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张炯简介

张炯

中科院宁波材料所研究员

      入选中国科学院人才计划，浙江省杰出青年基金，浙江省海外高层次人才，宁波市领军人才，宁波市甬江引才工程创新个人等。 2017年博士毕业于荷兰埃因霍芬理工大学（TU/e）医学影像分析方向，之后分别在埃因霍芬理工大学和美国南加州大学（USC）Keck医学院神经影像学与信息学研究所（LONI）从事博士后研究工作，现就职于中国科学院宁波材料所-先进诊疗材料与技术实验室。主要从事医学图像分析，计算机辅助诊断和人工智能方向的研究工作，掌握了医学图像处理领域和人工智能领域内的主流分析理论和应用方法，主要针对眼科和大脑影像，尤其是微血管影像开展前沿技术开发和临床问题研究。近年来共发表论文80余篇，以第一/通讯作者在领域内权威期刊《IEEE Trans. Pattern Anal. Mach. Intell.》、《IEEE Trans. Med. Img.》、《IEEE Trans. Img. Process.》、《IEEE. Trans. Biomed. Eng.》等发表论文40余篇，曾获荷兰科学技术基金会NWO和IBM“最佳研究奖一等奖”。现担任中科院一区期刊《Pattern Recognition》、国际权威期刊《Medical Physics》和《BMJ Open Ophthalmology》副主编，同时担任《IEEE Journal of Biomedical Health Informatics》等多个国际期刊客座编委，并任多个计算机视觉和医学图像处理国际会议如MICCAI、ICASSP、ICCCV等领域主席，以及人工智能Top会议AAAI等程序委员，并担任国际期刊IEEE-TMI、IEEE-TIP、IEEE-TBME、MEDIA等20多个国际权威期刊和会议的同行评审，多次被评为IEEE-TMI杰出审稿人。担任中国生物医学工程学会医学图像信息与控制专委会，中国图象图形学学会医学影像专业委员会和中国体视学会智慧医疗专委会委员。承担参与国家自然科学基金面上项目和青年项目、中科院引才项目、浙江省自然科学基金杰出青年项目、重点项目和宁波市等多个项目。

 

Email: zhangjiong@nimte.ac.cn

Github：https://jiongzhang-john.github.io/

I am currently a professor at Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (CAS). I have obtained my PhD degree from the IMAG/e group at Eindoven University of Technology (TU/e), Eindhoven, the Netherlands in 2017. Afterwards, I worked as a postdoctoral research associate at TU/e. From 2018 I moved to the US and continued my postdoctoral research at Laboratory of NeuroImaging (LONI) at Keck School of Medicine, University of Southern California (USC), Los Angeles, USA. My research interests include AI-based ophthalmic image processing, ophthalmic microvascular and cerebrovascular analysis, shape analysis, and neuroimage analysis. In the last few years, I have published over 70 papers in leading medical imaging journals and conferences, including IEEE TMI, IEEE TIP, MedIA, IEEE TBME, PR, MICCAI and ISBI.I have been actively involved in many academic services including the associate editor of 《Pattern Recognition》《Medical Physics》 and 《BMJ Open Ophthalmology》, as well as the guest editorial of 《IEEE J Biomed Health Inform》，and  the Publicity Chair of ICCCV (2022), Program Committee of AAAI (2022), CVPR workshop CVPM (2019-2023), ICCV workshop CVPM (2019) , MICCAI workshop OMIA (2017-current), VSIP (2021) and etc.  

 

主要研究方向及招生

课题组常年招收博士后，博士，硕士及课题生，欢迎感兴趣同学与我联系。    

招收博士后、2025级硕士生，如符合以下条件且对待遇感兴趣的，请email ： zhangjiong@nimte.ac.cn    邮件标题请标明博士后或者硕士生申请

博士后基本要求：在领域权威期刊发表论文>=2篇

招生基本要求：对研究具有较浓厚的兴趣，且具有较好数学、英语和编程（Matlab，Python，C/C++）能力

 

