张炯
中科院宁波材料所“春蕾人才”副研究员，硕士生导师
入选中科院人才计划，浙江省杰出青年基金，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，现就职于中科院宁波材料所-慈溪生物医学工程研究所（NIMTE）。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。近五年来共发表论文70余篇，以第一/通讯作者在领域内权威期刊《IEEE Trans. Med. Img.》、《IEEE Trans. Img. Process.》、《IEEE. Trans. Biomed. Eng.》等发表论文近30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ICCCV（2022）程序主席，以及AAAI（2021）、ICCV-CVPM、CVPR-CVPM 、 MICCAI-OMIA 和 VSIP（2022）程序委员会委员，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。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。
英文主页(English page)，请访问：https://jiongzhang-john.github.io/
Email: zhangjiong@nimte.ac.cn
I am currently an associate professor of the Group of Intelligent Medical Imaging (iMED) 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 《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
医学影像分析、计算机辅助诊断、深度学习、人工智能及其在医学图像处理分析中的应用
在以上研究方向上，课题组与美国南加州大学、荷兰埃因霍芬理工大学、阿姆斯特丹大学、英国利物浦大学、荷兰癌症中心、约翰霍普金斯医学院、温州医科大学附属眼视光医院、华西医院、郑州大学第一附属医院等国内外科研院所保持密切的科研合作关系，拥有较多的国内外科研交流和项目合作机会
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、2022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：在图像处理、模式识别等领域权威期刊发表论文>=2篇
博士后待遇请参见此链接
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
2021.05 至今 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
• 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.
• Gang Xing, Li Chen, Hualin Wang, Jiong Zhang, Dongke Sun, Feng Xu, Jianqin Lei, and Xiayu Xu. Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network[J]. IEEE Transactions on Medical Imaging, 2022, 41(6):1547-1559.
• Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, Dongke Sun, Feng Xu, and Xiayu Xu. "Anomaly Segmentation in Retinal Images with Poisson-Blending Data Augmentation." Medical Image Analysis 81 (2022): 102534.
• Jinkui Hao, Ting Shen, Xueli Zhu, Yonghuai Liu, Ardhendu Behera, Dan Zhang, Jiang Liu, Jiong Zhang, Yitian Zhao, Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning, IEEE Transactions on Medical Imaging, 2022, 41(12): 3969-3980.
• Huaying Hao, Cong Xu, Qifeng Yan, Dan Zhang, Jiong Zhang*, Yue Liu*, Yitian 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.
• Lei Mou, Hong Qi, Yonghuai Liu, Yalin Zheng, Peter Matthew, Pan Su, Jiang Liu, Jiong Zhang, Yitian Zhao, DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity, IEEE Transactions on Medical Imaging, 2022, 41(8): 2079-2091.
• Jinkui Hao, Jiang Liu, Ella Pereira, Ri Liu, Jiong Zhang, Yangfan Zhang, Kun Yan, Yan Gong, Jianjun Zheng, Jingfeng Zhang, Yonghuai Liu,Yitian Zhao, Uncertainty-guided Graph Attention Network for Parapneumonic Effusion Diagnosis, Medical Image Analysis, 75: 102217, 2022.
• Q Yan, Y Gu, J Zhao, W Wu, Y Ma, J Liu, Jiong Zhang, Y Zhao，Automatic choroid layer segmentation in OCT images via context efficient adaptive network, Applied Intelligence, 2022: 1-13.
• 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[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022: 79-88.
•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[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022: 560-570.
