Euan A. Ashley

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 17

Top Topics

Top Venues

npj Digit. Medicine

UbiComp/ISWC Adjunct

Publications

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, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger
A Generalizable Deep Learning System for Cardiac MRI. CoRR (2023)
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, Pierre Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. npj Digit. Medicine 6 (2023)
Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging. Nat. Mach. Intell. 3 (11) (2021)
Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger
Medical Imaging and Machine Learning. CoRR (2021)
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, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning. CoRR (2021)
Vandhana Krishnan, Sowmithri Utiramerur, Zena Ng, Somalee Datta, Michael Snyder, Euan A. Ashley
Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays. BMC Bioinform. 22 (1) (2021)
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
Video-based AI for beat-to-beat assessment of cardiac function. Nat. 580 (7802) (2020)
Jessica Torres Soto, Euan A. Ashley
DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. CoRR (2020)
Jessica Torres Soto, Euan A. Ashley
Multi-task deep learning for cardiac rhythm detection in wearable devices. npj Digit. Medicine 3 (2020)
Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
Deep learning interpretation of echocardiograms. npj Digit. Medicine 3 (2020)
Vlad Manea, Allan Berrocal, Alexandre De Masi, Naja L. Holten Møller, Katarzyna Wac, Hannah M. Bayer, Sune Lehmann, Euan A. Ashley
LDC '19: international workshop on longitudinal data collection in human subject studies. UbiComp/ISWC Adjunct (2019)
Freddy Abnousi, Guson Kang, John Giacomini, Alan Yeung, Shirin Zarafshar, Nicholas Vesom, Euan A. Ashley, Robert Harrington, Celina Yong
A novel noninvasive method for remote heart failure monitoring: the EuleriAn video Magnification apPLications In heart Failure studY (AMPLIFY). npj Digit. Medicine 2 (2019)
Jorge Henriques, Paulo Carvalho, Teresa Rocha, Simão Paredes, Ramona Cabiddu, Renata Trimer, Renata Mendes, Audrey Borghi-Silva, Lenny Kaminsky, Euan A. Ashley, Ross Arena, Jonathan Myers
A non-exercise based V02max prediction using FRIEND dataset with a neural network. EMBC (2017)
Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley
Effect of lossy compression of quality scores on variant calling. Briefings Bioinform. 18 (2) (2017)
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
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. PLoS Comput. Biol. 12 (11) (2016)
Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley
Denoising of Quality Scores for Boosted Inference and Reduced Storage. DCC (2016)
Justin Norden, Timothy E. Sweeney, Aleksandra Pavlovic, Euan A. Ashley, Nigam Shah, Cindy Kin, Alexander Morgan
A Pilot Study of the Integration of a Quantified-self Wearable Device with EMR data in the Acute Postoperative Setting. CRI (2016)
Robert G. Turcott, Hersh Sagreiya, Euan A. Ashley, Russ B. Altman, Amar K. Das
A General Framework for Dose Optimization. AMIA (2009)