个人简介

陈玉倩，天津大学菁英教授，博士生导师，2025年入选国家级青年人才计划，2026年入职天津大学。于悉尼大学获得计算机科学博士学位，在哈佛大学医学院从事博士后研究工作，长期致力于神经影像与人工智能交叉领域的前沿研究。 在医学影像与脑科学领域国际顶级期刊和会议上（Medical Image Analysis, MICCAI 和Neuroimage等）持续产出高水平研究成果，获得多项重要国际学术奖励与荣誉。多次组织国际会议和研讨会等，并担任多个顶级期刊和会议审稿人。

主要研究方向

医学图像处理 神经影像分析 弥散磁共振计算分析 深度学习 计算机视觉 脑机接口 脑科学

代表性学术成果

Chen, Y., Zekelman, L.R., Lo, Y., et al (2025). TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View. Human Brain Mapping, 46(5), e70201.

Chen, Y., Zhang, F., Wang, M., Zekelman, L.R., et al (2025). TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Interpretable Sex and Age Prediction from Diffusion MRI Tractography. Medical Image Analysis (2025): 103476.

Chen, Y., Zekelman, L.R., Zhang, C., et al (2023). TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Analysis, 94, 103120.

Chen, Y., Zhang, C., Xue, T., Song, Y., et al (2023). Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage, 273, p.120086.

Chen, Y., Zhang, F., R. Zekelman, L.R., et al (2023). TractGraphCNN: Anatomically Informed Graph CNN for Classification using Diffusion MRI Tractography. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp. 1-5. IEEE, 2023.

Chen, Y., Zhang, F., Zhang, C., et al (2022). White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. 25th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2022), pp. 174-184.

Chen, Y., Zhang, C., Song, Y., et al (2021). Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021), pp. 497-507.

Chen, Y., Song, Y., Zhang, C., et al (2021). CellTrack R-CNN: A novel end-to-end deep neural network for cell segmentation and tracking in microscopy images. 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), Nice: Institute of Electrical and Electronics Engineers (IEEE).

Xue, T., Chen, Y., Zhang, C., et al (2023). TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), pp. 409-419.

Vroemen, M. J., Chen, Y., Lo, Y., et al. (2026). DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography. NeuroImage, 121765.

获奖情况

2025华人磁共振协会青年研究者奖

2024人类脑图谱组织杰出贡献奖

2019-2023 悉尼大学国际奖学金

社会学术兼职

2025/2026 MICCAI 计算弥散磁共振研讨会组织者

顶级期刊和会议常规审稿人（IEEE TMI, IEEE JBHI, Neuroimage, MICCAI, ISBI等）

招生信息

现招收生物医学工程、人工智能、电子信息等相关专业的硕士、博士研究生以及博士后，欢迎有志从事医学图像(尤其是神经影像)计算分析等方向的学生加入本课题组，如有意向请发邮件到ychen_51@tju.edu.cn。