Zhangxing Bian

PhD Student, ECE, Johns Hopkins University

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Baltimore, MD, USA

zbian4@jhu.edu

My research focuses on medical image analysis and deep learning, with a particular emphasis on image registration, motion estimation, object detection, and inverse problems.

I received my M.S. in Electrical and Computer Engineering from the University of Michigan and my B.E. in Automation from Southeast University.

I serve as a reviewer for CVPR, Medical Image Analysis, MICCAI, Radiology, Medical Physics, Scientific Report, and ACM Multimedia.

News

Sep 15, 2025 Paper accepted at CVPR 2026: “Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors.”
Sep 01, 2025 Co-authored paper accepted at NeurIPS 2025: “Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges.”
Feb 01, 2025 Paper accepted at IPMI 2025: “Brightness-Invariant Tracking Estimation in Tagged MRI.”
Feb 15, 2024 Received Best Student Paper Award (1st place) at SPIE Medical Imaging 2024 for “Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?”
Apr 15, 2023 Paper accepted as oral presentation at MIDL 2023: “DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue.”

Selected Publications

See Google Scholar for a full list.

  1. Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors
    Zhangxing Bian, Shuwen Wei, Samuel W Remedios, and 4 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  2. A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
    Junyu Chen, Yihao Liu, Shuwen Wei, and 5 more authors
    Medical Image Analysis, 2025
  3. Brightness-invariant tracking estimation in tagged MRI
    Zhangxing Bian, Shuwen Wei, Xiao Liang, and 8 more authors
    In International Conference on Information Processing in Medical Imaging, 2025
  4. Unsupervised OCT image interpolation using deformable registration and generative models
    Shuwen Wei, Samuel W Remedios, Zhangxing Bian, and 8 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
  5. SPIE-MI
    Is registering raw tagged-MR enough for strain estimation in the era of deep learning?
    Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, and 7 more authors
    In Medical Imaging 2024: Image Processing, 2024
  6. RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs
    Anqi Feng, Zhangxing Bian, Blake E Dewey, and 3 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
  7. DRIMET: Deep registration-based 3d incompressible motion estimation in tagged-MRI with application to the tongue
    Zhangxing Bian, Fangxu Xing, Jinglun Yu, and 5 more authors
    In Medical imaging with deep learning (MIDL), 2024
  8. MICCAI-W
    Momentamorph: Unsupervised spatial-temporal registration with momenta, shooting, and correction
    Zhangxing Bian, Shuwen Wei, Yihao Liu, and 6 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
  9. SPIE-MI
    FastCod: fast brain connectivity in diffusion imaging
    Zhangxing Bian, Muhan Shao, Jiachen Zhuo, and 3 more authors
    In Medical Imaging 2023: Image Processing, 2023
  10. Learning pixel trajectories with multiscale contrastive random walks
    Zhangxing Bian, Allan Jabri, Alexei A Efros, and 1 more author
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
  11. Vascular deformation mapping for CT surveillance of thoracic aortic aneurysm growth
    Nicholas S Burris, Zhangxing Bian, Jeffrey Dominic, and 7 more authors
    Radiology, 2022
  12. Validation of a robust method for quantification of three-dimensional growth of the thoracic aorta using deformable image registration
    Zhangxing Bian, Jiayang Zhong, Jeffrey Dominic, and 3 more authors
    Medical Physics, 2022