Grant Duffy

According to our database, Grant Duffy authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

Deep learning evaluation of echocardiograms to identify occult atrial fibrillation.

Neal Yuan, Nathan R. Stein, Grant Duffy, Roopinder K. Sandhu, Sumeet S. Chugh, Peng-Sheng Chen, Carine Rosenberg, Christine M. Albert, Susan Cheng, Robert J. Siegel, David Ouyang

npj Digit. Medicine, 2024

2022

Confounders mediate AI prediction of demographics in medical imaging.

Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang

npj Digit. Medicine, 2022

Deep Learning Discovery of Demographic Biomarkers in Echocardiography.

Grant Duffy, Shoa L. Clarke, Matthew Christensen, Bryan He, Neal Yuan, Susan Cheng, David Ouyang

CoRR, 2022

Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality.

David Ouyang, John Theurer, Nathan R. Stein, J. Weston Hughes, Pierre Elias, Bryan He, Neal Yuan, Grant Duffy, Roopinder K. Sandhu, Joseph Ebinger, Patrick Botting, Melvin Jujjavarapu, Brian Claggett, James E. Tooley, Tim Poterucha, Jonathan H. Chen, Michael Nurok, Marco V. Perez, Adler J. Perotte, James Y. Zou, Nancy R. Cook, Sumeet S. Chugh, Susan Cheng, Christine M. Albert

CoRR, 2022

2021

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning.

Grant Duffy, Paul P. Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang

CoRR, 2021