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Applied Optics|June 18, 2010
Probability distributions for the integrated intensity and photocount associated with a K-distribution for laser intensityY M Lure, C C YangSensors (Basel, Switzerland)|July 27, 2024
E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar SensingFulin Cai, Teresa Wu, Fleming Y M LureClinical Radiology|December 28, 2020
CT phenotypes in mild-to-moderate chronic obstructive pulmonary disease: difference before and after the age of 60 yearsT Xia, W Zheng, F Y M Lure, et al.IEEE Sensors Journal|August 7, 2023
STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation with Gait Signature Simulation and Deep LearningFulin Cai, Abhidnya Patharkar, Teresa Wu, et al.IEEE Sensors Journal|September 14, 2023
Corrections to "STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation with Gait Signature Simulation and Deep Learning"Fulin Cai, Abhidnya Patharkar, Teresa Wu, et al.Quantitative Imaging in Medicine and Surgery|April 4, 2022
Deep learning-based pulmonary tuberculosis automated detection on chest radiography: large-scale independent testingWen Zhou, Guanxun Cheng, Ziqi Zhang, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 8, 2021
Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroidsJordan D Fuhrman, Jun Chen, Zegang Dong, et al.Journal of X-Ray Science and Technology|November 9, 2020
Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infectionsYanhong Yang, Fleming Y M Lure, Hengyuan Miao, et al.Journal of X-Ray Science and Technology|July 12, 2020
Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learningLuyao Ma, Yun Wang, Lin Guo, et al.Pageof 2