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2020 – today
- 2021
[j5]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)- [j4]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
- [j3]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) - [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
- [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 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
Coauthor Index
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