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Jongeun Choi

Showing results (21-30 of 40) with videos related to

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Journal of Medical Internet Research|December 9, 2022
Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance EvaluationBogyeong Suh, Heejin Yu, Hyeyeon Kim, et al.
Journal of Dynamic Systems, Measurement, and Control|May 2, 2015
Time-Domain Optimal Experimental Design in Human Seated Postural Control TestingM Cody Priess, Jongeun Choi, Clark Radcliffe, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 11, 2019
Feasibility of Incorporating Test-Retest Reliability and Model Diversity in Identification of Key Neuromuscular Pathways During Head Position TrackingAhmed Ramadan, Jongeun Choi, Jacek Cholewicki, et al.
RSC Advances|May 2, 2022
Coronary artery decision algorithm trained by two-step machine learning algorithmYoung Woo Kim, Hee-Jin Yu, Jung-Sun Kim, et al.
Computer Methods and Programs in Biomedicine|March 18, 2023
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacementKyubaek Yoon, Jae-Young Kim, Sun-Jong Kim, et al.
Statistical Methods in Medical Research|July 25, 2018
Analysis of conversion of Alzheimer's disease using a multi-state Markov modelLiangliang Zhang, Chae Young Lim, Tapabrata Maiti, et al.
Annals of Biomedical Engineering|October 3, 2015
Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion Using Longitudinal CT ImagesByron A Zambrano, Hamidreza Gharahi, ChaeYoung Lim, et al.
Journal of Biomechanics|November 23, 2013
Reliability of assessing trunk motor control using position and force tracking and stabilization tasksN Peter Reeves, John M Popovich, M Cody Priess, et al.
Journal of Biomechanics|January 3, 2015
Quantitative measures of sagittal plane head-neck control: a test-retest reliability studyJohn M Popovich, N Peter Reeves, M Cody Priess, et al.
Scientific Reports|August 19, 2024
Multi-class segmentation of temporomandibular joint using ensemble deep learningKyubaek Yoon, Jae-Young Kim, Sun-Jong Kim, et al.
Pageof 4

Showing results (21-30 of 40) with videos related to

Sort By:
Pageof 4
Journal of Medical Internet Research|December 9, 2022
Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance EvaluationBogyeong Suh, Heejin Yu, Hyeyeon Kim, et al.
Journal of Dynamic Systems, Measurement, and Control|May 2, 2015
Time-Domain Optimal Experimental Design in Human Seated Postural Control TestingM Cody Priess, Jongeun Choi, Clark Radcliffe, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 11, 2019
Feasibility of Incorporating Test-Retest Reliability and Model Diversity in Identification of Key Neuromuscular Pathways During Head Position TrackingAhmed Ramadan, Jongeun Choi, Jacek Cholewicki, et al.
RSC Advances|May 2, 2022
Coronary artery decision algorithm trained by two-step machine learning algorithmYoung Woo Kim, Hee-Jin Yu, Jung-Sun Kim, et al.
Computer Methods and Programs in Biomedicine|March 18, 2023
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacementKyubaek Yoon, Jae-Young Kim, Sun-Jong Kim, et al.
Statistical Methods in Medical Research|July 25, 2018
Analysis of conversion of Alzheimer's disease using a multi-state Markov modelLiangliang Zhang, Chae Young Lim, Tapabrata Maiti, et al.
Annals of Biomedical Engineering|October 3, 2015
Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion Using Longitudinal CT ImagesByron A Zambrano, Hamidreza Gharahi, ChaeYoung Lim, et al.
Journal of Biomechanics|November 23, 2013
Reliability of assessing trunk motor control using position and force tracking and stabilization tasksN Peter Reeves, John M Popovich, M Cody Priess, et al.
Journal of Biomechanics|January 3, 2015
Quantitative measures of sagittal plane head-neck control: a test-retest reliability studyJohn M Popovich, N Peter Reeves, M Cody Priess, et al.
Scientific Reports|August 19, 2024
Multi-class segmentation of temporomandibular joint using ensemble deep learningKyubaek Yoon, Jae-Young Kim, Sun-Jong Kim, et al.
Pageof 4