Gabriel Sayer

According to our database, Gabriel Sayer authored at least 4 papers between 2017 and 2026.

Collaborative distances:

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

2026

Multimodal multi-instance learning for cardiopulmonary exercise testing performance prediction.

Zhe Huang, Weishen Pan, Shudhanshu Alishetti, Ashley N. Beecy, Zhenzhen Liu, Albert Gong, Saebyeol Shin, Kevin J. Clerkin, Rochelle L. Goldsmith, David T. Majure, Chris Kelsey, David vanmaanan, Jeffrey Ruhl, Naomi Tesfuzigta, Erica Lancet, Deepa Kumaraiah, Gabriel Sayer, Deborah Estrin, Kilian Q. Weinberger, Nir Uriel, Fei Wang

npj Digit. Medicine, 2026

2025

Learning Disease Progression Models That Capture Health Disparities.

Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson

Proceedings of the Conference on Health, 2025

2024

Learning Disease Progression Models That Capture Health Disparities.

Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Nir Uriel, Deborah Estrin, Nikhil Garg, Emma Pierson

CoRR, 2024

2017

3D Echocardiographic Optimization of Residual Native Myocardial Function in Patients with Left Ventricular Assist Devices.

Diego Medvedofsky, Roberto M. Lang, Gabriel Sayer, Karima Addetia, Eric Kruse, Sirtaz Adatya, Gene Kim, Lynn Weinert, Megan Yamat, Nir Uriel, Victor Mor-Avi

Proceedings of the Computing in Cardiology, 2017