="http://dx.doi.org/10.1109/ISBI.2017.7950660">[MoreInformation]</a>

Kumar, A., Kim, J., Lyndon, D., Fulham, M., Feng, D. (2017).An Ensemble of Fine-Tuned Convolutional Neural Networksfor Medical Image Classification. IEEE Journal of Biomedicaland Health Informatics, 21(1), 31-40. <ahref="http://dx.doi.org/10.1109/JBHI.2016.2635663">[MoreInformation]</a>

Tareef, A., Song, Y., Feng, D., Chen, M., Cai, W. (2017).Automated Multi-stage Segmentation of White Blood Cells via

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Wang, X., Feng, D. (2004). Automatic Hybrid Registration For2-Dimensional CT Abdominal Images. Third InternationalConference on Image and Graphics, Los Alamitos, California,USA: Institute of Electrical and Electronics Engineers (IEEE).

Wang, Q., Feng, D., Chi, Z. (2004). B-Spline Over-CompleteWavelet Based Fractal Signature Analysis For Texture ImageRetrieval. International Symposium on Intelligent Multimedia,Video and Speech Processing: ISIMP 2004, Piscataway NJ:

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Wang, Z., Feng, D., Chi, Z. (2004). Comparison of ImagePartition Methods for Adaptive Image Categorization Based onStructural Image Representation. 8th International Conferenceon Control, Automation, Robotics and Vision ICARCV 2004,United States: Institute of Electrical and Electronics Engineers(IEEE).

Wen, L., Eberl, S., Feng, D., Bai, J. (2004). Dynamic SPECTParameter Estimation with Post Reconstruction BootstrapMonte Carlo Technique. 34th annual scientific meeting.Australian and New Zealand Society of Nuclear Medicine.

Lun, D., Chan, T., Hsung, T., Feng, D., Chan, Y. (2004).Efficient Blind Image Restoration Using Discrete PeriodicRadon Transform. IEEE Transactions on Image Processing,13(2), 188-200. <ahref="http://dx.doi.org/10.1109/TIP.2004.823820">[MoreInformation]</a>

Feng, D., Wang, Q., Yue, S., Zhao, R. (2004). Erpen: A DspBased Portable Device For Offline Ocr And Bi-LinguisticTranslation. 2004 International Conference on EmbeddedSoftware and System (ICESS 2004), Beijing: Science Press.

Feng, D., Ting, Z., Zheng, T. (2004). Extracting OcclusionFrom Images Based On Texture-Synthesis Methods.International Symposium on Intelligent Multimedia, Video andSpeech Processing: ISIMP 2004, Piscataway NJ: Institute ofElectrical and Electronics Engineers (IEEE).

Yuan, Y., Feng, D., Zhong, Y. (2004). Fast Adaptive VariableFrame-rate Coding. 2004 IEEE 59th Vehicular TechnologyConference VTC2004-Spring, United States: Institute ofElectrical and Electronics Engineers (IEEE).

Yuan, Y., Feng, D., Zhong, Y. (2004). Fast Dynamic AdaptiveKeyframe Setting in Video Coding. SPIE Medical Imaging.SPIE - International Society for Optical Engineering.

Fu, H., Chi, Z., Feng, D. (2004). Feature Filtering In RelevanceFeedback Of Image Retrieval: Based On A StatisticalApproach. International Symposium on Intelligent Multimedia,Video and Speech Processing: ISIMP 2004, Piscataway NJ:Institute of Electrical and Electronics Engineers (IEEE).

Zhang, J., Feng, D., Zhang, Y., Zhao, R. (2004). Fragile DigitalImage Watermakring With Restoration Capability. JisuanjiXuebao, 27(3), 371-376.

Parker, B., Feng, D. (2004). Graph-Based Energy-MinimizationSegmentation and PCA Applied to Internal Carotid Extractionin Neurological PET. 2003 IEEE Nuclear Science Symposiumand Medical Imaging Conference. Institute of Electrical andElectronics Engineers (IEEE).

Wang, X., Feng, D. (2004). Hierarchical Elastic Registration OfHuman Brain Images Based On Wavelet Decomposition. 2004International Symposium on Intelligent Multimedia, Video andSpeech Processing (ISIMP 2004), Hong Kong: Institute ofElectrical and Electronics Engineers (IEEE).

Long, F., Peng, H., Feng, D. (2004). Image CategorizationBased on Clustering Spatial Frequency Maps. SPIE MedicalImaging. SPIE - International Society for Optical Engineering.

Fu, H., Chi, Z., Feng, D., Song, J. (2004). Machine LearningTechniques for Ontology-Based Leaf Classification. 8thInternational Conference on Control, Automation, Robotics andVision ICARCV 2004, United States: Institute of Electrical andElectronics Engineers (IEEE).

