Gregory Holste
Ph.D. Candidate, The University of Texas at Austin
I am a 4th-year Ph.D. candidate in Electrical Engineering at The University of Texas at Austin advised by Atlas Wang. As part of the Visual Informatics @ UT Austin (VITA) group and Cardiovascular Data Science (CarDS) Lab at Yale School of Medicine, I develop deep learning and computer vision techniques to solve clinical decision-making and medical image analysis problems.
Since 2023, my research is funded by the NSF Graduate Research Fellowship Program (GRFP). My work has been published in top journals such as JAMA Cardiology, European Heart Journal, IEEE Transactions on Medical Imaging, Medical Image Analysis, & npj Digital Medicine and presented at conferences including CVPR, ICML, ICCV, & MICCAI. For a full list of publications, please scroll down or see my Google Scholar.
Research Interests
Deep learning for computer-aided diagnosis
Computer vision & medical image analysis
Self-supervised & multimodal learning
Long-tailed learning & rare disease detection
AI for cardiovascular health
Experience
Ph.D. in Electrical Engineering
2021-presentThe University of Texas at AustinAdvisor: Atlas Wang
M.S.E. in Electrical Engineering
2021-2024The University of Texas at Austin
B.A. in Mathematics & Statistics
2016-2020Kenyon College
News & Updates
- May 2025
Paper accepted to the NFBCC Workshop at CVPR 2025 on novel echocardiographic view synthesis
- May 2025
I was invited to present breakthrough science at the inaugural Foundry AI for Science Symposium in San Francisco
- Apr 2025
Paper accepted to IEEE Transactions on Medical Imaging on rib fracture detection in CT
- Jan 2025
Paper accepted to The Lancet Digital Health on cardiomypoathy detection in point-of-care cardiac ultrasound
Selected Publications
PanEcho: Complete AI-enabled echocardiography interpretation with multi-task deep learning
G. Holste, E.K. Oikonomou, Z. Wang, R. Khera
medRxiv
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
E.K. Oikonomou, A. Vaid, G. Holste, A. Coppi, R.L. McNamara, C. Baloescu, H.M. Krumholz, Z. Wang, D.J. Apakama, G.N. Nadkarni, R. Khera
The Lancet Digital Health
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling
G. Holste, M. Lin, R. Zhou, F. Wang, L. Liu, Q. Yan, S.H. Van Tassel, K. Kovacs, E.Y. Chew, Z. Lu
NPJ Digital Medicine
Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning
G. Holste, E.K. Oikonomou, B.J. Mortazavi, Z. Wang, R. Khera
Communications Medicine
A multimodal video-based AI biomarker for aortic stenosis development and progression
E.K. Oikonomou, G. Holste, N. Yuan, A. Coppi, R.L. McNamara, N.A. Haynes, A.N. Vora, E.J. Velazquez, F. Li, V. Menon
JAMA Cardiology
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
G. Holste, Y. Zhou, S. Wang, A. Jaiswal, M. Lin, S. Zhuge, Y. Yang, D. Kim, T.H. Nguyen-Mau, M.T. Tran
Medical Image Analysis
Severe aortic stenosis detection by deep learning applied to echocardiography
G. Holste, E.K. Oikonomou, B.J. Mortazavi, A. Coppi, K.F. Faridi, E.J. Miller, J.K. Forrest, R.L. McNamara, L. Ohno-Machado, N. Yuan
European Heart Journal
Publications
Selected Honors & Awards
Graduate Research Fellowship (GRFP)
2023-2026National Science Foundation (NSF)Awarded the prestigious NSF GRFP for the nation's most oustanding STEM graduate students
Dean's Prestigious Fellowship Supplement
2023,2024,2025The University of Texas at AustinSupplemental award for UT Austin graduate students receiving major external fellowships
Charles W. & Margaret A. Tolbert Endowed Scholarship
2021The University of Texas at AustinAward for top incoming Cockrell School of Engineering graduate students
Phi Beta Kappa
2020Kenyon CollegeElected to Kenyon College's chapter of the national honor society for academic achievement
Sigma Xi
2020Kenyon CollegeInducted into the Kenyon-Denison chapter of the national science research honor society
Pi Mu Epsilon
2018Kenyon CollegeElected to the Ohio Pi chapter of the national mathematics society
Wendell D. Lindstrom Memorial Prize
2018Kenyon College, Department of Mathematics & StatisticsOne of 12 students given prize for outstanding mathematics students
Professional Service
Challenge Organizer
2023,2024Led the CXR-LT 2023 (CVAMD 2023) and CXR-LT 2024 (MICCAI 2024) challenges on long-tailed disease classification from chest X-rays. Fielded >2,000 combined submissions from hundreds of participants representing 10+ different countries
Workshop Organizer
2023Co-organized the Computer Vision for Automated Medical Diagnosis (CVAMD) workshop at ICCV 2023
Journal Reviewer
2021-presentReviewer for journals including JAMA, JAMA Cardiology, European Heart Journal, IEEE Transactions on Medical Imaging, Medical Image Analysis, and more