| Deep learning-enabled medical computer vision A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ... NPJ digital medicine 4 (1), 5, 2021 | 743 | 2021 |
| Adversarial representation active learning A Mottaghi, S Yeung arXiv preprint arXiv:1912.09720, 2019 | 31 | 2019 |
| Obtain: Real-time beat tracking in audio signals A Mottaghi, K Behdin, A Esmaeili, M Heydari, F Marvasti arXiv preprint arXiv:1704.02216, 2017 | 12 | 2017 |
| An empirical study on activity recognition in long surgical videos Z He, A Mottaghi, A Sharghi, MA Jamal, O Mohareri Machine Learning for Health, 356-372, 2022 | 11 | 2022 |
| Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions A Mottaghi, PK Sarma, X Amatriain, S Yeung, A Kannan arXiv preprint arXiv:2011.06874, 2020 | 10 | 2020 |
| Adaptation of surgical activity recognition models across operating rooms A Mottaghi, A Sharghi, S Yeung, O Mohareri International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 7 | 2022 |
| Deep Learning for the Assessment of Facial Nerve Palsy: Opportunities and Challenges K Boochoon, A Mottaghi, A Aziz, JP Pepper Facial Plastic Surgery, 2023 | 2 | 2023 |
| AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space A Mottaghi, MA Jamal, S Yeung, O Mohareri arXiv preprint arXiv:2401.12421, 2024 | | 2024 |
| Automated Detection of Isolated REM Sleep Behavior Disorder (iRBD) During Single Night In-Lab Video-Polysomnography (PSG) Using Computer Vision G Adaimi, N Gupta, A Mottaghi, S Yeung, E Mignot, A Alahi, E During Sleep 45, A282, 2022 | | 2022 |
| Semi-supervised Segmentation of Brain MRI Images A Mottaghi, S Yeung | | |
