| 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 | 257 | 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 | 245 | 2013 |
| 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 | 139 | 2021 |
| Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation A Madani, M Moradi, A Karargyris, T Syeda-Mahmood 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 127 | 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 | 103 | 2018 |
| 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, 105741M, 2018 | 97 | 2018 |
| 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 | 89 | 2020 |
| ProGen: Language Modeling for Protein Generation A Madani, B McCann, N Naik, NS Keskar, N Anand, RR Eguchi, P Huang, ... bioRxiv, 2020 | 84 | 2020 |
| 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 | 47 | 2020 |
| Molecular mechanics of Staphylococcus aureus adhesin, CNA, and the inhibition of bacterial adhesion by stretching collagen A Madani, K Garakani, MRK Mofrad PloS one 12 (6), e0179601, 2017 | 43 | 2017 |
| Generative adversarial network medical image generation for training of a classifier A Madani, M Moradi, TF Syeda-Mahmood US Patent 10,592,779, 2020 | 26 | 2020 |
| 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 | 26 | 2019 |
| Deep neural language modeling enables functional protein generation across families A Madani, B Krause, ER Greene, S Subramanian, BP Mohr, JM Holton, ... bioRxiv, 2021 | 22 | 2021 |
| 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 | 21 | 2018 |
| 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 | 11 | 2020 |
| 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 | 10 | 2020 |
| FLIP: Benchmark tasks in fitness landscape inference for proteins C Dallago, J Mou, KE Johnston, BJ Wittmann, N Bhattacharya, S Goldman, ... | 6 | 2021 |
| Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models P Sturmfels, J Vig, A Madani, NF Rajani arXiv preprint arXiv:2012.00195, 2020 | 6 | 2020 |
| Machine learning for endoleak detection after endovascular aortic repair S Talebi, MH Madani, A Madani, A Chien, J Shen, D Mastrodicasa, ... Scientific Reports 10 (1), 1-8, 2020 | 5 | 2020 |
| Deep Extrapolation for Attribute-Enhanced Generation A Chan Guo Wei, A Madani, B Krause, N Naik Advances in Neural Information Processing Systems 34, 2021 | 2 | 2021 |
