Predicting post-operative right ventricular failure using video-based deep learning. - Rohan Shad; Nicolas Quach; Robyn Fong; Patpilai Kasinpila; Cayley Bowles; Miguel Castro; Ashrith Guha; Eddie Suarez; Stefan Jovinge; Sangjin Lee; Theodore Boeve; Myriam Amsallem; et al. (CoRR, 2021)

Simulating time to event prediction with spatiotemporal echocardiography deep learning. - Rohan Shad; Nicolas Quach; Robyn Fong; Patpilai Kasinpila; Cayley Bowles; Kate M. Callon; Michelle C. Li; Jeffrey J. Teuteberg; John P. Cunningham; Curtis P. Langlotz; William Hiesinger (CoRR, 2021)

Echocardiogram Foundation Model - Application 1: Estimating Ejection Fraction. - Adil Dahlan; Cyril Zakka; Abhinav Kumar; Laura Tang; Rohan Shad; Robyn Fong; William Hiesinger (CoRR, 2023)

A Generalizable Deep Learning System for Cardiac MRI. - Rohan Shad; Cyril Zakka; Dhamanpreet Kaur; Robyn Fong; Ross Warren Filice; John Mongan; Kimberly Kallianos; Nishith Khandwala; David Eng; Matthew Leipzig; Walter Witschey; Alejandro de Feria; et al. (CoRR, 2023)

Almanac Copilot: Towards Autonomous Electronic Health Record Navigation. - Cyril Zakka; Joseph Cho; Gracia Fahed; Rohan Shad; Michael Moor; Robyn Fong; Dhamanpreet Kaur; Vishnu Ravi; Oliver O. Aalami; Roxana Daneshjou; Akshay Chaudhari; William Hiesinger (CoRR, 2024)