| Monarch: Expressive structured matrices for efficient and accurate training T Dao, B Chen, NS Sohoni, A Desai, M Poli, J Grogan, A Liu, A Rao, ... International Conference on Machine Learning, 4690-4721, 2022 | 104 | 2022 |
| Skm-tea: A dataset for accelerated mri reconstruction with dense image labels for quantitative clinical evaluation AD Desai, AM Schmidt, EB Rubin, CM Sandino, MS Black, V Mazzoli, ... arXiv preprint arXiv:2203.06823, 2022 | 71 | 2022 |
| 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 | 65 | 2021 |
| Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers AS Chaudhari, KJ Stevens, JP Wood, AK Chakraborty, EK Gibbons, ... Journal of Magnetic Resonance Imaging 51 (3), 768-779, 2020 | 62 | 2020 |
| Noise2Recon: Enabling SNR‐robust MRI reconstruction with semi‐supervised and self‐supervised learning AD Desai, BM Ozturkler, CM Sandino, R Boutin, M Willis, S Vasanawala, ... Magnetic Resonance in Medicine 90 (5), 2052-2070, 2023 | 46* | 2023 |
| Technical considerations for semantic segmentation in MRI using convolutional neural networks AD Desai, GE Gold, BA Hargreaves, AS Chaudhari arXiv preprint arXiv:1902.01977, 2019 | 37 | 2019 |
| Opportunistic Assessment of Ischemic Heart Disease Risk Using Abdominopelvic Computed Tomography and Medical Record Data: a Multimodal Explainable Artificial Intelligence Approach JMZ Chaves, AS Chaudhari, AL Wentland, AD Desai, I Banerjee, ... medRxiv, 2021 | 36* | 2021 |
| Using computer vision to automate hand detection and tracking of surgeon movements in videos of open surgery M Zhang, X Cheng, D Copeland, A Desai, MY Guan, GA Brat, S Yeung AMIA Annual symposium proceedings 2020, 1373, 2021 | 33 | 2021 |
| Vortex: Physics-driven data augmentations using consistency training for robust accelerated mri reconstruction AD Desai, B Gunel, BM Ozturkler, H Beg, S Vasanawala, BA Hargreaves, ... arXiv preprint arXiv:2111.02549, 2021 | 30 | 2021 |
| Generalizability of deep learning segmentation algorithms for automated assessment of cartilage morphology and MRI relaxometry AM Schmidt, AD Desai, LE Watkins, HA Crowder, MS Black, V Mazzoli, ... Journal of Magnetic Resonance Imaging 57 (4), 1029-1039, 2023 | 28 | 2023 |
| Group ISCW AD Desai The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation …, 2021 | 25 | 2021 |
| DOSMA: A deep-learning, open-source framework for musculoskeletal MRI analysis AD Desai, M Barbieri, V Mazzoli, E Rubin, MS Black, LE Watkins, GE Gold, ... Proc 27th Annual Meeting ISMRM, Montreal, 1135, 2019 | 25 | 2019 |
| Improving data-efficiency and robustness of medical imaging segmentation using inpainting-based self-supervised learning J Dominic, N Bhaskhar, AD Desai, A Schmidt, E Rubin, B Gunel, GE Gold, ... Bioengineering 10 (2), 207, 2023 | 15 | 2023 |
| SSFD: Self-supervised feature distance as an MR image reconstruction quality metric PM Adamson, B Gunel, J Dominic, AD Desai, D Spielman, S Vasanawala, ... NeurIPS 2021 workshop on deep learning and inverse problems, 2021 | 15 | 2021 |
| Rapid volumetric gagCEST imaging of knee articular cartilage at 3 T: evaluation of improved dynamic range and an osteoarthritic population LE Watkins, EB Rubin, V Mazzoli, SD Uhlrich, AD Desai, M Black, GK Ho, ... NMR in Biomedicine 33 (8), e4310, 2020 | 15 | 2020 |
| Effects of the competitive season and off‐season on knee articular cartilage in collegiate basketball players using quantitative MRI: A multicenter study EB Rubin, V Mazzoli, MS Black, K Young, AD Desai, MF Koff, A Sreedhar, ... Journal of Magnetic Resonance Imaging 54 (3), 840-851, 2021 | 14 | 2021 |
| Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation F Santini, J Wasserthal, A Agosti, X Deligianni, KR Keene, HE Kan, ... arXiv preprint arXiv:2302.06352, 2023 | 13 | 2023 |
| Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging AD Desai, C Peng, L Fang, D Mukherjee, A Yeung, SJ Jaffe, JB Griffin, ... Biomedical optics express 9 (12), 6038-6052, 2018 | 9 | 2018 |
| Comp2comp: Open-source body composition assessment on computed tomography L Blankemeier, A Desai, JMZ Chaves, A Wentland, S Yao, E Reis, ... arXiv preprint arXiv:2302.06568, 2023 | 8 | 2023 |
| Using deep feature distances for evaluating MR image reconstruction quality PM Adamson, AD Desai, J Dominic, C Bluethgen, JP Wood, AB Syed, ... NeurIPS 2023 workshop on deep learning and inverse problems, 2023 | 7 | 2023 |
Sina FarsiuAnderson-Rupp Professor of Biomedical Engineering and Professor of Ophthalmology, Dukeایمیل تأیید شده در duke.edu