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 | 291 | 2023 |
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 | 11 | 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 | 10 | 2023 |
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 |
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 | 7 | 2022 |
Segment anything model 2: an application to 2d and 3d medical images H Dong, H Gu, Y Chen, J Yang, MA Mazurowski arXiv preprint arXiv:2408.00756, 2024 | 6 | 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 | 6 | 2024 |
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 |
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 | 4 | 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 | 2 | 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, 2023 | 2 | 2023 |
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 | 2 | 2022 |
Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing. arXiv 2022 H Gu, K Li, RJ Colglazier, J Yang, M Lebhar, J O’Donnell, WA Jiranek, ... arXiv preprint arXiv:2203.08914, 0 | 2 | |
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 | 1 | 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 | 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 |
Correction to: 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 | 1 | 2022 |
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection Y Zhang, H Dong, N Konz, H Gu, MA Mazurowski CoRR, 2021 | 1 | 2021 |
Rethinking Perceptual Metrics for Medical Image Translation N Konz, Y Chen, H Gu, H Dong, MA Mazurowski arXiv preprint arXiv:2404.07318, 2024 | | 2024 |
Deep learning automates Cobb angle measurement compared with multi-expert observers K Li, H Gu, R Colglazier, R Lark, E Hubbard, R French, D Smith, J Zhang, ... arXiv preprint arXiv:2403.12115, 2024 | | 2024 |