Robyn Fong

According to our database, Robyn Fong authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Sex disparities in deep learning estimation of ejection fraction from cardiac magnetic resonance imaging.

Dhamanpreet Kaur, Rohan Shad, Abhinav Kumar, Mrudang Mathur, Joseph Cho, Robyn Fong, Cyril Zakka, Curran Phillips, William Hiesinger

npj Digit. Medicine, 2026

2024

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

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 R. Witschey, Alejandro de Feria, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger

CoRR, 2023

Echocardiogram Foundation Model - Application 1: Estimating Ejection Fraction.

Adil Dahlan, Cyril Zakka, Abhinav Kumar, Laura Tang, Rohan Shad, Robyn Fong, William Hiesinger

CoRR, 2023

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

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, Xiu Tang, Francois Haddad, Yasuhiro Shudo, Y. Joseph Woo, Jeffrey J. Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger

CoRR, 2021