| 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 | 406 | 2023 |
| 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 | 15 | 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 | 11 | 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 | 10 | 2022 |
| 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 | 9 | 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 | 9 | 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 | 9 | 2024 |
| 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 | 8 | 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, ... arXiv preprint arXiv:2401.12974, 2024 | 7 | 2024 |
| Rethinking exposure bias in language modeling Y Xu, K Zhang, H Dong, Y Sun, W Zhao, Z Tu arXiv preprint arXiv:1910.11235, 2019 | 7 | 2019 |
| 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 | 6* | 2022 |
| Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph Y Wang, Z Lin, H Dong Interpretable Machine Learning in Healthcare (IMLH), International …, 2023 | 5 | 2023 |
| 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 | 4 | 2021 |
| 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, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| Contourdiff: Unpaired image translation with contour-guided diffusion models Y Chen, N Konz, H Gu, H Dong, Y Chen, L Li, J Lee, MA Mazurowski arXiv preprint arXiv:2403.10786, 2024 | 2 | 2024 |
| Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion N Konz, H Dong, MA Mazurowski Medical Image Analysis 87, 102836, 2023 | 2 | 2023 |
| Rethinking Perceptual Metrics for Medical Image Translation N Konz, Y Chen, H Gu, H Dong, MA Mazurowski arXiv preprint arXiv:2404.07318, 2024 | 1 | 2024 |
| SAM-Geo3D: A Geometrical Method to Extend SAM to 3D J Zhang, Z Yildiz, H Gu, H Dong, MA Mazurowski Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
| RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications N Konz, Y Chen, H Gu, H Dong, Y Chen, MA Mazurowski arXiv preprint arXiv:2412.01496, 2024 | | 2024 |
Maciej A. MazurowskiAssociate Professor of Radiology, Computer Science, Electrical & Comp. Eng., and Biostat.& Bioinf.Verified email at duke.edu
