| A language model beats alphafold2 on orphans JM Michaud, A Madani, JS Fraser Nature Biotechnology, 1-2, 2022 | 19 | 2022 |
| Adapting a generative adversarial network to new data sources for image classification A Madani, M Moradi, TF Syeda-Mahmood US Patent 10,540,578, 2020 | 40 | 2020 |
| Automatic contour annotation of medical images based on correlations with medical reports A Madani, M Moradi, TF Syeda-Mahmood US Patent 10,679,345, 2020 | 31 | 2020 |
| BERTology Meets Biology: Interpreting Attention in Protein Language Models J Vig, A Madani, LR Varshney, C Xiong, R Socher, NF Rajani arXiv preprint arXiv:2006.15222, 2020 | 286 | 2020 |
| Bimodal network architectures for automatic generation of image annotation from text M Moradi, A Madani, Y Gur, Y Guo, T Syeda-Mahmood International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 32 | 2018 |
| Bottom-up graphene nanoribbon field-effect transistors PB Bennett, Z Pedramrazi, A Madani, YC Chen, DG de Oteyza, C Chen, ... Applied Physics Letters 103 (25), 253114, 2013 | 309 | 2013 |
| Bridging finite element and machine learning modeling: stress prediction of arterial walls in atherosclerosis A Madani, A Bakhaty, J Kim, Y Mubarak, MRK Mofrad Journal of biomechanical engineering 141 (8), 2019 | 69 | 2019 |
| Chest x-ray generation and data augmentation for cardiovascular abnormality classification A Madani, M Moradi, A Karargyris, T Syeda-Mahmood Medical imaging 2018: Image processing 10574, 415-420, 2018 | 204 | 2018 |
| Computational Modeling of Heart Valves: Understanding and Predicting Disease AA Bakhaty, A Madani, MRK Mofrad Advances in Heart Valve Biomechanics, 385-411, 2018 | | 2018 |
| Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease A Madani, JR Ong, A Tibrewal, MRK Mofrad NPJ digital medicine 1 (1), 1-11, 2018 | 212 | 2018 |
| Deep Extrapolation for Attribute-Enhanced Generation A Chan, A Madani, B Krause, N Naik Advances in Neural Information Processing Systems 34, 14084-14096, 2021 | 21 | 2021 |
| Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains N Naik, A Madani, A Esteva, NS Keskar, MF Press, D Ruderman, DB Agus, ... Nature Communications 11 (1), 1-8, 2020 | 193 | 2020 |
| 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), 1-9, 2021 | 870 | 2021 |
| Deep neural language modeling enables functional protein generation across families A Madani, B Krause, ER Greene, S Subramanian, BP Mohr, JM Holton, ... bioRxiv, 2021 | 58 | 2021 |
| Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequences JA Ruffolo, S Nayfach, J Gallagher, A Bhatnagar, J Beazer, R Hussain, ... bioRxiv, 2024.04. 22.590591, 2024 | 4 | 2024 |
| Designing active and thermostable enzymes with sequence-only predictive models C Fannjiang, M Olivas, ER Greene, CJ Markin, B Wallace, B Krause, ... NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022 | 1 | 2022 |
| Designing proteins with language models JA Ruffolo, A Madani Nature Biotechnology 42 (2), 200-202, 2024 | 16 | 2024 |
| Don’t throw away that linear head: Few-shot protein fitness prediction with generative models B Krause, N Naik, W Liu, A Madani | 1 | 2021 |
| Fast and Accurate View Classification of Cardiac Echocardiograms Using Deep Learning A Madani, R Arnaout, M Mofrad, R Arnaout Circulation 136 (suppl_1), A18074-A18074, 2017 | 1 | 2017 |
| Fast and accurate view classification of echocardiograms using deep learning A Madani, R Arnaout, M Mofrad, R Arnaout NPJ digital medicine 1 (1), 1-8, 2018 | 498 | 2018 |
