Xiaoran Zhang

Xiaoran Zhang

Biography

I am a fourth-year Ph.D. student at Yale University, where I am fortunately advised by Prof. James Duncan. My committee members include Prof. Alex Wong, Prof. Lawrence Staib and Dr. Albert Sinusas. My current research mainly focuses on computer vision, machine learning, and medical image anlaysis. I obtained my M.S. in Electrical and Computer Engineering at UCLA working at The Ozcan Research Group. I was fortunate to be a Mitacs visiting student in Servier Virtual Cardiac Centre at University of Alberta in summer 2018, advised by Prof. Kumaradevan Punithakumar and Prof. Michelle Noga.

News


  • [pinned] I am actively looking for a research internship in summer 2025. Please feel free to reach out if there is a potential fit. Thanks very much!
  • [08/24] Super excited to share that our ECCV paper was selected as an oral presentation!!!
  • [07/24] Super excited to share that one first-authored paper is accepted by ECCV 2024!!! Huge thanks to my collaborators!
  • [06/24] One first-authored paper is accepted by MICCAI 2024. Thanks to my collaborators!
  • [06/24] I started my summer research internship with the Medical AI team at United Imaging Intelligence in Burlington, MA. Thanks to my hosts!
  • [12/23] I am actively looking for a research internship in the summer of 2024. Please feel free to reach out! Thanks!
  • [12/23] I will attend NeurIPS in New Orleans and present our work on MedNeurIPS workshop. Feel free to drop me a message anytime! Excited to meet new people!
  • [11/23] Passed my area exam. I am now a Ph.D. candidate.
  • [08/22] Very happy to be recognized as Bronze Distinguished Reviewer by IEEE Transactions on Medical Imaging (IF=11.037).
  • [08/22] One paper accepted by MICCAI-STACOM 2022.
  • [07/22] One paper accepted by MICCAI-DeCaF 2022.
  • [11/21] One paper accepted by Light: Science & Applications (IF=17.78).
  • [08/21] I started my Ph.D. at Yale.
  • [03/21] One paper accepted by Computers in Biology and Medicine (IF=6.698).
  • [11/20] Our MedIA paper is now officially online at [here]!!!
  • [11/20] Super excited to receive the acceptance decision for our MedIA (IF=13.828) paper! Thanks so much to Prof. Kumar and Michelle, the editor and the anonymous reviewers!
  • [08/20] Our new paper (my after-school "leisure activity") is accepted by MyoPS 2020 Challenge in conjunction with MICCAI and STACOM 2020.

    • Selected publications

    (Google scholar full list)




    Adaptive Correspondence Scoring for Unsupervised Medical Image Registration
    European Conference on Computer Vision (ECCV) 2024 (Oral, top 3%).
    Xiaoran Zhang, John C. Stendahl, Lawrence Staib, Albert J. Sinusas, Alex Wong, James S. Duncan
    Project page Paper Code Poster Slides







    Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024.
    Medical Imaging Meets NeurIPS (MedNeurIPS) Workshop 2023 (Oral, <10%).
    Xiaoran Zhang*, Daniel H. Pak*, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence Staib, Albert J. Sinusas, Alex Wong, James S. Duncan
    Project page Paper Code



    Learning correspondences of cardiac motion from images using biomechanics-informed modeling
    MICCAI-Statistical Atlases and Computational Modelling of the Heart (STACOM) Workshop 2022 (Oral).
    Xiaoran Zhang, Chenyu You, Shawn Ahn, Juntang Zhuang, Lawrence Staib, James Duncan
    Paper Code Video Poster Slides



    Biopsy-free in vivo virtual histology of skin using deep learning
    Light: Science & Applications 2021. IF=19.4.
    Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip O. Scumpia, Adyogan Ozcan
    Paper





    Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter
    Medical Image Analysis (MedIA) 2020. IF=10.9.
    Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar
    Paper





    Fully Automated Deep Learning-based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences
    MICCAI-Statistical Atlases and Computational Modelling of the Heart (STACOM) Workshop 2020.
    Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar
    Code Paper Preprint Video Poster Slide



    Services


    Journal Reviewer:

  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Biomedical Engineering
  • Neurocomputing
  • BMC Medical Imaging
  • BMC Medical Informatics and Decision
  • IEEE/ASME Transactions on Mechatronics
  • IEEE Transactions on Industrial Electronics

    • Conference Reviewer:

  • European Conference on Computer Vision (ECCV)
  • International Conference on Machine Learning (ICML)
  • International Conference on Learning Representations (ICLR)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
  • International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)


    • Contact

    Email: xiaoran.zhang[at]yale.edu