Yan Zhuang, Ph.D.

Yan Zhuang, Ph.D.

Instructor at Icahn School of Medicine at Mount Sinai

I am a faculty instructor at the Department of Diagnostic, Molecular and Interventional Radiology and the Windreich Department of Artificial Intelligence and Human Health at Icahn School of Medicine at Mount Sinai. Previously I was a postdoctoral research fellow at the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory under the supervision of Dr. Ronald Summers at NIH Clinical Center. I got my PhD under the supervision of Dr. Gustavo Rohde from University of Virginia.

My research is medical imaging analysis, focusing on the development of large-scale datasets and innovative computational tools for radiology.

News

  1. Manuscripts accepted at MICCAI2025, AMAI@MICCAI25, and RSNA25 - 08/25
  2. Happy to help organize MIDL25 at Salt Lake City and look forwarding to MIDL26 at Taipei - 07/25
  3. We are organizing the Learning with Longitudinal Medical Images and Data workshop at MICCAI25, please check it out at this link and mark your calendar for the submission. - 06/25
  4. Manuscripts accepted at JDIM, Radiology, Pattern Recognition - 04/25
  5. Received Certificate of Merit Award at RSNA24 Scientific Poster Session - 12/24
  6. Happy to serve as a Program Chair to organize MIDL25, please check out the Call for Papers and the full paper registration deadline is 17 January 2025. - 11/24

Last update: 08/2025

Recent Publications

  1. Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Abhinav Suri, and Ronald M. Summers. "MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI." Radiology, no. 1 (2025): e241979.
  2. Ricardo Lanfredi, Yan Zhuang, Mark Finkelstein, Praveen Thoppey Srinivasan Balamuralikrishna, Luke Krembs, Brandon Khoury, Arthi Reddy, Pritam Mukherjee, Neil M. Rofsky, and Ronald M. Summers. "LEAVS: An LLM-based Labeler for Abdominal CT Supervision." early acceptance at MICCAI2025 (top 9% of the submission and oral presentation).
  3. Yan Zhuang, Abhinav Suri, Tejas Sudharshan Mathai, Brandon Khoury, and Ronald M. Summers. "A fully automated pancreatic subregion segmentation tool for CT." In Medical Imaging 2025: Computer-Aided Diagnosis, vol. 13407, pp. 464-469. SPIE, 2025.
  4. Kim, Boah, Yan Zhuang, Tejas Sudharshan Mathai, and Ronald M. Summers. " OTMorph: Unsupervised Multi-domain Abdominal Medical Image Registration Using Neural Optimal Transport." IEEE TMI (2024).
  5. Shifat-E-Rabbi, Mohammad, Naqib Sad Pathan, Shiying Li, Yan Zhuang, Abu Hasnat Mohammad Rubaiyat, and Gustavo K. Rohde. "Linear optimal transport subspaces for point set classification." Journal of Mathematical Imaging and Vision 67, no. 4 (2025): 43.
  6. Rubaiyat, Abu Hasnat Mohammad, Shiying Li, Xuwang Yin, Mohammad Shifat-E-Rabbi, Yan Zhuang, and Gustavo K. Rohde. "End-to-end signal classification in signed cumulative distribution transform space.", IEEE TPAMI (2024).

You can check my GoogleScholar for the full publication.

Models & Datasets

  1. MRISegmentator-Abdomen for T1w images: model, paper, dataset (coming soon!)
  2. Segmentation of pelvic structures in T2 MRI: dataset, paper
  3. Local sliced-wasserstein feature sets for 2D image: code, paper

Professional Service

  • Associate editor: Journal of Medical Imaging (JMI), 01 2024 – Present
  • Guest editor: JMI Special issue on Medical Imaging Theragnostics
  • Program Chair: Medical Imaging with Deep Learning (MIDL) 2025
  • TPC board member: Medical Imaging with Deep Learning (MIDL) 2023/2024
  • Machine Learning for Health 2021 (ML4H2021) program committee

Awards

  • The Eric and Wendy Schmidt AI in Human Health Fellow
  • Certificate of Merit Award at RSNA24 Scientific Poster Session
  • NIH Fellows Award for Research Excellence (FARE) Award 2024
  • NIH Visiting Fellow Award 2022/2023
  • University of Virginia Engineering Research Symposium 2021 Finalist, NSF BHI2019 Travel Award, ACM MobiHoc2015 Student Travel Grant
  • Reviewer: Journal of Medical Imaging, IEEE JBHI Journal, MIA Journal, JAMIA Journal, MICCAI2023, MIDL2023, IEEE ISBI2023, NeurIPS ML4H, NeurIPS TS4H, NeuroImage, IEEE TSC, IEEE INFOCOM, ACM IMWUT, IEEE&ACM CHASE, IEEE Access.

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