主要工作经历

2025.01--至今       中国科学院宁波材料技术与工程研究所先进诊疗材料与技术实验室       研究员

2021.05--2024.12        中国科学院宁波材料技术与工程研究所所属生物医学工程研究所       副研究员

2017.11--2021.05  美国 南加州大学, Keck医学院   博士后

2017.03-- 2017.11  荷兰 埃因霍芬理工大学, 生物医学工程学院      博士后

 

主要科研项目

1.国家自然科学基金面上项目，49万，2024.01--2027.12，主持

2.国家自然科学基金青年基金项目，30万，2021.12--2024.12，主持

3.中国科学院人才计划，400万，2022.01--2025.12，主持

4.浙江省自然科学基金杰出青年基金项目，80万，2024.01--2027.12，主持

5.浙江省自然科学基金重点项目，30万，2023.1-2026.1 主持

6.宁波甬江人才项目，100万，2021.12-2025.12，主持

7. 中国科学院“春蕾人才”项目，120万，2021.09-2025.08，主持

 

担任国际会议程序委员会委员(TPC)：    

  • IEEE/ACM 互联健康：应用、系统和工程技术 (CHASE) 2022  程序委员会委员
  • 第五届控制与计算机视觉国际会议（ICCCV 2022）程序主席
  • 国际计算机视觉顶级会议CVPR关于“计算机视觉的生理测量”专题会议 2020程序委员会委员。
  • 国际计算机视觉顶级会议ICCV关于“计算机视觉的生理测量”专题会议 2019程序委员会委员。
  • 国际医学图像计算和计算机辅助介入顶级会议MICCAI关于“眼科医学影像分析”专题会议 2019程序委员会委员。
  • 国际医学图像计算和计算机辅助介入顶级会议MICCAI关于“眼科医学影像分析”专题会议 2018程序委员会委员。
  • 国际医学图像计算和计算机辅助介入顶级会议MICCAI关于“眼科医学影像分析”专题会议 2017程序委员会委员。
  • 第十二届全荷博士医学图像处理会议MISP 2016 执行主席。

担任权威国际期刊和会议审稿人    

  • 模式识别与人工智能权威期刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》JCR 一区  
  • 医学图像分析权威期刊《Medical Image Analysis》JCR 一区  
  • 医学图像分析权威期刊《IEEE Transactions on Medical Imaging》JCR 一区    
  • 图像处理权威期刊《IEEE Transactions on Image Processing》JCR一 区        
  • 生物医学工程权威期刊《IEEE Transactions on Biomedical Engineering》JCR一区       
  • 模式识别权威期刊《Pattern Recognition》JCR一区 
  • 《IEEE Journal of Biomedical and Health Informatics》 JCR一区
  • 《Biomedical Optics Express》JCR一区     
  • 《Medical Physics》JCR一区     
  • 《Neurocomputing》JCR一区    
  • 《Journal of Biophotonics》JCR一区       
  • 国际医学成像顶级会议MICCAI 2016，2017，2018，2019，2020
  • 深度学习在医学图像中的应用国际会议MIDL 2020

 

