Jiong Zhang
Professor Email: jiong.zhang(AT)ieee(DOT)org |
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• J. Zhang; Q. Xie; L. Mou; D. Zhang; D. Chen; C. Shan, Y. Zhao, R. Su, M. Guo.
[LINK] DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation.
IEEE Transactions on Medical Imaging, 2025, DOI: 10.1109/TMI.2025.3540886.,
• C. Lu, Z. Guo, D. Zhang, L. Mou, J. Yuan, S. Ma, D. Chen, Y. Zhao, K. Xia*, J. Zhang*. [LINK]RSAPower: Random Style Augmentation Driven Structure Perception Network for Generalized Retinal OCT Fluid Segmentation. IEEE Transactions on Medical Imaging, 2025, DOI: 10.1109/TMI.2025.3531496.
• H. Mao, Y. Ma, D. Zhang, Y. Meng, S. Ma, Y. Qiao, H. Fu, C. Shan, D. Chen, Y. Zhao, J. Zhang*. [LINK]MR2-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance. IEEE Journal of Biomedical and Health Informatics, 29(1), 482-494, 2025, doi: 10.1109/JBHI.2024.3467256.
• J. Zhang, C. Lu, R. Song, Y. Zheng, H. Hao, Y. Meng, Y. Zhao. [LINK]Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation. IEEE Transactions on Instrumentation and Measurement, 2024, 73:3527110.
• X. Xu, P. Yang, H. Wang, Z. Xiao, G. Xing, X. Zhang, W. Wang, F. Xu, J. Zhang*, J. Lei*. [LINK]AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in OCT Angiography. IEEE Transactions on Medical Imaging, 42(2), 481-492, 2023, doi: 10.1109/TMI.2022.3214291.
• G. Xing, L. Chen, H. Wang, J. Zhang, D. Sun, F. Xu, J. Lei, and X. Xu. [LINK]Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network. IEEE Transactions on Medical Imaging2022, 41(6):1547-1559.
• H. Wang, Y. Zhou, J. Zhang, J. Lei, D. Sun, F. Xu, and X. Xu. " [LINK]Anomaly Segmentation in Retinal Images with Poisson-Blending Data Augmentation. Medical Image Analysis 81 (2022): 102534.
• H. Hao, C. Xu, Q. Yan, D. Zhang, J. Zhang*, Y. Liu*, Y. Zhao, Sparse-based Domain Adaptation Network for OCT-A Image Super-Resolution Reconstruction, IEEE Journal of Biomedical and Health Informatics, 2022, 26(9): 4402-4413.
• M. Awais, X. Long, B. Yin, S. F. Abbasi, S. Akbarzadeh, C. Lu, X. Wang, L. Wang, J. Zhang, J. Dudink, W. Chen, A hybrid DCNN-SVM model for classifying neonatal sleep and wake states based on facial expressions in video, IEEE Journal of Biomedical and Health Informatics 25 (5), 1441-1449, 2021
• X. Ge, D. Zhang, Y. Qiao, J. Zhang, J. Xu, Y. Zheng, Association of Tau pathology with clinical symptoms in the subfields of hippocampal formation, Frontiers in Aging Neuroscience,13, 2021
• A.H. Kashani, S. Asanad, J. Chen, M. Singer, J. Zhang, M. Sharifi, M. Khansari, F. Abdolahi, Y. Shi, A. Biffi, H. Chui, J. M Ringman, Past, present and future role of retinal imaging in neurodegenerative disease, Progress in Retinal and Eye Research, 100938, 2021
• J. Zhang, Y. Shi. ”Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping”. In MICCAI 2021, Lecture Notes in Computer Science, In Press, 2021
• Y. Zhao, J. Zhang*, H. Qi, T. Zheng, J. Liu. ” Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy”. IEEE Transactions on Medical Imaging. (2020) vol. 39(9), pp. 2725-2737.
