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Diamant, Nathaniel, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, and Puneet Batra. 2022. “Patient Contrastive Learning: A Performant, Expressive, and Practical Approach to Electrocardiogram Modeling”. PLOS Computational Biology 18 (2): e1009862.

Pirruccello, James P., Paolo Di Achille, Victor Nauffal, Mahan Nekoui, Samuel N. Friedman, Marcus D. R. Klarqvist, Mark D. Chaffin, et al. 2021. “Genetic Analysis of Right Heart Structure and Function in 40,000 People”. BioRxiv, 2021.02.05.429046.

Rambarat, Paula, Emily K Zern, Dongyu Wang, Shahrooz Zarbafian, Elizabeth E Liu, Jessica K Wang, Jenna N McNeill, et al. 2021. “Abstract 10389: Identifying High-Risk Clinical Phenogroups of Pulmonary Hypertension Through a Clustering Analysis”. Circulation 144 (Suppl\_1): A10389—A10389.

Cunningham, Jonathan W., Paolo Di Achille, Valerie N. Morrill, Lu-Chen Weng, Seung Hoan Choi, Shaan Khurshid, Victor Nauffal, et al. 2021. “Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch.”

Sarma, Gopal, Erik Reinertsen, and ML4CVD Group. 2020. “Physiology As a Lingua Franca for Clinical Machine Learning”. Patterns 1 (2): 100017.

Khurshid, Shaan, Julieta Lazarte, James P. Pirruccello, Lu-Chen Weng, Seung Hoan Choi, Amelia W. Hall, Xin Wang, et al. 2022. “Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular Mass.”