Abid, Abubakar

A primer on deep learning in genomics

Zou, J., Huss, M., Abid, A., Mohammadi, P., Torkamani, A., & Telenti, A. (2019) · Nature Genetics

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 891

Interpretation of Neural Networks Is Fragile

Ghorbani, A., Abid, A., & Zou, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 765

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Deep learning interpretation of echocardiograms

Ghorbani, A., Ouyang, D., Abid, A., He, B., Chen, J. H., Harrington, R. A., Liang, D. H., Ashley, E. A., & Zou, J. Y. (2020) · npj Digital Medicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 518

Integrating spatial gene expression and breast tumour morphology via deep learning

He, B., Bergenstråhle, L., Stenbeck, L., Abid, A., Andersson, A., Borg, Å., Maaskola, J., Lundeberg, J., & Zou, J. (2020) · Nature Biomedical Engineering

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 507

Persistent Anti-Muslim Bias in Large Language Models

Abid, A., Farooqi, M., & Zou, J. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 476

Federated benchmarking of medical artificial intelligence with MedPerf

Karargyris, A., Umeton, R., Sheller, M. J., Aristizabal, A., George, J., Wuest, A., Pati, S., Kassem, H., Zenk, M., Baid, U., et al. (2023) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationPrivacy-Preserving Technologies in Data

Cited by 188

Development and clinical evaluation of an artificial intelligence support tool for improving telemedicine photo quality

Vodrahalli, K., Ko, J., Chiou, A. S., Novoa, R., Abid, A., Phung, M., Yekrang, K., Petrone, P., Zou, J., & Daneshjou, R. (2023) · JAMA Dermatology

Telemedicine and Telehealth ImplementationArtificial Intelligence in Healthcare and Education

Cited by 30