| Use of 2D U-Net convolutional neural networks for automated cartilage and meniscus segmentation of knee MR imaging data to determine relaxometry and morphometry B Norman, V Pedoia, S Majumdar Radiology 288 (1), 177-185, 2018 | 436 | 2018 |
| Applying densely connected convolutional neural networks for staging osteoarthritis severity from plain radiographs B Norman, V Pedoia, A Noworolski, TM Link, S Majumdar Journal of digital imaging 32 (3), 471-477, 2019 | 161 | 2019 |
| 3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate … V Pedoia, B Norman, SN Mehany, MD Bucknor, TM Link, S Majumdar Journal of Magnetic Resonance Imaging 49 (2), 400-410, 2019 | 151 | 2019 |
| Automatic hip fracture identification and functional subclassification with deep learning JD Krogue, KV Cheng, KM Hwang, P Toogood, EG Meinberg, EJ Geiger, ... Radiology: Artificial Intelligence 2 (2), e190023, 2020 | 149 | 2020 |
| Fully automatic analysis of the knee articular cartilage T1ρ relaxation time using voxel‐based relaxometry V Pedoia, X Li, F Su, N Calixto, S Majumdar Journal of Magnetic Resonance Imaging 43 (4), 970-980, 2016 | 120 | 2016 |
| Deep learning predicts total knee replacement from magnetic resonance images AA Tolpadi, JJ Lee, V Pedoia, S Majumdar Scientific reports 10 (1), 6371, 2020 | 116 | 2020 |
| Cartilage T1ρ and T2 relaxation times: longitudinal reproducibility and variations using different coils, MR systems and sites X Li, V Pedoia, D Kumar, J Rivoire, C Wyatt, D Lansdown, K Amano, ... Osteoarthritis and cartilage 23 (12), 2214-2223, 2015 | 115 | 2015 |
| Distance map loss penalty term for semantic segmentation F Caliva, C Iriondo, AM Martinez, S Majumdar, V Pedoia arXiv preprint arXiv:1908.03679, 2019 | 111 | 2019 |
| Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort V Pedoia, J Lee, B Norman, TM Link, S Majumdar Osteoarthritis and cartilage 27 (7), 1002-1010, 2019 | 102 | 2019 |
| Deep learning for lesion detection, progression, and prediction of musculoskeletal disease R Kijowski, F Liu, F Caliva, V Pedoia Journal of magnetic resonance imaging 52 (6), 1607-1619, 2020 | 94 | 2020 |
| Gait Characteristics Associated With a Greater Increase in Medial Knee Cartilage T1ρ and T2 Relaxation Times in Patients Undergoing Anterior Cruciate Ligament … HL Teng, D Wu, F Su, V Pedoia, RB Souza, CB Ma, X Li The American journal of sports medicine 45 (14), 3262-3271, 2017 | 93 | 2017 |
| Segmentation of joint and musculoskeletal tissue in the study of arthritis V Pedoia, S Majumdar, TM Link Magnetic Resonance Materials in Physics, Biology and Medicine 29, 207-221, 2016 | 91 | 2016 |
| Automatic deep learning–assisted detection and grading of abnormalities in knee MRI studies B Astuto, I Flament, N K. Namiri, R Shah, U Bharadwaj, T M. Link, ... Radiology: Artificial Intelligence 3 (3), e200165, 2021 | 87 | 2021 |
| Development and validation of a multitask deep learning model for severity grading of hip osteoarthritis features on radiographs CE von Schacky, JH Sohn, F Liu, E Ozhinsky, PM Jungmann, L Nardo, ... Radiology 295 (1), 136-145, 2020 | 86 | 2020 |
| Analysis of the articular cartilage T1ρ and T2 relaxation times changes after ACL reconstruction in injured and contralateral knees and relationships with bone shape V Pedoia, F Su, K Amano, Q Li, CE McCulloch, RB Souza, TM Link, ... Journal of Orthopaedic Research 35 (3), 707-717, 2017 | 85 | 2017 |
| Three-dimensional MRI-based statistical shape model and application to a cohort of knees with acute ACL injury V Pedoia, DA Lansdown, M Zaid, CE McCulloch, R Souza, CB Ma, X Li Osteoarthritis and cartilage 23 (10), 1695-1703, 2015 | 83 | 2015 |
| Abnormal biomechanics at 6 months are associated with cartilage degeneration at 3 years after anterior cruciate ligament reconstruction T Shimizu, MA Samaan, MS Tanaka, V Pedoia, RB Souza, X Li, CB Ma Arthroscopy: The Journal of Arthroscopic & Related Surgery 35 (2), 511-520, 2019 | 76 | 2019 |
| Frontal plane knee mechanics and early cartilage degeneration in people with anterior cruciate ligament reconstruction: a longitudinal study D Kumar, F Su, D Wu, V Pedoia, L Heitkamp, CB Ma, RB Souza, X Li The American journal of sports medicine 46 (2), 378-387, 2018 | 72 | 2018 |
| The association between MR T1ρ and T2 of cartilage and patient-reported outcomes after ACL injury and reconstruction F Su, V Pedoia, HL Teng, M Kretzschmar, BC Lau, CE McCulloch, ... Osteoarthritis and Cartilage 24 (7), 1180-1189, 2016 | 72 | 2016 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 66 | 2021 |
Thomas M. LinkProfessor of Radiology, UCSFVerified email at ucsf.edu