Ali Madani
Ali Madani
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Cited by
Cited by
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
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
Large language models generate functional protein sequences across diverse families
A Madani, B Krause, ER Greene, S Subramanian, BP Mohr, JM Holton, ...
Nature Biotechnology, 1-8, 2023
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
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
ProGen: Language Modeling for Protein Generation
A Madani, B McCann, N Naik, NS Keskar, N Anand, RR Eguchi, P Huang, ...
bioRxiv, 2020
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
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
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
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
ProGen2: exploring the boundaries of protein language models
E Nijkamp, JA Ruffolo, EN Weinstein, N Naik, A Madani
Cell Systems, 2022
Generative adversarial network medical image generation for training of a classifier
A Madani, M Moradi, TF Syeda-Mahmood
US Patent 10,592,779, 2020
FLIP: Benchmark tasks in fitness landscape inference for proteins
C Dallago, J Mou, KE Johnston, BJ Wittmann, N Bhattacharya, S Goldman, ...
bioRxiv, 2021
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
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
Deep neural language modeling enables functional protein generation across families
A Madani, B Krause, ER Greene, S Subramanian, BP Mohr, JM Holton, ...
bioRxiv, 2021
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
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
Medical image classification based on a generative adversarial network trained discriminator
A Madani, M Moradi, TF Syeda-Mahmood
US Patent 10,937,540, 2021
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
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