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ORCIDEuan A. Ashley
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2020 – today
- 2023
[j10]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, Ali Javed, A. A. Roger Thompson, Thushan de Silva, Euan A. Ashley, Dennis Wang, Allan Lawrie:
Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices. npj Digit. Medicine 6 (2023)- [j9]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) - [i4]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 abs/2312.00357 (2023) - 2021
- [j8]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): 85 (2021) - [j7]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): 929-935 (2021) - [i3]Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger:
Medical Imaging and Machine Learning. CoRR abs/2103.01938 (2021) - [i2]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 abs/2106.12511 (2021) - 2020
- [j6]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): 252-256 (2020) - [j5]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) - [j4]Jessica Torres Soto, Euan A. Ashley:
Multi-task deep learning for cardiac rhythm detection in wearable devices. npj Digit. Medicine 3 (2020) - [i1]Jessica Torres Soto, Euan A. Ashley:
DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices. CoRR abs/2001.00155 (2020)
2010 – 2019
- 2019
- [j3]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) - [c5]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: 878-881 - 2017
- [j2]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): 183-194 (2017) - [c4]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:
A non-exercise based V02max prediction using FRIEND dataset with a neural network. EMBC 2017: 4203-4206 - 2016
- [j1]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) - [c3]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 - [c2]Idoia Ochoa, Mikel Hernaez, Rachel L. Goldfeder, Tsachy Weissman, Euan A. Ashley:
Denoising of Quality Scores for Boosted Inference and Reduced Storage. DCC 2016: 251-260
2000 – 2009
- 2009
- [c1]Robert G. Turcott, Hersh Sagreiya, Euan A. Ashley, Russ B. Altman, Amar K. Das:
A General Framework for Dose Optimization. AMIA 2009
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