Publications

A list of selected publications. You can find all my articles on my Google Scholar profile.

2026

• [P1] 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
• [P2] 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 agglomerative pretraining. arXiv (2026). Paper
• [J1] Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, …, Maciej A. Mazurowski. Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. Medical Image Analysis (2026). Paper
• [J2] 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

2025

• [J1] 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
• [J2] 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
• [J3] 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
• [J4] 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
• [J5] 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
• [P1] Roy Colglazier*, Jisoo Lee*, Haoyu Dong*, Hanxue Gu, Yaqian Chen, …, Maciej A. Mazurowski. SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI. arXiv (2025). Paper
• [P2] 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

2024

• [C1] 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). Paper
• [C2] 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. EMNLP (2024). Paper

2023

• [J1] 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
• [J2] Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski. Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. Medical Image Analysis (2023).
• [J3] 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).

2022

• [C1] Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski. Lightweight transformer backbone for medical object detection. MICCAI Workshop on Cancer Prevention through Early Detection (2022).
• [C2] Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski. The intrinsic manifolds of radiological images and their role in deep learning. MICCAI (2022).

2021

• [C1] Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro. Using text to teach image retrieval. CVPR (2021). Paper