• Yitian Zhao, Jinyu Zhao, Yuanyuan Gu, Bang Chen, Jiaqi Guo, Jianyang Xie, Qifeng Yan, Yuhui Ma, Yufei Wu, Jiong Zhang*, Qinkang Lu, Jiang Liu, Outer Retinal Layer Thickness Changes in White Matter Hyperintensity and Parkinson's Disease, Frontiers in neuroscience，15, 2021
• Jinghui Lin, Lei Mou, Jiong Zhang, Xingyu Yue, Shengjun Zhou, Zhiqing Lin, Jiang Liu and Yitian Zhao , Automated Segmentation of Trigeminal Nerve and Cerebrovasculature in MR-Angiography Images by Deep Learning, Frontiers in Neuroscience , 15: 744967, 2021
• Muhammad Awais, Xi Long, Bin Yin, Saadullah Farooq Abbasi, Saeed Akbarzadeh, Chunmei Lu, Xinhua Wang, Laishuan Wang, Jiong Zhang, Jeroen Dudink, Wei 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
• Amir H Kashani, Samuel Asanad, Jane Chen, Maxwell Singer, Jiong Zhang, Mona Sharifi, Maziar Khansari, Farzan Abdolahi, Yonggang Shi, Alessandro Biffi, Helena Chui, John M Ringman, Past, present and future role of retinal imaging in neurodegenerative disease, Progress in Retinal and Eye Research, 100938, 2021
• Hao, Huaying, Yitian Zhao, Qifeng Yan, Risa Higashita, Jiong Zhang, Yifan Zhao, Yanwu Xu, Fei Li, Xiulan Zhang, and Jiang Liu. "Angle-closure assessment in anterior segment OCT images via deep learning." Medical Image Analysis. 69 (2021): 101956.
• Jiong Zhang, Yonggang 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
• Yitian Zhao, Jiong Zhang*, Hong Qi, Yalin Zheng, Jiang Liu. ”Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy”. IEEE Transactions on Medical Imaging. (2020) vol. 39(9), pp. 2725-2737.
• Jiong Zhang, Yuchuan Qiao, Maziyar M. Khansari, Jin Kyu Gahm, Mona Sharifi, Amir H. Kashani and Yonggang 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
• Ma, Yuhui, Huaying Hao, Jianyang Xie, Huazhu Fu, Jiong Zhang, Jianlong Yang, Zhen Wang, Jiang Liu, Yalin Zheng, and Yitian Zhao. "ROSE: a retinal OCT-angiography vessel segmentation dataset and new model." IEEE Transactions on Medical Imaging. 40, no. 3 (2020): 928-939.
• Sarabi, Mona Sharifi, Maziyar M. Khansari, Jiong Zhang, Sam Kushner-Lenhoff, Jin Kyu Gahm, Yuchuan Qiao, Amir H. Kashani, and Yonggang Shi. "3D Retinal Vessel Density Mapping With OCT-Angiography." IEEE Journal of Biomedical and Health Informatics. 24, no. 12 (2020): 3466-3479.
• Maziyar M. Khansari, Jiong Zhang, Yuchuan Qiao, Jin Kyu Gahm, Mona Sharifi, Amir H. Kashani and Yonggang 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
• Jiong Zhang, Amir H. Kashani and Yonggang 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
• Da Chen, Jiong Zhang*and Laurent 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
• Zhang Li, Fan Huang, Jiong Zhang et al. ”Multi-modal and multi-vendor retina image registration”. Biomedical Optics Express. vol. 9 (2), pp. 410–422, 2018
• Jiong Zhang, Erik Bekkers, Da Chen, Tos TJM Berendschot, Jan Schouten, Josien Pluim, Yonggang Shi, Behdad Dashtbozorg and Bart 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
• Behdad Dashtbozorg, Jiong Zhang*, Fan Huang and Bart ter Haar Romeny. ”Retinal microaneurysms detection using local convergence index features”. IEEE Transactions on Image Processing. vol. 27 (7), pp. 3300–3315, 2018
• Jiong Zhang, Yuan Chen, Erik Bekkers, Meili Wang, Behdad Dashtbozorg and Bart ter Haar Romeny. ”Retinal vessel delineation using a brain-inspired wavelet transform and random forest”. Pattern Recognition. vol. 69 (2017), pp. 107–123, 2017
• Samaneh Abbasi-Sureshjani, Jiong Zhang, Remco Duits and Bart ter Haar Romeny. ”Retrieving challenging vessel connections in retinal images by line co-occurrence statistics”. Biological Cybernetics, vol. 111 (3), pp. 237–247, 2017
• Jiong Zhang, Behdad Dashtbozorg, Erik Bekkers, Josien Pluim, Remco Duits and Bart 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
• Bart ter Haar Romeny, Erik Bekkers, Jiong 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
• Fan Huang, Behdad Dashtbozorg, Jiong Zhang, Erik Bekkers, Samaneh Abbasi-Sureshjani, Tos J.M. Berend- schot and Bart 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
• Jiong Zhang, Remco Duits, Gonzalo Sanguinetti, and Bart 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