Fast and accurate classification of echocardiograms using deep learning. - Ali Madani; Ramy Arnaout; Mohammad R. K. Mofrad; Rima Arnaout (CoRR, 2017)

Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions. - Rima Arnaout; Lara Curran; Erin Chinn; Yili Zhao; Anita Moon-Grady (CoRR, 2018)

Fast and accurate view classification of echocardiograms using deep learning. - Ali Madani; Ramy Arnaout; Mohammad R. K. Mofrad; Rima Arnaout (npj Digit. Medicine, 2018)

Best practices for authors of healthcare-related artificial intelligence manuscripts. - Sujay Kakarmath; Andre Esteva; Rima Arnaout; Hugh Harvey; Santosh Kumar 001; Evan D. Muse; Feng Dong; Leia Wedlund; Joseph C. Kvedar (npj Digit. Medicine, 2020)

Domain-guided data augmentation for deep learning on medical imaging. - Chinmayee Athalye; Rima Arnaout (CoRR, 2022)

Label-free segmentation from cardiac ultrasound using self-supervised learning. - Danielle L. Ferreira; Zaynaf Salaymang; Rima Arnaout (CoRR, 2022)

Are foundation models efficient for medical image segmentation? - Danielle L. Ferreira; Rima Arnaout (CoRR, 2023)

ENRICHing medical imaging training sets enables more efficient machine learning. - Erin Chinn; Rohit Arora; Ramy Arnaout; Rima Arnaout (J. Am. Medical Informatics Assoc., 2023)

Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning. - Josiah Couch; Rima Arnaout; Ramy Arnaout (CoRR, 2024)

Grade Inflation in Generative Models. - Phuc Nguyen; Miao Li; Alexandra Morgan; Rima Arnaout; Ramy Arnaout (CoRR, 2025)

X-Factor: Quality Is a Dataset-Intrinsic Property. - Josiah Couch; Miao Li; Rima Arnaout; Ramy Arnaout (CoRR, 2025)