Dr Xinzhe Luo

Imperial College London, London, United Kingdom.

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Welcome! This is Xinzhe. I am a postdoctoral researcher at the Department of Electrical and Electronic Engineering & I-X, Imperial College London, working with Dr. Chen Qin and Dr. Yingzhen Li. Previously, I obtained my BSc degree in Mathematics (2019) and PhD degree in Statistics (2024) from Fudan University. My research interests involve the interdisciplinary area of medical imaging, statistics, artificial intelligence, and mathematics. Currently, I am focusing on trustworthy AI for MRI reconstruction and inverse problems.

news

Sep 09, 2025 One paper accepted by IEEE TPAMI: “Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration” (Link)
Feb 26, 2025 One paper accepted by CVPR 2025: “STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification” (Link)
Feb 13, 2025 One paper accepted by IPMI 2025: “Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching” (Oral Presentation). (Link)

selected publications

  1. luo2020mvmm.webp
    MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
    Xinzhe Luo and Xiahai Zhuang
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
  2. luo2023xmetric.png
    X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing
    Xinzhe Luo and Xiahai Zhuang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  3. wang2023bingo.webp
    BInGo: Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement
    Xin Wang*, Xinzhe Luo*, and Xiahai Zhuang
    In International Conference on Information Processing in Medical Imaging (IPMI), 2023
  4. luo2025unsupervised.webp
    Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching
    Xinzhe Luo, Yingzhen Li, and Chen Qin
    In International Conference on Information Processing in Medical Imaging (IPMI), 2025
  5. luo2025bayesian.png
    Bayesian unsupervised disentanglement of anatomy and geometry for deep groupwise image registration
    Xinzhe Luo*, Xin Wang*, Linda Shapiro, and 3 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025