Xuzhe Zhang 张旭哲

A lifelong learner

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I am interested in studying AI-empowered medical imaging acquisition, processing, and interpretation to transform medical research and clinical practice. My research is multidisciplinary, building on techniques in deep learning, computer vision, and medical imaging. I am interested in developing robust vision models for medical image analysis and computing. My research focused on generative models, self-/semi-supervised learning, and unsupervised domain adaptation. Recently, I have been exploring the (large) vision model and vision language model.

On the application side, I focused on deploying open-source frameworks in medical / clinical research communities, with the goal of assisting large-scale medical or clinical studies to discover quantitative image-based markers and thereby improve healthcare.

TL;DR: Computer Vision & AI in Medical Imaging = Intelligent Vision in Healthcare

news

Oct 2024 I was recognized as a IEEE TMI Distinguished Reviewer (Gold Level) in 2024, for providing 15 high-quality reviews to IEEE TMI, from Sep. 21 2023 to Oct. 13 2024! Certification
Oct 2024 I will serve as a reviewer for AISTATS 2025!
Aug 2024 I will serve as a reviewer for ICLR 2025!
May 2024 I will serve as a reviewer for NeurIPS 2024!
Feb 2024 MAPSeg has been accepted at CVPR 2024! See you in Seattle!
Nov 2023 Our recent work on self-supervised learning and unsupervised domain adaptation for heterogeneous medical image segmentation is now available on arXiv: MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. MAPSeg is the first unified UDA framework that works for centralized, federated, and test-time UDA.
May 2023 I started my 2023 summer internship at GE Healthcare as an AI/ML PhD Intern. I will continue my research in advancing medical vision!
May 2022 Our paper PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers has been accepted for publication in IEEE Transactions on Medical Imaging (IEEE-TMI). link
Mar 2022 I passed my qualifying exam and am officially a Ph.D. candidate!
Oct 2021 I help organize COVID-19 Data Hackathon (Imaging Informatics Section) in IEEE Healthcare Summit 2021.

selected publications

Please check out my Google Scholar for a complete publication list.

  1. Conference
    MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
    Zhang, Xuzhe, Wu, Yuhao, Angelini, Elsa, Li, Ang,  Guo, Jia and 8 more authors
    CVPR Jun 2024
  2. Journal
    PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers
    Zhang, Xuzhe, He, Xinzi, Guo, Jia, Ettehadi, Nabil,  Aw, Natalie and 4 more authors
    IEEE Transactions on Medical Imaging Jun 2022