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 at NIH Clinical Center. I got my PhD 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. Happy to help organize MIDL25, please check out the Call for Papers and the full paper registration deadline is 17 January 2025. - 11/24
2. Happy to serve as a TPC reviewer for ISBI2025 -10/24
3. We are organizing a special section on theranostics for the Journal of Medical Imaging SPIE, please check it out at this link and mark your calendar for the submission opening in mid-November. -09/24
4. MRISegmentator-Abdomen for T1w images: model, paper, dataset (coming soon!) - 07/24
5. Received NIH Fellows Award for Research Excellence (FARE) Award 2025 - 07/24
6. Manuscripts accepted at RSNA24, Radiology, IEEE TMI - 07/24
7. Papers submitted to Radiology, Medical Physics, npj Digital Medicine, Journal of Mathematical Imaging and Vision - 06/24
8. Papers accepted at CMIG and IEEE TPAMI - 01/24

^{Last update: 11/2024}

Preprints

1. Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, and Ronald M. Summers. " MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. " arXiv preprint arXiv:2405.05944 (2024). model, dataset (coming soon!)
2. Hassan, Mohamed Abul, Yan Zhuang, Mohammad Shifat-E-Rabbi, Chad Aldridge, Andrew Southerland, and Gustavo Rohde. " Augmenting Early Stroke Diagnosis With an Eye-Tracker." Research square preprint (2024).

Recent Publications

1. 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).
2. 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 and Awards

• Associate editor: Journal of Medical Imaging (JMI), 01 2024 – Present
• Guest editor: JMI Special issue on Medical Imaging Theragnostics
• TPC board member: Medical Imaging with Deep Learning (MIDL) 2023/2024
• Machine Learning for Health 2021 (ML4H2021) program committee
• NIH Fellows Award for Research Excellence (FARE) Award 2024
• NIH Visiting Fellow Award
• 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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