Geoffrey H. Tison

According to our database, Geoffrey H. Tison authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

DeepCORO-CLIP: A Multi-View Foundation Model for Comprehensive Coronary Angiography Video-Text Analysis and External Validation.

Sarra Harrabi, Yichen Wu, Geoffrey H. Tison, Minhaj Ansari, Milos Vukadinovic, David Ouyang, Joshua Barrios, Jacques Delfrate, Robert Avram

CoRR, March, 2026

2024

Evaluation of stenoses using AI video models applied to coronary angiography.

Élodie Labrecque Langlais, Denis Corbin, Olivier Tastet, Ahmad Hayek, Gemina Doolub, Sebastián Mrad, Jean-Claude Tardif, Jean-François Tanguay, Guillaume Marquis-Gravel, Geoffrey H. Tison, Samuel Kadoury, William Le, Richard Gallo, Frederic Lesage, Robert Avram

npj Digit. Medicine, 2024

2023

CathAI: fully automated coronary angiography interpretation and stenosis estimation.

Robert Avram, Jeffrey E. Olgin, Zeeshan Ahmed, Louis Verreault-Julien, Alvin Wan, Joshua Barrios, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Jean-Claude Tardif, Derek Y. So, Krishan Soni, Geoffrey H. Tison

npj Digit. Medicine, 2023

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.

Kathryn Wantlin, Chenwei Wu, Shih-Cheng Huang, Oishi Banerjee, Farah Dadabhoy, Veeral Vipin Mehta, Ryan Wonhee Han, Fang Cao, Raja R. Narayan, Errol Colak, Adewole S. Adamson, Laura Heacock, Geoffrey H. Tison, Alex Tamkin, Pranav Rajpurkar

CoRR, 2023

2022

Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data.

Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior.

Kirstin Aschbacher, Christian S. Hendershot, Geoffrey H. Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus

npj Digit. Medicine, 2021

CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.

Robert Avram, Jeffrey E. Olgin, Alvin Wan, Zeeshan Ahmed, Louis Verreault-Julien, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Derek Y. So, Krishan Soni, Geoffrey H. Tison

CoRR, 2021

3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations.

Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar

Proceedings of the Machine Learning for Health, 2021

2019

Real-world heart rate norms in the Health eHeart study.

Robert Avram, Geoffrey H. Tison, Kirstin Aschbacher, Peter Kuhar, Eric Vittinghoff, Michael Butzner, Ryan Runge, Nancy Wu, Mark J. Pletcher, Gregory M. Marcus, Jeffrey E. Olgin

npj Digit. Medicine, 2019

2018

Identifying heart failure using EMR-based algorithms.

Geoffrey H. Tison, Alanna M. Chamberlain, Mark J. Pletcher, Shannon M. Dunlay, Susan A. Weston, Jill M. Killian, Jeffrey E. Olgin, Véronique L. Roger

Int. J. Medical Informatics, 2018

Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification.

J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison

CoRR, 2018

Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.

Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling, Rahul C. Deo

CoRR, 2018

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction.

Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018