Feng, D. (2004). Molecular Imaging And Biomedical ProcessModeling. Second Conference on Asia-Pacific Bioinformatics(APBC 2004), Australia: Australian Computer Society.

Xia, Y., Feng, D., Zhao, R. (2004). Multifractal Estimation ForRemote Sensing Image Segmentation. ICSP''04,Piscataway/Beijing: Institute of Electrical and ElectronicsEngineers (IEEE).

Lim, Y., Feng, D. (2004). Multiple Block Based AuthenticationWatermarking For Distribution Of Medical Images.International Symposium on Intelligent Multimedia, Video andSpeech Processing: ISIMP 2004, Piscataway NJ: Institute ofElectrical and Electronics Engineers (IEEE).

Chen, S., Feng, D. (2004). Noninvasive Quantification Of TheDifferential Portal And Arterial Contribution To The LiverBlood Supply From Pet Measurements Using The C-11-AcetateKinetic Model. IEEE Transactions on Biomedical Engineering,51(9), 1579-1585. <ahref="http://dx.doi.org/10.1109/TBME.2004.828032">[MoreInformation]</a>

Yuan, Y., Feng, D., Zhong, Y. (2004). Offset-AdaptiveQuantization in DCT-based Low-Bitrate Video Coding. 2004IEEE 59th Vehicular Technology Conference VTC2004-Spring,United States: Institute of Electrical and Electronics Engineers(IEEE).

Xia, Y., Feng, D., Rongchun, Z. (2004). Optimal Selection OfImage Segmentation Algorithms Based On PerformancePrediction. Pan-Sydney Area Workshop on Visual InformationProcessing (VIP2003), Australia: Australian Computer Society.

Kim, J., Cai, W., Feng, D., Fulton, R. (2004). Smoothing OfReconstructed Dynamic Pet Images Using Fuzzy TemporalKinetic Filtering. The Journal of Nuclear Medicine, 45, 469P.

Chen, Z., Parker, B., Feng, D. (2004). Temporal Compressionof Dynamic Positron Emission Tomography via PrincipalComponent Analysis in the Sinograms Domain. IEEE MedicalImaging Conference, 2003. Institute of Electrical andElectronics Engineers (IEEE).

Chen, Z., Parker, B., Feng, D., Fulton, R. (2004). TemporalProcessing Of Dynamic Positron Emission Tomography ViaPrincipal Component Analysis In The Sinogram Domain. IEEETransactions on Nuclear Science, 51(5), 2612-2619. <ahref="http://dx.doi.org/10.1109/TNS.2004.834816">[MoreInformation]</a>

Xia, Y., Feng, D., Rongchun, Z. (2004). Texture SegmentationUsing Local Morphological Multifractal Exponents.International Symposium on Intelligent Multimedia, Video andSpeech Processing: ISIMP 2004, Piscataway NJ: Institute ofElectrical and Electronics Engineers (IEEE).

Chen, S., Ho, C., Feng, D., Chi, Z. (2004). Tracer KineticModeling Of C-11-Acetate Applied In The Liver With PositronEmission Tomography. IEEE Transactions on MedicalImaging, 23(4), 426-432. <ahref="http://dx.doi.org/10.1109/TMI.2004.824229">[MoreInformation]</a>

Yuan, Y., Feng, D., Zhong, Y. (2004). Trade-off betweenPicture Resolution and Quantization Precision in Video Codingfor Embedded Systems. Conference on Visual Communicationsand Image Processing 2004 (VCIP 2004). SPIE - InternationalSociety for Optical Engineering.

Wu, H., Kim, J., Cai, W., Feng, D. (2004). Volume Of Interest(Voi) Feature Representation And Retrieval Of Multi-Dimensional Positron Emission Tomography Images.International Symposium on Intelligent Multimedia, Video andSpeech Processing: ISIMP 2004, Piscataway NJ: Institute ofElectrical and Electronics Engineers (IEEE).

Lim, Y., Cai, W., Feng, D., Fulton, R. (2004). Web-basedFunctional Image Display with Embedded Patient Informationfor Security and Management. The Journal of Nuclear

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2003Chen, S., Wong, L., Feng, D. (2003). A New AutomaticDetection Approach For Hepatocellular Carcinoma Using 11C-Acetate Positron Emission Tomography. 2003 IEEEInternational Conference on Image Processing ICIP 2003,United States: Institute of Electrical and Electronics Engineers(IEEE).

Feng, D., Yuan, Y., Zhong, Y. (2003). A novel method ofkeyframe setting in video coding: fast adaptive dynamickeyframe selecting. 2003 International Conference onComputer Networks and Mobile Computing (ICCNMC '03),Los Alamitos: Institute of Electrical and Electronics Engineers(IEEE).

Kim, J., Feng, D., Cai, W. (2003). A quantitative evaluationmeasure for 3D biomedical image segmentation. Modelling andControl in Biomedical Systems 2003 (Including BiologicalSystems), UK: Pergamon.

Wen, L., Eberl, S., Cai, W., Feng, D., Bai, J. (2003). A ReliableVoxel-by-Voxel Parameter Estimation for Dynamic SPECT.2003 World Congress on Medical Physics and BiomedicalEngineering.

Wen, L., Eberl, S., Feng, D., Bai, J. (2003). An improvedoptimal image sampling schedule for multiple ROIS in dynamicspect. Modelling and Control in Biomedical Systems 2003(Including Biological Systems), UK: Pergamon.

Kim, J., Feng, D., Cai, W., Eberl, S. (2003). Automatic 3DTemporal Kinetics Segmentation of Dynamic EmissionTomography Image Using Adaptive Region Growing ClusterAnalysis. 2002 IEEE Nuclear Science Symposium and MedicalImaging Conference, Piscataway, NJ, USA: Institute ofElectrical and Electronics Engineers (IEEE).

Chen, Z., Feng, D., Cai, W. (2003). Automatic detection of PETlesions. Visualisation 2002. Academic Press.

Wong, K., Feng, D. (2003). Clinical evaluation of fractal codingtechnique for dynamic PET data compression. Journal ofCerebral Blood Flow and Metabolism, 23 (suppl.), 626.

Chen, Z., Feng, D. (2003). Compression of dynamic PET basedon principal component analysis and JPEC 2000 in sinogramdomain. Digital Image Computing: Techniques andApplications, Sydney: CSIRO Publishing.

Chen, Z., Feng, D., Cai, W. (2003). Computer-aided lesiondetection for brain PET images. Modelling and Control inBiomedical Systems 2003 (Including Biological Systems), UK:Pergamon.

Wang, Z., Chi, Z., Feng, D., AH CHUNG, T. (2003). Content-Based Image Retrieval With Relevance Feedback UsingAdaptive Processing of Tree-Structure Image Representation.International Journal of Image and Graphics, 3(1), 119-143.

Feng, D., Changsheng, X., Qi, T. (2003). Content-basedretrieval for digital audio and music. In Feng, Siu, Zhang(Eds.), Multimedia Information Retrieval and Management,(pp. 95-120). Berlin: Springer.

Cai, W., Feng, D., Fulton, R. (2003). Content-based retrievalfor medical data. In Feng, Siu, Zhang (Eds.), MultimediaInformation Retrieval and Management, (pp. 366-383). Berlin:Springer.

Feng, D. (2003). Editorial. International Journal of Image andGraphics, 3(1), 1-2.

Feng, D., Hongtao, S., Rong-chun, Z., Wang, X. (2003). Facerecognition method using mututal information and hybridfeature. 5th International Conference on Computational

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Feng, D., Hongtao, S., Rong-chun, Z. (2003). Face recognitionusing multi-feature and radial basis function network.Visualisation 2002. Academic Press.

Hoang, D., Yu, Q., Li, M., Feng, D. (2003). Fair intelligentcongestion control resource discovery protocol on TCP basednetwork. In McDonald (Eds.), Converged Networking: Dataand Real-time Communications over IP, (pp. 145-160). TheNetherlands: Springer.

Long, F., Zhang, H., Feng, D. (2003). Fundamentals of content-based image retrieval. In Feng, Siu, Zhang (Eds.), MultimediaInformation Retrieval and Management, (pp. 95-120). Berlin:Springer.

Wen, L., Eberl, S., Cai, W., Feng, D., Chen, K., Bai, J. (2003).Generalized Linear Least Squares Algorithms for OptimalImage Sampling Schedule in Dynamic SPECT. Journal ofNuclear Medicine Technology.

Chen, S., Ho, C., Feng, D. (2003). Identifiability Analysis of theDifferential Portal and Arterial Contribution to the VascularInput Function of 11C-acetate Kinetic Model in Liver. TheJournal of Nuclear Medicine, 44 (Suppl.), 252-253.

Parker, B., Feng, D. (2003). Large Three-Dimensional Data SetSegmentation Using a Graph-Theoretic Energy-MinimizationApproach. SPIE Medical Imaging. SPIE - International Societyfor Optical Engineering.

Wang, Z., Chi, Z., Feng, D. (2003). Leaf image retrieval usingcombined shape feature sets with fuzzy integral. ChineseJournal Of Electronics, 11, 572-578.

Feng, D., Carson, E. (2003). Modelling and Control inBiomedical Systems. IFAC 2003 Symposium, Melbourne:Elsevier.

Feng, D., Siu, W., Zhang, H. (2003). Multimedia InformationRetrieval and Management - Technological Fundamentals andApplications. Germany: Springer.

Wang, X., Feng, D., Hong, H., Chi, Z. (2003). Novel automaticregistration for medical image. Modelling and Control inBiomedical Systems 2003 (Including Biological Systems), UK:Pergamon.

Wang, X., Feng, D., Hong, H. (2003). Novel elastic registrationfor 2-D medical and gel protein images. Bioinformatics 2003,Australia: Australian Computer Society.

Chan, C., Feng, D., Kim, J., Eberl, S. (2003). Online Interactive3D Region of Interest (ROI) Visualization of Positron EmissionTomography (PET) Data. World Congress on Medical Physicsand Biomedical Engineering incorporating the 21stInternational Conference on Medical & Biological Engineering& the 15th International Conference on Medical Physics, UK:Springer.

Chen, Z., Feng, D., Cai, W. (2003). Pathological lesiondetection in 3Ddynamic PET images using asymmetry. 12thInternational Conference on Image Analysis and Processing(ICIAP 2003), Los Alamitos: Institute of Electrical andElectronics Engineers (IEEE).

Feng, D., Kassiou, M., Fulham, M., Wong, K., Elberl, S.(2003). Quantification of 5-[123I]iodo-A-85380 in nonhumanprimates using spect: parameter identifiability and stabilitty.Modelling and Control in Biomedical Systems 2003 (IncludingBiological Systems), UK: Pergamon.

Ren, J., Astheimer, P., Feng, D. (2003). Real-time MovingObject Detection Under Complex Background. 3rd

International Symposium on Image and Signal Processing andAnalysis ISPA 2003, Croatia: University of Zagreb - Faculty ofElectrical Engineering and Computing.

Wang, Z., Feng, D., Chi, Z. (2003). Region-Based Binary TreeRepresentation for Image Classification. 2003 InternationalConference on Neural Networks & Signal Processing, UnitedStates: Institute of Electrical and Electronics Engineers (IEEE).

Wang, Z., Chi, Z., Feng, D. (2003). Shape Based Leaf ImageRetrieval. IEE Proceedings-Vision Image and SignalProcessing, 150(1), 34-43. <ahref="http://dx.doi.org/10.1049/ip-vis:20030160">[MoreInformation]</a>

Yuan, Y., Feng, D., Zhong, Y. (2003). The causation andsolution of ringing effect in DCT-based video coding.International Journal of Computational Intelligence, 1(2), 336-341.

Yuan, Y., Feng, D., Zhong, Y. (2003). Three fast methods foradaptive key-frame setting and dynamic frame-rate adjusting invideo coding. International Conference on Signal Processing(ICSP 2003), Canakkale, Turkey: World Academy of Science,Engineering and Technology (W A S E T).

Kim, J., Feng, D., Cai, W., Eberl, S. (2003). Three-dimensionalmulti-plane segmentation of dynamic PET data by optimizedseeded region growing approach. Journal of Cerebral BloodFlow and Metabolism, 23, 617.

Parker, B., Feng, D. (2003). Variational segmentation and PCAapplied to dynamic PET analysis. Visualisation 2002. AcademicPress.

Feng, D., Chan, K., Kim, J., Lim, Y. (2003). Web-basedElectronic Patient Record System for Biomedical Data Basedon User Analysis. World Congress on Medical Physics andBiomedical Engineering incorporating the 21st InternationalConference on Medical & Biological Engineering & the 15thInternational Conference on Medical Physics, UK: Springer.

Chan, Y., Lim, Y., Feng, D. (2003). Web-based MultimediaCollaboration System for Medical Images Analysis andDiagnosis. Pan-Sydney Workshop on Visual InformationProcessing, Sydney: Australian Computer Society.

2002Yu, Q., Hoang, D., Feng, D. (2002). A Comparative Study onthe Coherent Approaches to Cooperation Between TCP andATM Congestion Control Algorithms. 11th IEEE InternationalConference on Computer Communications and Networks(ICCCN'02). Institute of Electrical and Electronics Engineers(IEEE).

Wang, Q., Wang, Q., Feng, D., Zhao, R., Chi, Z. (2002). A fast2D entropic thresholding method by wavelet decomposition.2002 International Conference on Image Processing,Piscataway, New Jersey USA: Institute of Electrical andElectronics Engineers (IEEE).

Ren, J., Feng, D., Zhao, R. (2002). A new effective method oncritical point detection of planar curves. Acta Electronica Sinica(alternative title of journal Dianzi Xuebao), 30(5), 640-642.

Cai, W., Feng, D., Fulton, R. (2002). A Rapid and ReliableAlgorithm for the Construction of Parametric Images inDynamic PET FDG Studies. The Journal of Nuclear Medicine,43(212), 869P.

Kim, J., Feng, D., Cai, W., Eberl, S. (2002). A solution to thedistribution and standardisation of multimedia medical data in e-health. Visualisation 2001 - The pan-Sydney area workshop onvisual information processing, Australia: ACS Inc.

Zheng, J., Feng, D., Zhang, Y., Siu, W., Zhao, R. (2002). An

Algorithm for Video Monitoring Under a Slow MovingBackground. 2002 International Conference on MachineLearning and Cybernetics, USA: Institute of Electrical andElectronics Engineers (IEEE).

Zheng, J., Zhang, Y., Feng, D., Zhao, R. (2002). Color ImageWatermarking Based on DCT-Domains of Color Channels.17th IEEE Region 10 International Conference on Computers,Communications, Control and Power Engineering. Institute ofElectrical and Electronics Engineers (IEEE).

Kim, J., Feng, D., Cai, W., Eberl, S. (2002). Conent Access andDistribution of Multimedia Medial Data in E-Health. 2002IEEE International Conference on Multimedia and Expo,Tampere, Finland: Institute of Electrical and ElectronicsEngineers (IEEE).

Feng, D., Cai, W., Fulton, R. (2002). Dynamic image datacompression in spatial and temporal domains: clinical issuesand assessment. IEEE Transactions on Information Technologyin Biomedicine, 6(4), 262-268. <ahref="http://dx.doi.org/10.1109/TITB.2002.806093">[MoreInformation]</a>

Feng, D., Cai, W., Fulton, R. (2002). Dynamic Image DataCompression in the Spatial and Temporal Domains: ClinicalIssues Assessments. IEEE Transactions on InformationTechnology in Biomedicine, 6(4), 262-268. <ahref="http://dx.doi.org/10.1109/TITB.2002.806093">[MoreInformation]</a>

Lu, C., Chi, Z., Chen, D., Zhang, D., Feng, D. (2002). Edgedetection from edge knots in live plant image processing.Second International Conference on Image and Graphics, Usa:SPIE - International Society for Optical Engineering.

Wen, L., Eberl, S., Wong, K., Feng, D., Bai, J. (2002). Effect ofReconstruction and Filtering on Dynamic SPECT KineticParameter Bias and Reliability. The Journal of NuclearMedicine, 43 (suppl.)(831), 202.

Wong, K., Meikle, S., Feng, D., Fulham, M. (2002). Estimationof Input Function and Kinetic Parameters Using simulatedAnnealing: Application in a Flow Model. IEEE Transactions onNuclear Science, 49(3 - part 1), 707-713. <ahref="http://dx.doi.org/10.1109/TNS.2002.1039552">[MoreInformation]</a>

Yu, Q., Li, M., Hoang, D., Feng, D. (2002). Fair IntelligentFeedback Mechanism on TCP Based Network. 2002International Conference on Internet Computing.

Wang, Z., Chi, Z., Feng, D. (2002). Fuzzy Integral for LeafImage Retrieval. 2002 IEEE International Conference on FuzzySystems (FUZZ-IEEE'02). Institute of Electrical and ElectronicsEngineers (IEEE).

Cai, W., Feng, D., Fulton, R., Siu, W. (2002). Generalizedlinear least squares algorithms for modeling glucosemetabolism in the human brain with corrections for vasculareffects. Computer Methods and Programs in Biomedicine,68(1), 1-14. <a href="http://dx.doi.org/10.1016/S0169-2607(01)00160-2">[More Information]</a>

Wong, K., Feng, D., Fulham, M., Meikle, S. (2002). Improvedlesion localization in PET using cluster analysis. In M Senda,Y Kimura, P Herscovitch (Eds.), Brain Imaging Using PET,(pp. 163-170). United Kingdom: Academic Press.

Wong, K., Meikle, S., Fulham, M., Feng, D. (2002). Inputrecovery from noisy output measurements: A Monte Carlomethod. 2001 IEEE Nuclear Science Symposium and MedicalImaging Conference. Institute of Electrical and ElectronicsEngineers (IEEE).

Kim, J., Feng, D., Cai, W., Eberl, S. (2002). IntegratedMultimedia Medical Data Agent in E-Health. The Pan-Sydney

Area workshop on Visual Information Processing, Australia:Association for Computing Machinery (ACM).

Chen, S., Ho, C., Feng, D., Chi, Z. (2002). Kinetic Modelling of11C-acetate in Hepatocellular Carcinoma. The Journal ofNuclear Medicine, 43 (suppl.), 205.

Wong, K., Eberl, S., Feng, D., Fulham, M. (2002). Kineticmodelling of nicotinic acetylcholine receptors with 5-[123I]iodo-A-85380 and dynamic single-photon emissioncomputed tomography. International Federation of AutomaticControl (IFAC) World Congress. Icpof.

Feng, D. (2002). Medical Images and Multimedia DataManagement and Processing. Second International Conferenceon Image and Graphics, Usa: SPIE - International Society forOptical Engineering.

