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Lin-Ching Chang

Showing results (21-30 of 27) with videos related to

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Neurorehabilitation and Neural Repair|November 5, 2020
Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold MethodPeter S Lum, Liqi Shu, Elaine M Bochniewicz, et al.
Computers in Biology and Medicine|October 10, 2020
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous datasetVy Bui, Li-Yueh Hsu, Sujata M Shanbhag, et al.
IEEE Transactions on Medical Imaging|November 29, 2007
Parsimonious model selection for tissue segmentation and classification applications: a study using simulated and experimental DTI dataRaisa Z Freidlin, Evren Ozarslan, Michal E Komlosh, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography AngiographyVy Bui, Sujata M Shanbhag, Oscar Levine, et al.
Frontiers in Artificial Intelligence|December 9, 2022
DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentationVy Bui, Li-Yueh Hsu, Lin-Ching Chang, et al.
Bioengineering (Basel, Switzerland)|June 26, 2025
Accelerometry and the Capacity-Performance Gap: Case Series Report in Upper-Extremity Motor Impairment Assessment Post-StrokeEstevan M Nieto, Edaena Lujan, Crystal A Mendoza, et al.
Neuroimage|June 7, 2015
The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)Lindsay Walker, Lin-Ching Chang, Amritha Nayak, et al.
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Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Neurorehabilitation and Neural Repair|November 5, 2020
Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold MethodPeter S Lum, Liqi Shu, Elaine M Bochniewicz, et al.
Computers in Biology and Medicine|October 10, 2020
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous datasetVy Bui, Li-Yueh Hsu, Sujata M Shanbhag, et al.
IEEE Transactions on Medical Imaging|November 29, 2007
Parsimonious model selection for tissue segmentation and classification applications: a study using simulated and experimental DTI dataRaisa Z Freidlin, Evren Ozarslan, Michal E Komlosh, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography AngiographyVy Bui, Sujata M Shanbhag, Oscar Levine, et al.
Frontiers in Artificial Intelligence|December 9, 2022
DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentationVy Bui, Li-Yueh Hsu, Lin-Ching Chang, et al.
Bioengineering (Basel, Switzerland)|June 26, 2025
Accelerometry and the Capacity-Performance Gap: Case Series Report in Upper-Extremity Motor Impairment Assessment Post-StrokeEstevan M Nieto, Edaena Lujan, Crystal A Mendoza, et al.
Neuroimage|June 7, 2015
The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)Lindsay Walker, Lin-Ching Chang, Amritha Nayak, et al.
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