張炯
中科院甯波材料所“春蕾人才”副研究員，碩士生導師
入選中科院人才計劃，浙江省傑出青年基金，甯波市領軍人才，甯波市甬江引才工程創新個人等。 2017年博士畢業于荷蘭埃因霍芬理工大學(xué)（TU/e）醫學(xué)影像分析方向(xiàng)，之後(hòu)分别在埃因霍芬理工大學(xué)和美國(guó)南加州大學(xué)（USC）Keck醫學(xué)院神經(jīng)影像學(xué)與信息學(xué)研究所（LONI）從事(shì)博士後(hòu)研究工作，現就職于中科院甯波材料所-慈溪生物醫學(xué)工程研究所（NIMTE）。主要從事(shì)醫學(xué)圖像分析，計算機輔助診斷和人工智能(néng)方向(xiàng)的研究工作，掌握了醫學(xué)圖像處理領域和人工智能(néng)領域内的主流分析理論和應用方法，主要針對(duì)眼科和大腦影像，尤其是微血管影像開(kāi)展前沿技術開(kāi)發(fā)和臨床問題研究。近五年來共發(fā)表論文70餘篇，以第一/通訊作者在領域内權威期刊《IEEE Trans. Med. Img.》、《IEEE Trans. Img. Process.》、《IEEE. Trans. Biomed. Eng.》等發(fā)表論文近30篇，曾獲荷蘭科學(xué)技術基金會NWO和IBM“最佳研究獎一等獎”。現擔任國(guó)際期刊《Medical Physics》、《BMJ Open Ophthalmology》編委及《IEEE J Biomed Health Inform》等多個國(guó)際期刊客座編委，并任多個計算機視覺和醫學(xué)圖像處理國(guó)際會議如ICCCV（2022）程序主席，以及AAAI（2021）、ICCV-CVPM、CVPR-CVPM 、 MICCAI-OMIA 和 VSIP（2022）程序委員會委員，并擔任國(guó)際期刊IEEE-TMI、IEEE-TIP、IEEE-TBME、MEDIA等20多個國(guó)際權威期刊和會議的同行評審，多次被(bèi)評爲IEEE-TMI傑出審稿人。承擔參與國(guó)家自然科學(xué)基金面(miàn)上項目和青年項目、中科院引才項目、浙江省自然科學(xué)基金傑出青年項目、重點項目和甯波市等多個項目。
英文主頁(English page)，請訪問：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(xiàng)及招生
醫學(xué)影像分析、計算機輔助診斷、深度學(xué)習、人工智能(néng)及其在醫學(xué)圖像處理分析中的應用
在以上研究方向(xiàng)上，課題組與美國(guó)南加州大學(xué)、荷蘭埃因霍芬理工大學(xué)、阿姆斯特丹大學(xué)、英國(guó)利物浦大學(xué)、荷蘭癌症中心、約翰霍普金斯醫學(xué)院、溫州醫科大學(xué)附屬眼視光醫院、華西醫院、鄭州大學(xué)第一附屬醫院等國(guó)内外科研院所保持密切的科研合作關系，擁有較多的國(guó)内外科研交流和項目合作機會
課題組常年招收博士後(hòu)，博士，碩士及課題生，歡迎感興趣同學(xué)與我聯系。
招收博士後(hòu)、2022級碩士生，如符合以下條件且對(duì)待遇感興趣的，請email ： zhangjiong@nimte.ac.cn 郵件标題請标明博士後(hòu)或者碩士生申請
博士後(hòu)基本要求：在圖像處理、模式識别等領域權威期刊發(fā)表論文>=2篇
博士後(hòu)待遇請參見此鏈接
招生基本要求：對(duì)研究具有較濃厚的興趣，且具有較好(hǎo)數學(xué)、英語和編程（Matlab，Python，C/C++）能(néng)力
主要工作經(jīng)曆
2021.05 至今 中國(guó)科學(xué)院甯波材料技術與工程研究所所屬生物醫學(xué)工程研究所 副研究員
2017.11--2021.05 美國(guó) 南加州大學(xué), Keck醫學(xué)院 博士後(hòu)
2017.03-- 2017.11 荷蘭 埃因霍芬理工大學(xué), 生物醫學(xué)工程學(xué)院 博士後(hòu)
主要科研項目
1.國(guó)家自然科學(xué)基金面(miàn)上項目，49萬，2024.01--2027.12，主持
2.國(guó)家自然科學(xué)基金青年基金項目，30萬，2021.12--2024.12，主持
3.中國(guó)科學(xué)院人才計劃，400萬，2022.01--2025.12，主持
4.浙江省自然科學(xué)基金傑出青年基金項目，80萬，2024.01--2027.12，主持
5.浙江省自然科學(xué)基金重點項目，30萬，2023.1-2026.1 主持
6.甯波甬江人才項目，100萬，2021.12-2025.12，主持
7. 中國(guó)科學(xué)院“春蕾人才”項目，120萬，2021.09-2025.08，主持
擔任國(guó)際會議程序委員會委員(TPC)：
- IEEE/ACM 互聯健康：應用、系統和工程技術 (CHASE) 2022 程序委員會委員
- 第五屆控制與計算機視覺國(guó)際會議（ICCCV 2022）程序主席
- 國(guó)際計算機視覺頂級會議CVPR關于“計算機視覺的生理測量”專題會議 2020程序委員會委員。
- 國(guó)際計算機視覺頂級會議ICCV關于“計算機視覺的生理測量”專題會議 2019程序委員會委員。
- 國(guó)際醫學(xué)圖像計算和計算機輔助介入頂級會議MICCAI關于“眼科醫學(xué)影像分析”專題會議 2019程序委員會委員。
- 國(guó)際醫學(xué)圖像計算和計算機輔助介入頂級會議MICCAI關于“眼科醫學(xué)影像分析”專題會議 2018程序委員會委員。
- 國(guó)際醫學(xué)圖像計算和計算機輔助介入頂級會議MICCAI關于“眼科醫學(xué)影像分析”專題會議 2017程序委員會委員。
- 第十二屆全荷博士醫學(xué)圖像處理會議MISP 2016 執行主席。
擔任權威國(guó)際期刊和會議審稿人
- 模式識别與人工智能(néng)權威期刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》JCR 一區
- 醫學(xué)圖像分析權威期刊《Medical Image Analysis》JCR 一區
- 醫學(xué)圖像分析權威期刊《IEEE Transactions on Medical Imaging》JCR 一區
- 圖像處理權威期刊《IEEE Transactions on Image Processing》JCR一 區
- 生物醫學(xué)工程權威期刊《IEEE Transactions on Biomedical Engineering》JCR一區
- 模式識别權威期刊《Pattern Recognition》JCR一區
- 《IEEE Journal of Biomedical and Health Informatics》 JCR一區
- 《Biomedical Optics Express》JCR一區
- 《Medical Physics》JCR一區
- 《Neurocomputing》JCR一區
- 《Journal of Biophotonics》JCR一區
- 國(guó)際醫學(xué)成(chéng)像頂級會議MICCAI 2016，2017，2018，2019，2020
- 深度學(xué)習在醫學(xué)圖像中的應用國(guó)際會議MIDL 2020
代表性論文
• 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