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ORCIDGeoffrey H. Tison
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- affiliation: University of California, San Francisco, CA, USA
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Journal Articles
- 2024
[j5]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:
Evaluation of stenoses using AI video models applied to coronary angiography. npj Digit. Medicine 7(1) (2024)- 2023
- [j4]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:
CathAI: fully automated coronary angiography interpretation and stenosis estimation. npj Digit. Medicine 6 (2023) - 2021
- [j3]Kirstin Aschbacher, Christian S. Hendershot, Geoffrey H. Tison, Judith A. Hahn, Robert Avram, Jeffrey E. Olgin, Gregory M. Marcus:
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior. npj Digit. Medicine 4 (2021) - 2019
- [j2]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:
Real-world heart rate norms in the Health eHeart study. npj Digit. Medicine 2 (2019) - 2018
- [j1]Geoffrey H. Tison, Alanna M. Chamberlain, Mark J. Pletcher, Shannon M. Dunlay, Susan A. Weston, Jill M. Killian, Jeffrey E. Olgin, Véronique L. Roger:
Identifying heart failure using EMR-based algorithms. Int. J. Medical Informatics 120: 1-7 (2018)
Conference and Workshop Papers
- 2022
- [c3]Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. AAAI 2022: 11792-11800 - 2021
- [c2]Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar:
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. ML4H@NeurIPS 2021: 156-167 - 2018
- [c1]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:
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. AAAI 2018: 2079-2086
Informal and Other Publications
- 2026
- [i8]Sarra Harrabi, Yichen Wu, Geoffrey H. Tison, Minhaj Ansari, Milos Vukadinovic, David Ouyang, Joshua Barrios, Jacques Delfrate, Robert Avram:
DeepCORO-CLIP: A Multi-View Foundation Model for Comprehensive Coronary Angiography Video-Text Analysis and External Validation. CoRR abs/2603.17675 (2026) - 2023
- [i7]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:
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors. CoRR abs/2304.08486 (2023) - 2021
- [i6]Bryan Gopal, Ryan W. Han, Gautham Raghupathi, Andrew Y. Ng, Geoffrey H. Tison, Pranav Rajpurkar:
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. CoRR abs/2106.04452 (2021) - [i5]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:
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks. CoRR abs/2106.07708 (2021) - [i4]Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. CoRR abs/2109.06486 (2021) - 2018
- [i3]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:
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. CoRR abs/1802.02511 (2018) - [i2]Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling, Rahul C. Deo:
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery. CoRR abs/1807.02569 (2018) - [i1]J. Weston Hughes, Taylor Sittler, Anthony D. Joseph, Jeffrey E. Olgin, Joseph E. Gonzalez, Geoffrey H. Tison:
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification. CoRR abs/1812.00497 (2018)
Coauthor Index
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