Wong, K., Meikle, S., Feng, D., Fulham, M. (2002). NumericalDeconvolution by a Monte Carlo Approach with ApplicationDynamic Cardiac Perfusion Tc-99m SPECT. Visualisation2001 - The pan-Sydney area workshop on visual informationprocessing, Australia: ACS Inc.

Wang, Q., Xue, J., Zhao, R., Chi, Z., Feng, D. (2002). On theMaximization of the Crispness of 2D Grayscale Histogram forImage Thresholding. 6th International Conference on SignalProcessing (ICSP2002). Elsevier Science.

Xu, C., Lim, Y., Feng, D. (2002). Recovering ModifiedWatermarked Audio Based on Dynamic Time-WarpingTechnique. The Sixth Digital Image Computing Techniques andApplications, Australia: Australian Pattern Recognition Society.

Xu, C., Feng, D. (2002). Robust and eficient content-baseddigital audio watermarking. Multimedia Systems, 8(5), 353-368.<a href="http://dx.doi.org/10.1007/s005300200055">[MoreInformation]</a>

Wong, K., Feng, D., Meikle, S., Fulham, M. (2002).Segmentation of dynamic PET images using cluster analysis.IEEE Transactions on Nuclear Science, 49(1 - issue 1), 200-207. <ahref="http://dx.doi.org/10.1109/TNS.2002.998752">[MoreInformation]</a>

Wang, Z., Chi, Z., Feng, D. (2002). Structural Representationand BPTS Learning for Shape Classification. 9th InternationalConference on Neural Information Processing (ICONIP''02)4th Asia Pacific Conference on Simulated Evolution andLearning (SEAL''02) 1st International Conference on FuzzySystems and Knowledge Discovery (FSKD''02), Singapore:School of Electrical and Electronic Engineering, NanyangTechnological University, Singapore.

Zheng, J., Feng, D., Siu, W., Zhang, Y., Wang, X., Zhao, R.(2002). The Accurate Extraction & Tracking of Moving Objectsfor Video Surveillance. 2002 International Conference onMachine Learning and Cybernetics, USA: Institute of Electricaland Electronics Engineers (IEEE).

Zheng, J., Feng, D., Siu, W., Zhang, Y., Wang, X., Zhao, R.(2002). The Accurate Extraction and Tracking of MovingObjects for Video Surveillance. 2002 International Conferenceon Machine Learning and Cybernetics, USA: Institute ofElectrical and Electronics Engineers (IEEE).

Wang, X., Feng, D. (2002). Two-step Non-linear MedicalImage Registration Based on Image Intensity. SecondInternational Conference on Image and Graphics, Usa: SPIE -International Society for Optical Engineering. <ahref="http://dx.doi.org/10.1109/VETECS.2012.6239979">[More Information]</a>

Lim, Y., Xu, C., Feng, D. (2002). Web Based ImageAuthentication Using Invisible. The Pan-Sydney Area workshopon Visual Information Processing, Australia: Association for

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2001Cai, W., Feng, D., Fulton, R. (2001). A 3D Image SmoothingMethod for Dynamic Functional Imaging. Pan-SydneyWorkshop on Visual Information Processing, Sydney:Australian Computer Society.

Li, X., Feng, D., Wong, K. (2001). A general algorithm foroptimal sampling schedule design in nuclear medicine imaging.Computer Methods and Programs in Biomedicine, 65(1), 45-59.

Cai, W., Feng, D., Fulton, R. (2001). A Knowledge-basedImage Smoothing Technique for Dynamic PET Studies. 2000IEEE Medical Imaging Conference. Institute of Electrical andElectronics Engineers (IEEE).

Yu, X., Hoang, D., Feng, D. (2001). A Novel QoS FeedbackControl for Supporting Compressed Video.

Yu, X., Hoang, D., Feng, D. (2001). A QoS Control Protocolfor Rate-adaptive Video. 12th IEEE International Conferenceon Networks (ICON 2004) - Unity in Diversity, Piscataway, NJ,USA: Institute of Electrical and Electronics Engineers (IEEE).

Feng, D., Cai, W., Fulton, R. (2001). A Reliable UnbiasedParametric Imaging Algorithm for Noisy Clinical Brain PETData. In Gjedde, A; Hansen, S; Knudsen, G; Paulson,OGjedde, A; Hansen, S; Knudsen, G; P (Eds.), PhysiologicalImaging of the Brain with PET, (pp. 147-151). United States:Academic Press.

Xu, C., Feng, D., Zhu,, Y. (2001). A Robust and FastWatermarking Scheme for Compressed Audio. 2001 IEEEConference on Multimedia and Expo, Australia: UNSWAustralian Defence Force Academy.

Yu, X., Hoang, D., Feng, D. (2001). A Simulation Study ofUsing ER Feedback Control to Transport Compressed Videoover ATM Networks. Pan-Sydney Workshop on VisualInformation Processing, Sydney: Australian Computer Society.

Wang, H., Feng, D., Huang,, S. (2001). A Statistical Method forthe Assesment of 3-D Medical Image Registration. Pan-SydneyWorkshop on Visual Information Processing, Sydney:Australian Computer Society.

Chen, Z., Yu, X., Feng, D. (2001). A telemedicine system overthe internet. Pan-Sydney Workshop on Visual InformationProcessing, Sydney: Australian Computer Society.

Lim, Y., Feng, D., Cai, W. (2001). A Web-based CollaborativeSystem for Medical Image Analysis and Diagnosis. Pan-SydneyWorkshop on Visual Information Processing, Sydney:Australian Computer Society.

Kim, J., Feng, D., Cai, W. (2001). A Web-based Medical ImageData Processing and Management System. Pan-SydneyWorkshop on Visual Information Processing, Sydney:Australian Computer Society.

Wang, Z., Chi, Z., Feng, D., Cho, S. (2001). AdaptiveProcessing of Tree-Structure Image Representation. In Shum,H-Y, Liao, M and Chang, S-F (Eds.), Advances in MultimediaInformation Processing-PCM 2001: Second IEEE Pacific RimConference on Multimedia, Beijing, China, October 24-26,2001 Proceedings, (pp. 989-995). Germany: Springer.

Yu, X., Hoang, D., Feng, D. (2001). An Allocation Algorithmfor Transporting Compressed Video. 2001 Internationalsymposium on Intelligent Multimedia, Video and SpeechProcessing, Australia: UNSW Australian Defence ForceAcademy.

Wang, C., Feng, D., Jin, J. (2001). Cataloging and SearchEngine for Video Library. Pan-Sydney Workshop on VisualInformation Processing, Sydney: Australian Computer Society.

Xu, C., Feng, D., Zhu,, Y. (2001). Content Protection andUsage Control for Digital Music. First InternationalConference on WEB Delivering of Music. Ads & Adea.

Xu, C., Feng, D., Zhu,, Y. (2001). Content-Based Retrieval forDigital Audio and Music. The Fifth IASTED InternationalCOnference Internet and Multimedia Systems and Applications.UNSW Australian Defence Force Academy.

Feng, D. (2001). Content-based retrieval of multimediainformation. International Journal of Image and Graphics, 1No 1, 83-91.

Xu, C., Feng, D., Zhu,, Y. (2001). Copyright protection forWAV-Table synthesis audio using digital watermarking. InShum, H-Y, Liao, M and Chang, S-F (Eds.), Advances inMultimedia Information Processing-PCM 2001: Second IEEEPacific Rim Conference on Multimedia, Beijing, China,October 24-26, 2001 Proceedings, (pp. 772-779). Germany:Springer.

Xu, C., Feng, D., Zhu,, Y. (2001). Digital Audio WatermarkingBased-on Multiple-bit Hopping and Human Auditory System.2001 Multimedia Conference, USA: UNSW Australian DefenceForce Academy.

Lun, D., Chan, T., Feng, D. (2001). Efficient Blind BlurIdentification Using Discrete Periodic Radon Transform. 2001International symposium on Intelligent Multimedia, Video andSpeech Processing, Australia: UNSW Australian Defence ForceAcademy.

Lun, D., Chan, T., Hsung, T., Feng, D. (2001). Efficient BlindImage Restoration Based on 1-D Generalized Cross Validation. In Shum, H-Y, Liao, M and Chang, S-F (Eds.), Advances inMultimedia Information Processing-PCM 2001: Second IEEEPacific Rim Conference on Multimedia, Beijing, China,October 24-26, 2001 Proceedings, (pp. 434-441). Germany:Springer.

Wang, X., Feng, D., Jin, J. (2001). Elastic Medical ImageRegistration Based on Image Intensity. Pan-Sydney Workshopon Visual Information Processing, Sydney: AustralianComputer Society.

Long, F., Feng, D., Peng, H., Siu, W. (2001). ExtractingSemantic Video Object. IEEE Computer Graphics andApplications, 21(1), 48-55.

Feng, D., Cai, W., Fulton, R. (2001). FIPS: A Functional ImageProcessing System for PET Dynamic Studies. In Gjedde, A;Hansen, S; Knudsen, G; Paulson, OGjedde, A; Hansen, S;Knudsen, G; P (Eds.), Physiological Imaging of the Brain withPET, (pp. 35-38). United States: Academic Press.

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001). Functionalsegmentation of dynamic emission tomographic images. Pan-Sydney Workshop on Visual Information Processing, Sydney:Australian Computer Society.

Lun, D., Chan, T., Feng, D. (2001). Improved Non-invasiveQuantification of Physiological Processes with Dynamic PETUsing Blind System Identification. 2001 Internationalsymposium on Intelligent Multimedia, Video and SpeechProcessing, Australia: UNSW Australian Defence ForceAcademy.

