Xuzhe Zhang 张旭哲
A lifelong learner
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 |
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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.
- ConferenceMAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCVPR Jun 2024
- JournalPTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on TransformersIEEE Transactions on Medical Imaging Jun 2022