Selected Publications

Selected publications are listed below. See Google Scholar for a complete and current list. An asterisk denotes equal contribution.

2026

• Haoyu Dong, Hanxue Gu, Yaqian Chen, Jichen Yang, Yuwen Chen, Maciej A. Mazurowski. Segment Anything Model 2: An application to 2D and 3D medical images. IEEE Transactions on Biomedical Engineering (2026). Paper
• Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, …, Maciej A. Mazurowski. Fréchet radiomic distance: A versatile metric for comparing medical imaging datasets. Medical Image Analysis (2026). Paper
• Yuwen Chen, Yaqian Chen, Roy Colglazier, Haoyu Dong, Hanxue Gu, Maciej A. Mazurowski, Kevin W. Southerland. LegSegNet: A public deep learning system for lower extremity CT tissue segmentation and quantification. arXiv (2026). Paper
• Yuheng Li, Yuan Gao, Haoyu Dong, Yuxiang Lai, Shansong Wang, Mojtaba Safari, James E. Baciak, Xiaofeng Yang. Universal CT Representations from Anatomy to Disease Phenotype through Stage-wise Pretraining. npj Digital Medicine (2026). Paper
• Roy Colglazier*, Jisoo Lee*, Haoyu Dong*, Hanxue Gu, Yaqian Chen, …, Maciej A. Mazurowski. SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI. Computers in Biology and Medicine (2026). Paper

2025

• Haoyu Dong, Yuwen Chen, Hanxue Gu, Nicholas Konz, Yaqian Chen, Qihang Li, Maciej A. Mazurowski. MRI-CORE: A foundation model for magnetic resonance imaging. arXiv (2025). Paper
• Yaqian Chen, Hanxue Gu, Haoyu Dong, Qihang Li, Yuwen Chen, Nicholas Konz, Lin Li, Maciej A. Mazurowski. GuidedMorph: Two-stage deformable registration for breast MRI. IEEE Journal of Biomedical and Health Informatics (2025). Paper
• Yuwen Chen, Zafer Yildiz, Qihang Li, Yaqian Chen, Haoyu Dong, Hanxue Gu, Nicholas Konz, Maciej A. Mazurowski. Accelerating volumetric medical image annotation via Short-Long Memory SAM 2. IEEE Transactions on Medical Imaging (2025). Paper
• Yaqian Chen, Lin Li, Hanxue Gu, Haoyu Dong, Derek L. Nguyen, Allan D. Kirk, Maciej A. Mazurowski, E. Shelley Hwang. Breast density in MRI: An AI-based quantification and relationship to assessment in mammography. npj Breast Cancer (2025). Paper
• Hanxue Gu*, Haoyu Dong*, Jichen Yang, Maciej A. Mazurowski. How to build the best medical image segmentation algorithm using foundation models: A comprehensive empirical study with Segment Anything Model. MELBA (2025). Paper
• Hanxue Gu, Roy Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, …, Maciej A. Mazurowski. SegmentAnyBone: A universal model that segments any bone at any location on MRI. Medical Image Analysis (2025). Paper

2024

• Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski. Medical image segmentation with InTEnt: Integrated entropy weighting for single image test-time adaptation. CVPR Workshops — DEF-AI-MIA (2024, oral). Paper
• Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu, Jie Luo, Ruiyang Ji, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang. MMedAgent: Learning to use medical tools with multi-modal agent. Findings of EMNLP (2024). Paper

Earlier selected work

• Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski. SWSSL: Sliding window-based self-supervised learning for anomaly detection in high-resolution images. IEEE Transactions on Medical Imaging (2023). Paper
• Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang. Segment Anything Model for medical image analysis: An experimental study. Medical Image Analysis (2023). Paper
• Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski. Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. Medical Image Analysis (2023). Paper
• Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro. Using text to teach image retrieval. CVPR Workshops (2021). Paper