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Journal Articles
- 2022
[j6]Jason H. T. Bates, Katharine L. Hamlington, Garth Garrison, C. Matthew Kinsey:
Prediction of lung cancer risk based on age and smoking history. Comput. Methods Programs Biomed. 216: 106660 (2022)- [j5]Heng Tan, Jason H. T. Bates, C. Matthew Kinsey:
Discriminating TB lung nodules from early lung cancers using deep learning. BMC Medical Informatics Decis. Mak. 22-S(2): 161 (2022) - 2020
- [j4]Kristin McClure, Brett Erdreich, Jason H. T. Bates, Ryan S. McGinnis
, Axel Masquelin, Safwan Wshah:
Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning. Sensors 20(22): 6481 (2020) - 2017
- [j3]Clara M. Ionescu, António M. Lopes, Dana Copot, J. A. Tenreiro Machado, Jason H. T. Bates:
The role of fractional calculus in modeling biological phenomena: A review. Commun. Nonlinear Sci. Numer. Simul. 51: 141-159 (2017) - 2015
- [j2]Bradford J. Smith, Jason H. T. Bates:
Variable Ventilation as a Diagnostic Tool for the Injured Lung. IEEE Trans. Biomed. Eng. 62(9): 2106-2113 (2015) - 2013
- [j1]Bradford J. Smith, Jason H. T. Bates:
Assessing the Progression of Ventilator-Induced Lung Injury in Mice. IEEE Trans. Biomed. Eng. 60(12): 3449-3457 (2013)
Conference and Workshop Papers
- 2022
- [c2]Safwan Wshah, Beilei Xu, Jason H. T. Bates, Katelin Morrissette:
Deep Fusion of Ultrasound Videos for Furosemide Classification. ISBI 2022: 1-4 - 2001
- [c1]George E. Hatzakis, Ronald Olivenstein, Jason H. T. Bates:
Fuzzy Logic and Mechanical Ventilation of COPD Patients. AMIA 2001
Informal and Other Publications
- 2022
- [i1]Carolin M. Geitner, Tobias Becher, Inéz Frerichs, Norbert Weiler, Jason H. T. Bates, Wolfgang A. Wall:
An approach to study recruitment/derecruitment dynamics in a patient-specific computational model of an injured human lung. CoRR abs/2212.01114 (2022)
Coauthor Index
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