代表性论文

  1. T. Chen, D. Zhang, D. Chen, H. Fu, K. Jin, S. Wang, L.D. Cohen, Y. Zhao, Q. Yi, J. Zhang. Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. CNVSeg-Dataset
  2. J. Zhang; Q. Xie; L. Mou; D. Zhang; D. Chen; C. Shan, Y. Zhao, R. Su, M. Guo.  DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation. IEEE Transactions on Medical Imaging, vol. 44, no. 6, pp. 2515-2527, 2025, DOI: 10.1109/TMI.2025.3540886.  DSA-Segmentation-Dataset
  3.  C. Lu, Z. Guo, D. Zhang, L. Mou, J. Yuan, S. Ma, D. Chen, Y. Zhao, K. Xia, J. Zhang. RSAPower: Random Style Augmentation Driven Structure Perception Network for Generalized Retinal OCT Fluid Segmentation. IEEE Transactions on Medical Imaging, vol. 44, no. 5, pp. 2353-2367, 2025, DOI: 10.1109/TMI.2025.3531496
  4. C. Lu, J. Zhang, D. Zhang, L. Mou, J. Yuan, K. Xia, Z. Guo, J. Zhang. Fine-Grained Hierarchical Progressive Modal-Aware Network for Brain Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics, 2025, doi: 10.1109/JBHI.2025.3572301.
  5. H. Mao, Y. Ma, D. Zhang, Y. Meng, S. Ma, Y. Qiao, H. Fu, C. Shan, D. Chen, Y. Zhao, J. Zhang. 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.
  6. J. Zhang, C. Lu, R. Song, Y. Zheng, H. Hao, Y. Meng, Y. Zhao. Self-Guided Adversarial Network for Domain Adaptive Retinal Layer Segmentation. IEEE Transactions on Instrumentation and Measurement, 2024, 73:3527110.
  7. ​Xiayu Xu, Peiwei Yang, Hualin Wang, Zhanfeng Xiao, Gang Xing, Xiulan Zhang, Wei Wang, Feng Xu, Jiong Zhang*, Jianqin Lei*. AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in OCT Angiography[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022.
  8. Zhang, Jiong, Qiao, Yuchuan, Sarabi, Mona Sharifi, Khansari, Maziyar M, Gahm, Jin K, Kashani, Amir H, Shi, Yonggang. 3D Shape Modeling and Analysis of Retinal Microvasculature in OCT-Angiography Images.IEEE TRANSACTIONS ON MEDICAL IMAGING. 2020, 39(5): 1335-1346, https://www.webofscience.com/wos/woscc/full-record/WOS:000532214700005.
  9. Zhao, Yitian, Zhang, Jiong*, Pereira, Ella, Zheng, Yalin, Su, Pan, Xie, Jianyang, Zhao, Yifan, Shi, Yonggang, Qi, Hong, Liu, Jiang, Liu, Yonghuai. Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy (vol 39, pg 2725, 2020). IEEE TRANSACTIONS ON MEDICAL IMAGING. 2020, 39(11): 3758-3758, https://www.webofscience.com/wos/woscc/full-record/WOS:000586352000044.
  10. Chen, Da, Zhang, Jiong*, Cohen, Laurent D. Minimal Paths for Tubular Structure Segmentation With Coherence Penalty and Adaptive Anisotropy. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(3): 1271-1284, https://www.webofscience.com/wos/woscc/full-record/WOS:000450166100003
  11. Zhang, Jiong, Bekkers, Erik, Chen, Da, Berendschot, Tos T J M, Schouten, Jan, Pluim, Josien P W, Shi, Yonggang, Dashtbozorg, Behdad, Romeny, Bart M ter Haar. Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING[J]. 2018, 65(5): 1151-1165, https://www.webofscience.com/wos/woscc/full-record/WOS:000430695900021.
  12. Dashtbozorg, Behdad, Zhang, Jiong*, Huang, Fan, Romeny, Bart M ter Haar. Retinal Microaneurysms Detection Using Local Convergence Index Features. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2018, 27(7): 3300-3315, http://dx.doi.org/10.1109/TIP.2018.2815345.
  13. Zhang, Jiong, Chen, Yuan, Bekkers, Erik, Wang, Meili, Dashtbozorg, Behdad, Romeny, Bart M ter Haar. Retinal vessel delineation using a brain-inspired wavelet transform and random forest. PATTERN RECOGNITION[J]. 2017, 69: 107-123, http://dx.doi.org/10.1016/j.patcog.2017.04.008.
  14. Zhang, Jiong, Dashtbozorg, Behdad, Bekkers, Erik, Pluim, Josien P W, Duits, Remco, Romeny, Bart M ter Haar. Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2016, 35(12): 2631-2644, https://www.webofscience.com/wos/woscc/full-record/WOS:000391547700012.
