Jiong Zhang

• Medical Image Processing: image enhancement, pathology segmentation/detection, image registration.
• Vascular Analysis: retinal microvascular segmentation/analysis (2D/3D), neurovascular image analysis.
• Shape Analysis: vascular/cortical surface reconstruction and analysis.
• ⚡Related Diseases: Cerebrovascular diseases, small vessel diseases, diabetic retinopathy/neuropathy (DR/DN), age-related macular degeneration (AMD), glaucoma, alzheimer's disease (AD), ischemic stroke, and moyamoya disease.
• ⚡Image Modalities: [Brain] MRI, MRA, CTA, DSA. [Eye] OCT, AS-OCT, OCTA, FA, Fundus, UWF, Confocal Microscopy (CM).

Chinese Academy of Sciences Ningbo, China                Professor                             2024.12– present

Chinese Academy of Sciences Ningbo, China                Associate Professor             2021.8– 2024.12

University of Southern California, United States            Postdoctoral Researcher      2017.12– 2021.7

Eindhoven University of Technology, the Netherlands   Postdoctoral Researcher      2017.4 – 2017.11

Eindhoven University of Technology, the Netherlands   Ph.D. degree                         2012.10 – 2017.3

Northwest A&F University, China                                   M.Sc. degree in Computer Science – 2012.6

• [03/2025] One paper was accepted by Pattern Recognition: "3D microvascular reconstruction in retinal OCT angiography images via domain-adaptive learning"
• [02/2025] One paper was accepted by IEEE TMI: "DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation"
• [01/2025] One paper was accepted by IEEE TMI: "RSAPower: Random Style Augmentation Driven Structure Perception Network for Generalized Retinal OCT Fluid Segmentation"
• [01/2025] I was invited to serve as an Area Chair for MICCAI 2025
• [01/2025] One paper was accepted by IEEE ISBI: "MSAPNet: Multi-Scale and Multi-Axial Perception Network for Retinal Layers and Lesion Segmentation"
• [12/2024] I was awarded as the IEEE Transactions on Medical Imaging (TMI) Distinguished Reviewer (Platinum Level) for contributions to IEEE-TMI.
• [09/2024] One paper was accepted by IEEE JBHI: "MR^2-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance"
• [08/2024] One paper was accepted by IEEE TIM: "Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation".
• [06/2024] I have been invited to join the editor board of Pattern Recognition as an Associate Editor.
• [06/2024] Four papers were accepted by MICCAI 2024.

Highlighted Publications:

• More publications in: 
[ G o o g l e Scholar ]

• 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.,
<a href="https://github.com/jiongzhang-john/DSCA" DSA-Segmentation-Dataset

• 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 

• Memberships:
  • IEEE Member.
• Assocaite Editors:
  • Pattern Recognition
  • Medical Physics
  • BMJ Open Ophthalmology
  • IEEE Journal of Biomedical and Health Informatics, Special Issue on “Foundation Models in Medical Imaging”, 2023.
  • Frontiers in Medicine, Special Issue on “Predictive and Diagnostic Approaches for Systemic Disorders Using Ocular Assessment”, 2020.
  • Sensing and Imaging, Special Issue on “Deep Learning for Medical Image Reconstruction and Analysis”, 2020.
• Area Chair/PC:
  • MICCAI (2025), ICASSP (2025), MICCAI (2024), MCVR (2023), MICCAI-OMIA (2017-2023), ICCCV (2022), AAAI (2022), CVPR-CVPM (2019-2023), ICCV-CVPM (2019), VSIP (2021)