| Segment anything model for medical image analysis: an experimental study MA Mazurowski, H Dong, H Gu, J Yang, N Konz, Y Zhang Medical Image Analysis 89, 102918, 2023 | 845 | 2023 |
| Mmedagent: Learning to use medical tools with multi-modal agent B Li, T Yan, Y Pan, Z Xu, J Luo, R Ji, S Liu, H Dong, Z Lin, Y Wang EMNLP, 2024 | 108 | 2024 |
| Anatomically-controllable medical image generation with segmentation-guided diffusion models N Konz, Y Chen, H Dong, MA Mazurowski International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 91 | 2024 |
| How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with segment anything model H Gu, H Dong, J Yang, MA Mazurowski arXiv preprint arXiv:2404.09957, 2024 | 49 | 2024 |
| Touchstone benchmark: Are we on the right way for evaluating ai algorithms for medical segmentation? PRAS Bassi, W Li, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ... Advances in Neural Information Processing Systems 37, 15184-15201, 2024 | 45 | 2024 |
| SegmentAnyBone: A universal model that segments any bone at any location on MRI H Gu, R Colglazier, H Dong, J Zhang, Y Chen, Z Yildiz, Y Chen, L Li, ... Medical Image Analysis 101, 103469, 2025 | 33 | 2025 |
| Segment anything model 2: an application to 2d and 3d medical images H Dong, H Gu, Y Chen, J Yang, Y Chen, MA Mazurowski arXiv preprint arXiv:2408.00756, 2024 | 33 | 2024 |
| A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast mri CO Lew, M Harouni, ER Kirksey, EJ Kang, H Dong, H Gu, LJ Grimm, ... Scientific reports 14 (1), 5383, 2024 | 31 | 2024 |
| Trust it or not: Confidence-guided automatic radiology report generation Y Wang, Z Lin, Z Xu, H Dong, J Luo, J Tian, Z Shi, L Huang, Y Zhang, ... Neurocomputing 578, 127374, 2024 | 21 | 2024 |
| The intrinsic manifolds of radiological images and their role in deep learning N Konz, H Gu, H Dong, MA Mazurowski International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 20 | 2022 |
| Contourdiff: Unpaired image translation with contourguided diffusion models Y Chen, N Konz, H Gu, H Dong, Y Chen, L Li, J Lee, MA Mazurowski arXiv preprint arXiv:2403.10786 2 (3), 4, 2024 | 19* | 2024 |
| SWSSL: sliding window-based self-supervised learning for anomaly detection in high-resolution images H Dong, Y Zhang, H Gu, N Konz, Y Zhang, MA Mazurowski IEEE transactions on medical imaging 42 (12), 3860-3870, 2023 | 14 | 2023 |
| Medical image segmentation with intent: Integrated entropy weighting for single image test-time adaptation H Dong, N Konz, H Gu, MA Mazurowski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 13 | 2024 |
| Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph Y Wang, Z Lin, H Dong Interpretable Machine Learning in Healthcare (IMLH), International …, 2023 | 11 | 2023 |
| Rethinking exposure bias in language modeling Y Xu, K Zhang, H Dong, Y Sun, W Zhao, Z Tu arXiv preprint arXiv:1910.11235, 2019 | 11 | 2019 |
| MRI-CORE: A Foundation Model for Magnetic Resonance Imaging H Dong, Y Chen, H Gu, N Konz, Y Chen, Q Li, MA Mazurowski arXiv preprint arXiv:2506.12186, 2025 | 9 | 2025 |
| ASTRO: An AST-assisted approach for generalizable neural clone detection Y Zhang, J Yang, H Dong, Q Wang, H Shao, K Leach, Y Huang arXiv preprint arXiv:2208.08067, 2022 | 9 | 2022 |
| A systematic study of the foreground-background imbalance problem in deep learning for object detection H Gu, H Dong, N Konz, MA Mazurowski arXiv preprint arXiv:2306.16539, 2023 | 8 | 2023 |
| Lightweight transformer backbone for medical object detection Y Zhang, H Dong, N Konz, H Gu, MA Mazurowski MICCAI Workshop on Cancer Prevention through Early Detection, 47-56, 2022 | 8* | 2022 |
| Using text to teach image retrieval H Dong, Z Wang, Q Qiu, G Sapiro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 6 | 2021 |
Maciej A. MazurowskiAssociate Professor of Biostatistics & Bioinformatics, Radiology, Comp. Sci., ECE, Duke UniversityVerified email at duke.edu
