| 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 | 170 | 2023 |
| Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists A Swiecicki, N Li, J O'Donnell, N Said, J Yang, RC Mather, WA Jiranek, ... Computers in biology and medicine 133, 104334, 2021 | 49 | 2021 |
| Thyroid nodules on ultrasound in children and young adults: comparison of diagnostic performance of radiologists' impressions, ACR TI-RADS, and a deep learning algorithm J Yang, LC Page, L Wagner, B Wildman-Tobriner, L Bisset, D Frush, ... American Journal of Roentgenology 220 (3), 408-417, 2023 | 12 | 2023 |
| GridTracer: Automatic mapping of power grids using deep learning and overhead imagery B Huang, J Yang, A Streltsov, K Bradbury, LM Collins, JM Malof IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 9 | 2021 |
| 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 | 8 | 2023 |
| Data from the breast cancer screening–digital breast tomosynthesis (bcs-dbt) M Buda, A Saha, R Walsh, S Ghate, N Li, A Święcicki, JY Lo, J Yang, ... Data from The Cancer Imaging Archive, 2020 | 8 | 2020 |
| Breast Cancer Screening—Digital Breast Tomosynthesis (BCS-DBT)[Data set] M Buda, A Saha, R Walsh, S Ghate, N Li, A Swiecicki, JY Lo, J Yang, ... Cancer Imaging Arch, 2020 | 5 | 2020 |
| Deep learning for classification of thyroid nodules on ultrasound: validation on an independent dataset J Weng, B Wildman-Tobriner, M Buda, J Yang, LM Ho, BC Allen, ... Clinical Imaging 99, 60-66, 2023 | 4 | 2023 |
| 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 | 3 | 2024 |
| 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 | |
| Designing synthetic overhead imagery to match a target geographic region: Preliminary results training deep learning models V Nair, P Rhee, J Yang, B Huang, K Bradbury, JM Malof IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 1 | 2020 |
| 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 | | 2024 |
Maciej A. MazurowskiAssociate Professor of Radiology, Computer Science, Electrical & Comp. Eng., and Biostat.& Bioinf.Verified email at duke.edu
