Geoffrey H. Tison

15 papers A* 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepCORO-CLIP: A Multi-View Foundation Model for Comprehensive Coronary Angiography Video-Text Analysis and External Validation.
CoRR
Sarra Harrabi, Yichen Wu, Geoffrey H. Tison, Minhaj Ansari, Milos Vukadinovic, David Ouyang, Joshua Barrios, Jacques Delfrate, Robert Avram
2024 J jnl
Evaluation of stenoses using AI video models applied to coronary angiography.
npj Digit. Medicine
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
2023 J jnl
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.
CoRR
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
2023 J jnl
CathAI: fully automated coronary angiography interpretation and stenosis estimation.
npj Digit. Medicine
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
2022 A* conf
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data.
AAAI
Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
2021 — conf
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations.
ML4H@NeurIPS
Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar
2021 J jnl
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations.
CoRR
Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar
2021 J jnl
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.
CoRR
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
2021 J jnl
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior.
npj Digit. Medicine
Kirstin Aschbacher, Christian S. Hendershot, Geoffrey H. Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus
2019 J jnl
Real-world heart rate norms in the Health eHeart study.
npj Digit. Medicine
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
2018 J jnl
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery.
CoRR
Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling, Rahul C. Deo
2018 A* conf
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction.
AAAI
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
2018 J jnl
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction.
CoRR
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
2018 J jnl
Identifying heart failure using EMR-based algorithms.
Int. J. Medical Informatics
Geoffrey H. Tison, Alanna M. Chamberlain, Mark J. Pletcher, Shannon M. Dunlay, Susan A. Weston, Jill M. Killian, Jeffrey E. Olgin, Véronique L. Roger
2018 J jnl
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification.
CoRR
J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison