| 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 | 84 | 2021 |
| Deep learning for hierarchical severity staging of anterior cruciate ligament injuries from MRI NK Namiri, I Flament, B Astuto, R Shah, R Tibrewala, F Caliva, TM Link, ... Radiology: Artificial Intelligence 2 (4), e190207, 2020 | 53 | 2020 |
| Learning osteoarthritis imaging biomarkers from bone surface spherical encoding A Morales Martinez, F Caliva, I Flament, F Liu, J Lee, P Cao, R Shah, ... Magnetic resonance in medicine 84 (4), 2190-2203, 2020 | 49 | 2020 |
| Computer‐aided detection AI reduces interreader variability in grading hip abnormalities with MRI R Tibrewala, E Ozhinsky, R Shah, I Flament, K Crossley, R Srinivasan, ... Journal of Magnetic Resonance Imaging 52 (4), 1163-1172, 2020 | 23 | 2020 |
| MRI-based multi-task deep learning for cartilage lesion severity staging in knee osteoarthritis BAA Nunes, I Flament, R Shah, M Bucknor, T Link, V Pedoia, S Majumdar Osteoarthritis and Cartilage 27, S398-S399, 2019 | 7 | 2019 |
| K Namiri N, Shah R, Bharadwaj U, M Link T, D Bucknor M, Pedoia V, Majumdar S B Astuto, I Flament Automatic Deep Learning-assisted Detection and Grading of Abnormalities in …, 2021 | 6 | 2021 |
| Discovering knee osteoarthritis bone shape features using deep learning AGM Martinez, I Flament, F Liu, J Lee, P Cao, S Majumdar, V Pedoia Osteoarthritis and Cartilage 27, S386-S387, 2019 | 5 | 2019 |
| A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge A Desai, F Caliva, C Iriondo, N Khosravan, A Mortazi, S Jambawalikar, ... Osteoarthritis and Cartilage 28, S304-S305, 2020 | 4 | 2020 |
| Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis B Lutnick, AJ Ramon, B Ginley, C Csiszer, A Kim, I Flament, ... Journal of Pathology Informatics 14, 100337, 2023 | 3 | 2023 |
| Deep Learning Assisted Full Knee 3D MRI-Based Lesion Severity Staging BAA Nunes, I Flament, NK Namiri, R Shah, M Bucknor, T Link, V Pedoia, ... ISMRM 28th Annual Meeting and Exhibition, 2020 | 1 | 2020 |
| Hierarchical severity staging of anterior cruciate ligament injuries using deep learning with MRI images NK Namiri, I Flament, B Astuto, R Shah, R Tibrewala, F Caliva, TM Link, ... arXiv preprint arXiv:2003.09089, 2020 | 1 | 2020 |
| Incorporating Methodologies from Astronomy to Wildfire Detection in An Incident Management Platform A Foster, I Flament, NM Schaff, S Griffin, K Herleman AGU Fall Meeting Abstracts 2020, NH026-04, 2020 | | 2020 |
| Harmonization of MRI-based semi-quantitative knee osteoarthritis scoring systems I Flament, F Liu, T Link, V Pedoia, S Majumdar Osteoarthritis and Cartilage 27, S399-S400, 2019 | | 2019 |
| Semi-Quantitative Grading of the Anterior Cruciate Ligament using Deep Learning NK Namiri, I Flament, B Astuto, R Shah, R Tibrewala, F Caliva, TM Link, ... | | |
| MRI-Based Multi-Task Deep Learning for Cartilage Lesion Severity Staging in Knee Osteoarthritis B Astuto, I Flament, J Mitrani, R Shah, M Bucknor, T Link, V Pedoia, ... | | |
| A Report on the International Workshop on Osteoarthritis Imaging Segmentation Challenge: A Multi-Institute Evaluation on a Standard Dataset AD Desai, F Caliva, C Iriondo, N Khosravan, A Mortazi, S Jambawalikar, ... | | |
| Large-scale Knee Osteoarthritis Prediction from Spherical Coordinate Encoding of Bone Shape with Deep Learning Classifier AM Martinez, I Flament, F Liu, J Lee, P Cao, S Majumdar, V Pedoia | | |
Valentina PedoiaAssistant Professor @ MQIR - UCSF在 ucsf.edu 的电子邮件经过验证