  15. Hao, Jinkui, Liu, Jiang, Pereira, Ella, Liu, Ri, Zhang, Jiong, Zhang, Yangfan, Yan, Kun, Gong, Yan, Zheng, Jianjun, Zhang, Jingfeng, Liu, Yonghuai, Zhao, Yitian. Uncertainty-guided graph attention network for parapneumonic effusion diagnosis. MEDICAL IMAG ANALYSIS[J]. 2022, 75: http://dx.doi.org/10.1016/j.media.2021.102217.
  16. Hao, Huaying, Zhao, Yitian, Yan, Qifeng, Higashita, Risa, Zhang, Jiong, Zhao, Yifan, Xu, Yanwu, Li, Fei, Zhang, Xiulan, Liu, Jiang. Angle-closure assessment in anterior segment OCT images via deep learning. MEDICAL IMAGE ANALYSIS[J]. 2021, 69: http://dx.doi.org/10.1016/j.media.2021.101956.
  17. Awais, Muhammad, Long, Xi, Yin, Bin, Farooq Abbasi, Saadullah, Akbarzadeh, Saeed, Lu, Chunmei, Wang, Xinhua, Wang, Laishuan, Zhang, Jiong, Dudink, Jeroen, Chen, Wei. 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[J]. 2021, 25(5): 1441-1449, http://dx.doi.org/10.1109/JBHI.2021.3073632.
  18. Kashani, Amir H, Asanad, Samuel, Chan, Jane W, Singer, Maxwell B, Zhang, Jiong, Sharifi, Mona, Khansari, Maziyar M, Abdolahi, Farzan, Shi, Yonggang, Biffi, Alessandro, Chui, Helena, Ringman, John M. Past, present and future role of retinal imaging in neurodegenerative disease. PROGRESS IN RETINAL AND EYE RESEARCH. 2021, 83: http://dx.doi.org/10.1016/j.preteyeres.2020.100938.
  19. Ma, Yuhui, Hao, Huaying, Xie, Jianyang, Fu, Huazhu, Zhang, Jiong, Yang, Jianlong, Wang, Zhen, Liu, Jiang, Zheng, Yalin, Zhao, Yitian. ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2021, 40(3): 928-939, https://www.webofscience.com/wos/woscc/full-record/WOS:000626332400013.
  20. Khansari, Maziyar M, Zhang, Jiong, Qiao, Yuchuan, Gahm, Jin Kyu, Sarabi, Mona Sharifi, Kashani, Amir H, Shi, Yonggang. Automated Deformation-Based Analysis of 3D Optical Coherence Tomography in Diabetic Retinopathy. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2020, 39(1): 236-245, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928449/.
  21. Sarabi, Mona Sharifi, Khansari, Maziyar M, Zhang, Jiong, KushnerLenhoff, Sam, Gahm, Jin Kyu, Qiao, Yuchuan, Kashani, Amir H, Shi, Yonggang. 3D Retinal Vessel Density Mapping With OCT-Angiography. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2020, 24(12): 3466-3479, http://dx.doi.org/10.1109/JBHI.2020.3023308.
  22. Jiong Zhang, Amir H Kashani, Yonggang Shi. 3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis. Medical image computing and computer-assisted intervention : MICCAI 2019. International Conference on Medical Image Computing and Computer-Assisted Intervention. 2019, 11764: 57-65, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045407/.
  23. Jiong Zhang, Amir H. Kashani and Yonggang Shi.   “3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis”. In MICCAI 2019, vol. 12907, pp. 710-720, Springer, Cham, 2019
  24. Jiong Zhang, Yonggang Shi. “Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping”. In MICCAI 2021, vol. 11764, pp. 57-65, Springer, Cham
  25. Yanmiao Bai, Jinkui Hao, Huazhu Fu, Yan Hu, Xinting Ge, Jiang Liu, Yitian Zhao*, Jiong Zhang*. “Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography”.  In MICCAI 2022. vol 13432, pp. 560-570, Springer, Cham, 2022
  26. Jiayu Chen, Lei Mou, Shaodong Ma, Huazhu Fu, Lijun Guo, Yalin Zheng, Jiong Zhang*, Yitian Zhao*. “NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation”. In MICCAI 2022. vol 13434, pp. 79-88, Springer, Cham, 2022
  27. Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu & Jiong Zhang*, “RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization”.  In MICCAI 2023. vol 14223, vol. 9279, pp. 163-172, Springer, Cham, 2023
  28. Yuanyuan Li, Huaying Hao, Dan Zhang, Huazhu Fu, Mengting Liu, Caifeng Shan, Yitian Zhao, Jiong Zhang*, “MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification”.  MICCAI 2024.
  29. Qihang Xie, Dan Zhang, Lei Mou, Shanshan Wang, Yitian Zhao, Mengguo Guo, Jiong Zhang*, “DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences”. MICCAI 2024.
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