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 |
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 |
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 |
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 |
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 |
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 |
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs H Gu, H He, R Colglazier, J Axelrod, R French, MA Mazurowski Medical Imaging with Deep Learning, 119-133, 2024 | | 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 |
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation H Gu, R Colglazier, J Zhang, R Lark, B Alman, MA Mazurowski Medical Imaging with Deep Learning, 2024 | | 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 | | 2024 |
Cut your annotation cost: An empirical study on the use of weak, noisy, and SAM-generated annotations for segmentation network training Y Zhang, S Zhao, H Gu, MA Mazurowski arXiv preprint arXiv:2312.10600, 2023 | | 2023 |
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 | 301 | 2023 |
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 |
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 | | 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 |
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 |
Check for Lightweight Transformer Backbone Y Zhang, H Dong¹, N Konz, H Gu, MA Mazurowski Cancer Prevention Through Early Detection: First International Workshop …, 2022 | | 2022 |
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 |