A high-temporal resolution algorithm for quantifying organization during atrial fibrillation. - Haris J. Sih; Douglas P. Zipes; Edward J. Berbari; Jeffrey E. Olgin (IEEE Trans. Biomed. Eng., 1999)

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. - Brandon Ballinger; Johnson Hsieh; Avesh Singh; Nimit Sohoni; Jack Wang 001; Geoffrey H. Tison; Gregory M. Marcus; Jose M. Sanchez; Carol Maguire; Jeffrey E. Olgin; Mark J. Pletcher (AAAI, 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)

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)

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)

EventDTW: An Improved Dynamic Time Warping Algorithm for Aligning Biomedical Signals of Nonuniform Sampling Frequencies. - Yihang Jiang; Yuankai Qi; Will Ke Wang; Brinnae Bent; Robert Avram; Jeffrey E. Olgin; Jessilyn Dunn (Sensors, 2020)

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)

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. - Moumita Bhattacharya; Dai-Yin Lu; Ioannis Ventoulis; Gabriela V. Greenland; Hulya Yalcin; Yufan Guan; Joseph E. Marine; Jeffrey E. Olgin; Stefan L. Zimmerman; Theodore P. Abraham; M. Roselle Abraham; Hagit Shatkay (CoRR, 2021)

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model). - Moumita Bhattacharya; Dai-Yin Lu; Shibani M. Kudchadkar; Gabriela Villarreal Greenland; Prasanth Lingamaneni; Celia P. Corona-Villalobos; Yufan Guan; Joseph E. Marine; Jeffrey E. Olgin; Stefan L. Zimmerman; Theodore P. Abraham; Hagit Shatkay; et al. (CoRR, 2021)

Towards Early Detection and Burden Estimation of Atrial Fibrillation in an Ambulatory Free-living Environment. - Hanbin Zhang; Li Zhu 004; Viswam Nathan; Jilong Kuang; Jacob Kim; Jun Alex Gao; Jeffrey E. Olgin (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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)

Atrial Fibrillation Detection and Atrial Fibrillation Burden Estimation via Wearables. - Li Zhu 004; Viswam Nathan; Jilong Kuang; Jacob Kim; Robert Avram; Jeffrey E. Olgin; Jun Alex Gao (IEEE J. Biomed. Health Informatics, 2022)

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; et al. (npj Digit. Medicine, 2023)