Lim, Y., Xu, C., Fulton, R., Feng, D. (2001). InteractiveInvisible Captioning for Medical Images Using DigitalWatermarking. Image and Vision Computing New Zealand2001, Australia: UNSW Australian Defence Force Academy.

Wang, Q., Chi, Z., Feng, D., Zhao, R. (2001). Match BetweenNormalization Schemes and Feature Sets for HandwrittenChinese Character Recognition. 6th International Conferenceon Document Analysis and Recognition (ICDAR2001).

Feng, D., Cai, W., Kim, J., Lim, Y. (2001). Medical Image DataRetrieval and Manipulation through the WWW. 2001International symposium on Intelligent Multimedia, Video andSpeech Processing, Australia: UNSW Australian Defence ForceAcademy.

Feng, D., Changsheng, X., Zhu, Y. (2001). Music CopyrightProtection and Content Authentication Using DigitalWatermarking. IEEE International Conference on Information,Communications and Signal Processing. Institute of Electricaland Electronics Engineers (IEEE).

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001). Non-invasive Estimation of Cerebral Metabolic Rate of GlucoseUsing Simultaneous Estimation and Cluster Analysis: AFeasibility Study. Pan-Sydney Workshop on Visual InformationProcessing, Sydney: Australian Computer Society.

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001). Non-invasive extraction of physiological parameters in quantitativePET studies using simultaneous estimation and cluster analysis.2000 IEEE Medical Imaging Conference. Institute of Electricaland Electronics Engineers (IEEE).

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001).Noninvasive Determination of the Input Function in PET by aMonte Carlo Approach and Cluster Analysis. The Journal ofNuclear Medicine, 42(suppl.), 183.

Wang, H., Feng, D., Huang, S. (2001). Objective Assessment of3-D Medical Image Registration Results Using StatisticalConfidence Intervals. 2000 IEEE Medical Imaging Conference.Institute of Electrical and Electronics Engineers (IEEE).

Wang, H., Feng, D., Yeh,, E., Huang,, S. (2001). Objectiveassessment of image registration results using statisticalconfidence intervals. IEEE Transactions on Nuclear Science, 48No 1, 106-110.

Yu, X., Hoang, D., Feng, D. (2001). PCR-Based Fair IntelligentBandwidth Allocation for Rate Adaptive Video Traffic.ISIMP2001, Australia: UNSW Australian Defence ForceAcademy.

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001).Segmentation of dynamic PET images using cluster analysis.2000 IEEE Medical Imaging Conference. Institute of Electricaland Electronics Engineers (IEEE).

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001).Simultaneous estimation of physiological parameters and theinput function - In vivo PET data. IEEE Transactions onInformation Technology in Biomedicine, 5 No 1, 67-76.

Hoang, D., Yu, X., Feng, D. (2001). Supporting CompressedVideo with Explicit Rate Fair Intelligent Congestion Control inATM network. 2nd International Conference onCommunications in Computing, USA: International Conferenceon Communications in Computing.

Wong, K., Feng, D., Meikle, S., Fulham, M. (2001). Validationof Noninvasive Quantification Technique for Neurologic FDG-PET Studies. In Gjedde, A; Hansen, S; Knudsen, G; Paulson,OGjedde, A; Hansen, S; Knudsen, G; P (Eds.), PhysiologicalImaging of the Brain with PET, (pp. 121-125). United States:Academic Press.

Cai, W., Feng, D., Fulton, R. (2001). Web-based digital medicalimages. IEEE Computer Graphics and Applications, 21 No 1,44-47.

Xu, C., Feng, D. (2001). Web-Based Protection and SecureDistribution for Digital Music. The Fifth IASTED InternationalCOnference Internet and Multimedia Systems and Applications.UNSW Australian Defence Force Academy.

2000Feng, D., Cai, W. (2000). Bounded Generalized Linear LeastSquare (B-GLLS) Algorithm for Parametric Imaging with PET.4th IFAC Biomedical Symposium on modelling & control inbiomedical systems, Austria: International Federation ofAutomatic Control (IFAC).

Cai, W., Feng, D., Fulton, R. (2000). Content-based retrieval ofdynamic PET functional images. IEEE Transactions onInformation Technology in Biomedicine, 4(2), 152-158. <ahref="http://dx.doi.org/10.1109/4233.845208">[MoreInformation]</a>

Feng, D., Cai, W. (2000). Vizualisation of BiomedicalProcesses: Local Quantitative Physiological Functions in LivingHuman Body. Computer Graphics International 2000(CGI'00), Washington DC: IEEE Computer SocietyWashington. <ahref="http://dx.doi.org/10.1109/CGI.2000.852348">[MoreInformation]</a>

Publications for David Dagan Feng - University of Sydney · Wang, X., Feng, D., Wang, L., et al...

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