Euan A. Ashley

According to our database, Euan A. Ashley authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Pierre Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez

npj Digit. Medicine, 2023

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, Victor Ferrari, Euan A. Ashley, Michael A. Acker, Curtis P. Langlotz, William Hiesinger

CoRR, 2023

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

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, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang

CoRR, 2021

Medical Imaging and Machine Learning.

Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger

CoRR, 2021

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, Euan A. Ashley

BMC Bioinform., 2021

2020

Multi-task deep learning for cardiac rhythm detection in wearable devices.

Jessica Torres Soto, Euan A. Ashley

npj Digit. Medicine, 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

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

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

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

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

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

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

A non-exercise based V02max prediction using FRIEND dataset with a neural network.

Jorge Henriques, Paulo Carvalho, Teresa Rocha, Simão Paredes, Ramona Cabiddu, Renata Trimer, Renata Gonçalves Mendes, Audrey Borghi-Silva, Lenny Kaminsky, Euan A. Ashley, Ross Arena, Jonathan Myers

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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

Denoising of Quality Scores for Boosted Inference and Reduced Storage.

Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley

Proceedings of the 2016 Data Compression Conference, 2016

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

Proceedings of the Summit on Clinical Research Informatics, 2016

2009

A General Framework for Dose Optimization.

Robert G. Turcott, Hersh Sagreiya, Euan A. Ashley, Russ B. Altman, Amar K. Das

Proceedings of the AMIA 2009, 2009