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Eric LaRose
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Journal Articles
- 2022
- [j4]Arthur Charléty, Mathieu Le Breton, Eric LaRose, Laurent Baillet:
2D Phase-Based RFID Localization for On-Site Landslide Monitoring. Remote. Sens. 14(15): 3577 (2022) - 2019
- [j3]Jonathan C. Badger, Eric LaRose, John Mayer, Fereshteh S. Bashiri, David Page, Peggy L. Peissig:
Machine learning for phenotyping opioid overdose events. J. Biomed. Informatics 94 (2019) - 2018
- [j2]Jennifer A. Pacheco, Luke V. Rasmussen, Richard C. Kiefer, Thomas R. Campion Jr., Peter Speltz, Robert J. Carroll, Sarah C. Stallings, Huan Mo, Monika Ahuja, Guoqian Jiang, Eric R. LaRose, Peggy L. Peissig, Ning Shang, Barbara Benoit, Vivian S. Gainer, Kenneth Borthwick, Kathryn L. Jackson, Ambrish Sharma, Andy Yizhou Wu, Abel N. Kho, Dan M. Roden, Jyotishman Pathak, Joshua C. Denny, William K. Thompson:
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. J. Am. Medical Informatics Assoc. 25(11): 1540-1546 (2018) - 2017
- [j1]Pedro L. Teixeira, Wei-Qi Wei, Robert M. Cronin, Huan Mo, Jacob P. VanHouten, Robert J. Carroll, Eric LaRose, Lisa Bastarache, S. Trent Rosenbloom, Todd L. Edwards, Dan M. Roden, Thomas A. Lasko, Richard A. Dart, Anne M. Nikolai, Peggy L. Peissig, Joshua C. Denny:
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J. Am. Medical Informatics Assoc. 24(1): 162-171 (2017)
Conference and Workshop Papers
- 2022
- [c9]Arthur Charléty, Mathieu Le Breton, Laurent Baillet, Eric LaRose:
Long-term Monitoring of Soil Surface Deformation with RFID. RFID-TA 2022: 101-104 - 2018
- [c8]Ahmad Pahlavan Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy L. Peissig:
Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. ICHI 2018: 412-414 - [c7]Fereshteh S. Bashiri, Eric LaRose, Jonathan C. Badger, Roshan M. D'Souza, Zeyun Yu, Peggy L. Peissig:
Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure. ISVC 2018: 500-510 - 2017
- [c6]Ahmad Pahlavan Tafti, Ehsun Behravesh, Mehdi Assefi, Eric LaRose, Jonathan C. Badger, John Mayer, AnHai Doan, David Page, Peggy L. Peissig:
bigNN: An open-source big data toolkit focused on biomedical sentence classification. IEEE BigData 2017: 3888-3896 - [c5]Jonathan C. Badger, Eric R. LaRose, Ross Kleiman, Richard L. Berg, James G. Linneman, Richard Hansen, David Page, Peggy L. Peissig:
SCCS for Detection of Differences in Brand and Generic Adverse Drug Events. CRI 2017 - [c4]Eric R. LaRose, Jonathan C. Badger, Pradap Konda, AnHai Doan, Peggy L. Peissig:
Entity Matching Using Magellan: Matching Drug Reference Tables. CRI 2017 - [c3]Ahmad Pahlavan Tafti, Eric LaRose, Jonathan C. Badger, Ross Kleiman, Peggy L. Peissig:
Machine Learning-as-a-Service and Its Application to Medical Informatics. MLDM 2017: 206-219 - [c2]Mathieu Le Breton, Laurent Baillet, Eric LaRose, Etienne Rey, Philippe Benech, Denis Jongmans, Fabrice Guyoton:
Outdoor meteorological effects on UHF RFID phase shift: Experimental simulations. RFID 2017: 103-109 - 2016
- [c1]Rajesh Koralkar, Eric LaRose, Yiqiang Song, David F. Schneider, Peggy L. Peissig:
Developing an NLP Pipeline for Thyroid Ultrasound Reporting. AMIA 2016
Coauthor Index
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