A General Framework for Dose Optimization. - Robert G. Turcott; Hersh Sagreiya; Euan A. Ashley; Russ B. Altman; Amar K. Das (AMIA, 2009)

A Pilot Study of the Integration of a Quantified-self Wearable Device with EMR data in the Acute Postoperative Setting. - Justin Norden; Timothy E. Sweeney; Aleksandra Pavlovic; Euan A. Ashley; Nigam Shah; Cindy Kin; Alexander Morgan (CRI, 2016)

Denoising of Quality Scores for Boosted Inference and Reduced Storage. - Idoia Ochoa; Mikel Hernaez; Rachel L. Goldfeder; Tsachy Weissman; Euan A. Ashley (DCC, 2016)

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. - David A. Van Valen; Takamasa Kudo; Keara M. Lane; Derek N. Macklin; Nicolas T. Quach; Mialy M. DeFelice; Inbal Maayan; Yu Tanouchi; Euan A. Ashley; Markus W. Covert (PLoS Comput. Biol., 2016)

A non-exercise based V02max prediction using FRIEND dataset with a neural network. - Jorge Henriques; Paulo Carvalho 001; Teresa Rocha; Simão Paredes; Ramona Cabiddu; Renata Trimer; Renata Gonçalves Mendes; Audrey Borghi-Silva; Lenny Kaminsky; Euan A. Ashley; Ross Arena; Jonathan Myers (EMBC, 2017)

Effect of lossy compression of quality scores on variant calling. - Idoia Ochoa; Mikel Hernaez; Rachel L. Goldfeder; Tsachy Weissman; Euan A. Ashley (Briefings Bioinform., 2017)

LDC '19: international workshop on longitudinal data collection in human subject studies. - Vlad Manea; Allan Berrocal; Alexandre De Masi; Naja L. Holten Møller; Katarzyna Wac; Hannah M. Bayer; Sune Lehmann; Euan A. Ashley (UbiComp/ISWC Adjunct, 2019)

A novel noninvasive method for remote heart failure monitoring: the EuleriAn video Magnification apPLications In heart Failure studY (AMPLIFY). - Freddy Abnousi; Guson Kang; John Giacomini; Alan Yeung; Shirin Zarafshar; Nicholas Vesom; Euan A. Ashley; Robert Harrington; Celina Yong (npj Digit. Medicine, 2019)

DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. - Jessica Torres Soto; Euan A. Ashley (CoRR, 2020)

Video-based AI for beat-to-beat assessment of cardiac function. - David Ouyang; Bryan He; Amirata Ghorbani; Neal Yuan; Joseph Ebinger; Curtis P. Langlotz; Paul A. Heidenreich; Robert A. Harrington; David H. Liang; Euan A. Ashley; James Y. Zou (Nat., 2020)

Deep learning interpretation of echocardiograms. - Amirata Ghorbani; David Ouyang; Abubakar Abid; Bryan He; Jonathan H. Chen; Robert A. Harrington; David H. Liang; Euan A. Ashley; James Y. Zou (npj Digit. Medicine, 2020)

Multi-task deep learning for cardiac rhythm detection in wearable devices. - Jessica Torres Soto; Euan A. Ashley (npj Digit. Medicine, 2020)

Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays. - Vandhana Krishnan; Sowmithri Utiramerur; Zena Ng; Somalee Datta; Michael Snyder 001; Euan A. Ashley (BMC Bioinform., 2021)

Medical Imaging and Machine Learning. - Rohan Shad; John P. Cunningham; Euan A. Ashley; Curtis P. Langlotz; William Hiesinger (CoRR, 2021)

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning. - Grant Duffy; Paul P. Cheng; Neal Yuan; Bryan He; Alan C. Kwan; Matthew J. Shun-Shin; Kevin M. Alexander; Joseph Ebinger; Matthew P. Lungren; Florian Rader; David H. Liang; Ingela Schnittger; et al. (CoRR, 2021)

Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. - Rohan Shad; John P. Cunningham; Euan A. Ashley; Curtis P. Langlotz; William Hiesinger (Nat. Mach. Intell., 2021)

A Generalizable Deep Learning System for Cardiac MRI. - Rohan Shad; Cyril Zakka; Dhamanpreet Kaur; Robyn Fong; Ross Warren Filice; John Mongan; Kimberly Kallianos; Nishith Khandwala; David Eng; Matthew Leipzig; Walter Witschey; Alejandro de Feria; et al. (CoRR, 2023)

Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices. - Varsha Gupta; Sokratis Kariotis; Mohammed D. Rajab; Niamh Errington; Elham Alhathli; Emmanuel Jammeh; Martin Brook; Naomi Meardon; Paul Collini; Joby Cole; Jim M. Wild; Steven Hershman; et al. (npj Digit. Medicine, 2023)

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. - J. Weston Hughes; James E. Tooley; Jessica Torres Soto; Anna Ostropolets; Tim Poterucha; Matthew Christensen; Neal Yuan; Ben Ehlert; Dhamanpreet Kaur; Guson Kang; Albert J. Rogers; Sanjiv M. Narayan; et al. (npj Digit. Medicine, 2023)

Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients. - Lane Fitzsimmons; Maria T. Acosta; David R. Adams; Ben Afzali; Ali Al-Beshri; Eric Allenspach; Aimee Allworth; Raquel L. Alvarez; Justin Alvey; Ashley Andrews; Euan A. Ashley; Carlos A. Bacino; et al. (BioData Min., 2025)

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - Albert J. Rogers; Neal K. Bhatia; Sabyasachi Bandyopadhyay; James E. Tooley; Rayan Ansari; Vyom Thakkar; Justin Xu; Jessica Torres Soto; Jagteshwar S. Tung; Mahmood I. Alhusseini; Paul Clopton; Reza Sameni; et al. (npj Digit. Medicine, 2025)