Publications

2026

1. CVPR

   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

   arXiv Bib

   @inproceedings{bian2026cvpr,
     title = {Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors},
     author = {Bian, Zhangxing and Wei, Shuwen and Remedios, Samuel W and Chen, Junyu and Carass, Aaron and Dewey, Blake E and Prince, Jerry L},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2026},
   }

2025

1. MedIA

   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

   Bib HTML

   @article{chen2025survey,
     title = {A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond},
     author = {Chen, Junyu and Liu, Yihao and Wei, Shuwen and Bian, Zhangxing and Subramanian, Shalini and Carass, Aaron and Prince, Jerry L and Du, Yong},
     journal = {Medical Image Analysis},
     volume = {100},
     pages = {103385},
     year = {2025},
     publisher = {Elsevier}
   }

2. IPMI

   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

   arXiv Bib HTML

   @inproceedings{bian2025brightness,
     title = {Brightness-invariant tracking estimation in tagged MRI},
     author = {Bian, Zhangxing and Wei, Shuwen and Liang, Xiao and Lu, Yuan-Chiao and Remedios, Samuel W and Xing, Fangxu and Woo, Jonghye and Pham, Dzung L and Carass, Aaron and Bayly, Philip V and others},
     booktitle = {International Conference on Information Processing in Medical Imaging},
     pages = {375--389},
     year = {2025},
     organization = {Springer},
   }

3. MICCAI

   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

   Bib HTML

   @inproceedings{wei2025unsupervised,
     title = {Unsupervised OCT image interpolation using deformable registration and generative models},
     author = {Wei, Shuwen and Remedios, Samuel W and Bian, Zhangxing and Wang, Shimeng and Chen, Junyu and Liu, Yihao and Jedynak, Bruno and Liu, Tin YA and Saidha, Shiv and Calabresi, Peter A and others},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
     pages = {661--671},
     year = {2025},
     organization = {Springer},
   }

2024

1. 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

   Best Student Paper Award arXiv Bib

   Best Student Paper Award

   @inproceedings{bian2024registering,
     title = {Is registering raw tagged-MR enough for strain estimation in the era of deep learning?},
     author = {Bian, Zhangxing and Alshareef, Ahmed and Wei, Shuwen and Chen, Junyu and Wang, Yuli and Woo, Jonghye and Pham, Dzung L and Zhuo, Jiachen and Carass, Aaron and Prince, Jerry L},
     booktitle = {Medical Imaging 2024: Image Processing},
     volume = {12926},
     pages = {79--85},
     year = {2024},
     organization = {SPIE},
   }

2. MICCAI

   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

   arXiv Bib

   @inproceedings{feng2024ratnus,
     title = {RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs},
     author = {Feng, Anqi and Bian, Zhangxing and Dewey, Blake E and Colinco, Alexa Gail and Zhuo, Jiachen and Prince, Jerry L},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
     pages = {157--169},
     year = {2024},
     organization = {Springer},
   }

3. MIDL

   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

   Oral arXiv Bib

   Oral

   @inproceedings{bian2024drimet,
     title = {DRIMET: Deep registration-based 3d incompressible motion estimation in tagged-MRI with application to the tongue},
     author = {Bian, Zhangxing and Xing, Fangxu and Yu, Jinglun and Shao, Muhan and Liu, Yihao and Carass, Aaron and Woo, Jonghye and Prince, Jerry L},
     booktitle = {Medical imaging with deep learning (MIDL)},
     pages = {134--150},
     year = {2024},
     organization = {PMLR},
   }

2023

1. 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

   arXiv Bib

   @inproceedings{bian2023momentamorph,
     title = {Momentamorph: Unsupervised spatial-temporal registration with momenta, shooting, and correction},
     author = {Bian, Zhangxing and Wei, Shuwen and Liu, Yihao and Chen, Junyu and Zhuo, Jiachen and Xing, Fangxu and Woo, Jonghye and Carass, Aaron and Prince, Jerry L},
     booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
     pages = {24--34},
     year = {2023},
     organization = {Springer},
   }

2. 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

   Best Student Paper Award Runner-up arXiv Bib

   Best Student Paper Award Runner-up

   @inproceedings{bian2023fastcod,
     title = {FastCod: fast brain connectivity in diffusion imaging},
     author = {Bian, Zhangxing and Shao, Muhan and Zhuo, Jiachen and Gullapalli, Rao and Carass, Aaron and Prince, Jerry},
     booktitle = {Medical Imaging 2023: Image Processing},
     volume = {12464},
     pages = {129--133},
     year = {2023},
     organization = {SPIE},
   }

2022

1. CVPR

   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

   arXiv Bib

   @inproceedings{bian2022learning,
     title = {Learning pixel trajectories with multiscale contrastive random walks},
     author = {Bian, Zhangxing and Jabri, Allan and Efros, Alexei A and Owens, Andrew},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
     pages = {6508--6519},
     year = {2022},
   }

2. Radiology

   Vascular deformation mapping for CT surveillance of thoracic aortic aneurysm growth

   Nicholas S Burris, Zhangxing Bian, Jeffrey Dominic, and 7 more authors

   Radiology, 2022

   Bib HTML

   @article{burris2022vascular,
     title = {Vascular deformation mapping for CT surveillance of thoracic aortic aneurysm growth},
     author = {Burris, Nicholas S and Bian, Zhangxing and Dominic, Jeffrey and Zhong, Jianyang and Houben, Ignas B and van Bakel, Theodorus MJ and Patel, Himanshu J and Ross, Brian D and Christensen, Gary E and Hatt, Charles R},
     journal = {Radiology},
     volume = {302},
     number = {1},
     pages = {218--225},
     year = {2022},
     publisher = {Radiological Society of North America},
   }

3. Med. Phys.

   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

   Bib HTML

   @article{bian2022validation,
     title = {Validation of a robust method for quantification of three-dimensional growth of the thoracic aorta using deformable image registration},
     author = {Bian, Zhangxing and Zhong, Jiayang and Dominic, Jeffrey and Christensen, Gary E and Hatt, Charles R and Burris, Nicholas S},
     journal = {Medical Physics},
     volume = {49},
     number = {4},
     pages = {2514--2530},
     year = {2022},
     publisher = {Wiley Online Library},
   }