张靖阳，副教授，硕士生导师。2016年至2021年于上海交通大学获得博士学位，2021年至2024年先后在上海科技大学和香港中文大学担任博士后研究员。近期研究方向为：医学影像智能分析，医疗多模态大模型，高效鲁棒性深度学习理论等。在医学影像分析领域顶刊和顶会TMI，MIA，MICCAI发表论文十余篇，长期担任多个国际著名期刊会议的审稿人和编委。
招生：
1. 招收2025级计算机学院和生物医学工程学院硕士研究生，欢迎有自驱力和科研热情的学生报名！
2. 欢迎对医学影像和人工智能感兴趣的本科生参与全程科研训练。
学生去向：
2023届：王浩宇（远程指导），硕士，英特尔；
2022届：吴蔚（联合指导），博士，联影医疗；
2021届：张宏（联合指导），硕士，字节跳动；
最新动态：
2025.04.18，祝贺指导的博士研究生徐敦源（香港中文大学CSE-联合指导）一作论文被医学影像领域TOP期刊《IEEE Transcations on Medical Imaging》接收！
2025.04.12，祝贺与山东大学董恩清教授团队合作论文被《Computerized Medical Imaging and Graphics》接收！
2025.03.19，祝贺与中南大学匡湖林教授团队合作论文被医学影像领域TOP期刊《Medical Imaging Analysis》接收！
2025.03.12，祝贺指导的博士研究生王得旭（上海交通大学-联合指导）一作论文被杂志《Biomedical Signal Processing and Control》接收！
2025.02.14，祝贺与新加坡国立大学Yueming Jin教授团队合作论文被医学影像领域TOP会议《Information Processing in Medical Imaging》接收（Oral Presentation）！
2025.02.04，祝贺张靖阳老师一作论文被医学影像领域TOP期刊《IEEE Transcations on Medical Imaging》接收！
2016.09-2021.12 上海交通大学-生物医学工程学院 工学博士（导师：顾力栩教授）
2012.09-2016.06 华中科技大学-生物医学工程学院 工学学士（卓越工程师计划）
2022.11 - 2024.09 香港中文大学-计算机科学与工程系 博士后研究员（合作导师：Prof. Pheng-Ann Heng）
2021.10 - 2022.08 上海科技大学-生物医学工程系 博士后研究员（合作导师：沈定刚教授）
Jingyang Zhang, et al. DC2T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation. IEEE Transactions on Medical Imaging (TMI) 2024.
Jingyang Zhang, et al. S3R: Shape and Semantic-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites. IEEE Transactions on Medical Imaging (TMI) 2023.
Jingyang Zhang, et al. Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022.
Jingyang Zhang, et al. Comprehensive Importance-based Selective Regularization for Continual Segmentation across Multiple Sites. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021.
Jingyang Zhang, et al. SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. IEEE International Symposium on Biomedical Imaging (ISBI) 2021.
Jingyang Zhang, et al. Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation. Neurocomputing 2020.
Jingyang Zhang, et al. Vesselness-Constrained Robust PCA for Vessel Enhancement in X-ray Coronary Angiograms. Physics in Medine and Biology (PMB) 2018.
Wei Li, Jingyang Zhang#, et al. Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024.
Ran Gu*, Jingyang Zhang*, et al. Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021.
Ran Gu*, Jingyang Zhang*, et al. Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation across Similar Anatomical Structures. IEEE Transactions on Medical Imaging (TMI) 2022.
Peng Xue*, Jingyang Zhang*, et al. Structure-Aware Registration Network for Liver DCE-CT images. IEEE Journal of Biomedical and Health Informatics (JBHI) 2024.
Lei Ma*, Jingyang Zhang*, et al. Construction of Unbiased Dental Template and Parametric Dental Model for Precision Digital Dentistry. Biomedical Signal Processing and Control (BSPC) 2024.
Mianxin Liu*, Jingyang Zhang*, et al. A Common Spectrum Underlying Brain Disorders across Lifespan Revealed by Deep Learning on Brain Networks. iScience 2023.
