About me

Welcome! This is Xinzhe, currently working toward my PhD degree in Statistics with the School of Data Science, Fudan University, advised by Prof. Xiahai Zhuang. My research interests involve the interdisciplinary area of medical image computing, statistics, artificial intelligence, and mathematics. I am currently working on using statistical modelling and machine learning techniques to achieve multi-modal groupwise image analysis, including groupwise registration and combined computing of cardiac, brain, and abdominal medical images. I am also interested in Bayesian and geometric deep learning with their applications in image analysis and understanding.

News

• [Feb, 2024] I will join the Imperial College London as a post-doctoral research associate.
• [Oct, 2023] I was awarded as a distinguished reviewer for IEEE TMI.
• [Oct, 2023] I was awarded the China National Scholarship 2023 for PhD students.
• [June, 2023] Our paper “BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement” is awarded Honourable Mention for the Francois Erbsmann Prize on IPMI 2023.
• [Feb, 2023] Our paper “BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement” has been accepted by IPMI 2023 (Oral Presentation). (Link)
• [Nov, 2022] Our paper “$\mathcal{X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing” has been accepted by TPAMI. (Link, Code)
• [July, 2022] Our paper “Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge” has been accepted by MedIA. (Link)