| 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 | 475 | 2023 |
| 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 | 14 | 2024 |
| A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ... JAMA network open 6 (2), e230524-e230524, 2023 | 14 | 2023 |
| FDU-net: deep learning-based three-dimensional diffuse optical image reconstruction B Deng, H Gu, H Zhu, K Chang, KV Hoebel, JB Patel, J Kalpathy-Cramer, ... IEEE Transactions on Medical Imaging 42 (8), 2439-2450, 2023 | 13 | 2023 |
| 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 | 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 | 11 | 2022 |
| 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 | 10 | 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, 103469, 2025 | 8 | 2025 |
| Deep learning enabled high-speed image reconstruction for breast diffuse optical tomography B Deng, H Gu, SA Carp Optical Tomography and Spectroscopy of Tissue XIV 11639, 116390B, 2021 | 8 | 2021 |
| Knee arthritis severity measurement using deep learning: a publicly available algorithm with a multi-institutional validation showing radiologist-level performance H Gu, K Li, RJ Colglazier, J Yang, M Lebhar, J O'Donnell, WA Jiranek, ... arXiv preprint arXiv:2203.08914, 2022 | 6* | 2022 |
| 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 | 5 | 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 | 5 | 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 | 4 | 2024 |
| How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model Y Zhang, S Zhao, H Gu, MA Mazurowski Journal of Imaging Informatics in Medicine, 2025 | 3 | 2025 |
| 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, ... arXiv preprint arXiv:2411.03670, 2024 | 3 | 2024 |
| SegmentWithSAM: 3D Slicer Extension for Segment Anything Model (SAM) Z Yildiz, H Gu, J Zhang, J Yang, MA Mazurowski Medical Imaging with Deep Learning, 2024 | 2 | 2024 |
| 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 | 2 | 2024 |
| 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 |
| 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 | 1 | 2023 |
Maciej A. MazurowskiAssociate Professor of Radiology, Computer Science, Electrical & Comp. Eng., and Biostat.& Bioinf.Verified email at duke.edu