Author

Abdul Rahman Diab

Institution: Dana-Farber Cancer Institute

Observed institutions: Simon Fraser University, University of Washington, Fred Hutch Cancer Center, Dana-Farber Cancer Institute

ORCID: 0009-0007-2273-2658

Observed ORCID: 0009-0007-2273-2658

OpenAlex ID: A5016821064

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

2021 · William Lotter, Abdul Rahman Diab, et al. · Nature Medicine · 420

How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations

2025 · Rohan Singh, Monika Bapna, et al. · npj Digital Medicine · 57

Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists

2024 · Jiye G. Kim, Bryan Haslam, et al. · Radiology Artificial Intelligence · 26

Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical Devices

2025 · Abdul Rahman Diab, William Lotter · Radiology Artificial Intelligence · 4

Rigor and transparency in FDA authorization of AI-enabled medical devices: a critical distinction

2025 · Abdul Rahman Diab, William Lotter · 2

Integrative chromatin state annotation of 234 human ENCODE4 cell types using Segway reveals disease drivers

2023 · Marjan Farahbod, Abdul Rahman Diab, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2

Pan-cancer estimation of prognostic immune biomarkers from histopathology using artificial intelligence

2026 · Yijun Li, Abdul Rahman Diab, et al. · bioRxiv (Cold Spring Harbor Laboratory)

CANDI: self-supervised, confidence-aware denoising imputation of genomic data

2025 · Mehdi Foroozandeh, Abdul Rahman Diab, et al. · bioRxiv (Cold Spring Harbor Laboratory)

Works count: 8

Citation count: 511

H-index: 4

I10-index: 3