• J. Zhang, Y. Qiao, M. Khansari, J.K. Gahm, M. Sharifi, A.H. Kashani and Y. Shi. ”3D Shape Modeling and Analysis of Retinal Microvasculature in OCT-Angiography Images”. IEEE Transactions on Medical Imaging. vol. 39 (5), pp. 1335–1346, 2020
• M.S. Sarabi, M. Khansari, J. Zhang, S.K. Lenhoff, J.K. Gahm, Y. Qiao, A. H. Kashani, and Y. Shi. "3D Retinal Vessel Density Mapping With OCT-Angiography." IEEE Journal of Biomedical and Health Informatics. 24, no. 12 (2020): 3466-3479.
• M. Khansari, J. Zhang, Y. Qiao, J.K. Gahm, M. Sharifi, A.H. Kashani and Y. Shi. “Automated Deformation-based Analysis of 3D Optical Coherence Tomography in Diabetic Retinopathy”. IEEE Transactions on Medical Imaging. vol. 39 (1), pp. 236–245, 2019
• J. Zhang, A.H. Kashani and Y. Shi. ”3D Surface-Based Geometric and Topological Quan- tification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis”. In MICCAI 2019, , vol. 11764, pp. 57-65, Springer International Publishing, 2019
• D. Chen, J. Zhang*and L. Cohen. “Minimal Paths for Tubular Structure Segmentation with Coherence Penalty and Adaptive Anisotropy”. IEEE Transactions on Image Processing. vol. 28 (3), pp. 1271–1284, 2019
• Z. Li, F. Huang, J. Zhang et al. ”Multi-modal and multi-vendor retina image registration”. Biomedical Optics Express. vol. 9 (2), pp. 410–422, 2018
• J. Zhang, E. Bekkers, D. Chen, T. Berendschot, J. Schouten, J. Pluim, Y. Shi, B. Dashtbozorg and B. ter Haar Romeny. ”Reconnection of interrupted curvilinear structures via cortically inspired completion for ophthalmologic images”. IEEE Transactions on Biomedical Engineering. vol. 65 (5), pp. 1151–1165, 2018
• B. Dashtbozorg, J. Zhang*, F. Huang and B. ter Haar Romeny. ”Retinal microaneurysms detection using local convergence index features”. IEEE Transactions on Image Processing. vol. 27 (7), pp. 3300–3315, 2018
• J. Zhang, Y. Chen, E. Bekkers, M. Wang, B. Dashtbozorg and B. ter Haar Romeny. ”Retinal vessel delineation using a brain-inspired wavelet transform and random forest”. Pattern Recognition. vol. 69 (2017), pp. 107–123, 2017
• S. Abbasi, J. Zhang, R. Duits and B. ter Haar Romeny. ”Retrieving challenging vessel connections in retinal images by line co-occurrence statistics”. Biological Cybernetics, vol. 111 (3), pp. 237–247, 2017
• J. Zhang, B. Dashtbozorg, E. Bekkers, J. Pluim, R. Duits and B. ter Haar Romeny. ”Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores”. IEEE Transactions on Medical Imaging. vol. 35 (12), pp. 2631–2644, 2016
• B. ter Haar Romeny, E. Bekkers, J. Zhang et al. ”Brain-Inspired Algorithms for Retinal Image Analysis”. Machine Vision and Applications, pp. 1-19, 2016. DOI: 10.1007/s00138-016-0771-9
• F. Huang, B. Dashtbozorg, J. Zhang, E. Bekkers, S. Abbasi, T.J.M. Berendschot and B. ter Haar Romeny. ” Reliability of using retinal vascular fractal dimension as a biomarker in the diabetic retinopathy detection”. Journal of Ophthalmology, 2016:6259047, pp.1-13, 2016
• J. Zhang, R. Duits, G. Sanguinetti, and B. ter Haar Romeny. ”Numerical approaches for linear left-invariant diffusions on SE(2), their comparison to exact solutions, and their applications in retinal imaging”. Numerical Mathematics: Theory, Methods and Applications (NM-TMA), vol. 9 (1), pp. 1-50, 2015