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Lin-Ching Chang

Showing results (1-10 of 27) with videos related to

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Magnetic Resonance in Medicine|January 31, 2012
Informed RESTORE: A method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifactsLin-Ching Chang, Lindsay Walker, Carlo Pierpaoli
Magnetic Resonance in Medicine|April 22, 2005
RESTORE: robust estimation of tensors by outlier rejectionLin-Ching Chang, Derek K Jones, Carlo Pierpaoli
Frontiers in Artificial Intelligence|November 21, 2025
Enhancing rehabilitation in stroke survivors: a deep learning approach to access upper extremity movement using accelerometry dataTan Tran, Lin-Ching Chang, Peter S Lum
Epilepsy & Behavior : E&B|December 14, 2024
How accurate are machine learning models in predicting anti-seizure medication responses: A systematic reviewAhmed Abdaltawab, Lin-Ching Chang, Mohammed Mansour, et al.
Magnetic Resonance Imaging|July 9, 2025
Exploiting four-way phase-encoding benefits for robust detection and correction of EPI artifacts: Application to residual ghosts in diffusion MRIAnh Thai, Lin Ching Chang, Carlo Pierpaoli, et al.
Magnetic Resonance in Medicine|December 28, 2006
Variance of estimated DTI-derived parameters via first-order perturbation methodsLin-Ching Chang, Cheng Guan Koay, Carlo Pierpaoli, et al.
IEEE Transactions on Medical Imaging|August 19, 2007
Error propagation framework for diffusion tensor imaging via diffusion tensor representationsCheng Guan Koay, Lin-Ching Chang, Carlo Pierpaoli, et al.
Magnetic Resonance in Medicine|July 31, 2008
Linear least-squares method for unbiased estimation of T1 from SPGR signalsLin-Ching Chang, Cheng Guan Koay, Peter J Basser, et al.
Journal of Contaminant Hydrology|April 3, 2018
Evaluation of bacterial run and tumble motility parameters through trajectory analysisXiaomeng Liang, Nanxi Lu, Lin-Ching Chang, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|April 9, 2016
Evaluation of an automated method for arterial input function detection for first-pass myocardial perfusion cardiovascular magnetic resonanceMatthew Jacobs, Mitchel Benovoy, Lin-Ching Chang, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Magnetic Resonance in Medicine|January 31, 2012
Informed RESTORE: A method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifactsLin-Ching Chang, Lindsay Walker, Carlo Pierpaoli
Magnetic Resonance in Medicine|April 22, 2005
RESTORE: robust estimation of tensors by outlier rejectionLin-Ching Chang, Derek K Jones, Carlo Pierpaoli
Frontiers in Artificial Intelligence|November 21, 2025
Enhancing rehabilitation in stroke survivors: a deep learning approach to access upper extremity movement using accelerometry dataTan Tran, Lin-Ching Chang, Peter S Lum
Epilepsy & Behavior : E&B|December 14, 2024
How accurate are machine learning models in predicting anti-seizure medication responses: A systematic reviewAhmed Abdaltawab, Lin-Ching Chang, Mohammed Mansour, et al.
Magnetic Resonance Imaging|July 9, 2025
Exploiting four-way phase-encoding benefits for robust detection and correction of EPI artifacts: Application to residual ghosts in diffusion MRIAnh Thai, Lin Ching Chang, Carlo Pierpaoli, et al.
Magnetic Resonance in Medicine|December 28, 2006
Variance of estimated DTI-derived parameters via first-order perturbation methodsLin-Ching Chang, Cheng Guan Koay, Carlo Pierpaoli, et al.
IEEE Transactions on Medical Imaging|August 19, 2007
Error propagation framework for diffusion tensor imaging via diffusion tensor representationsCheng Guan Koay, Lin-Ching Chang, Carlo Pierpaoli, et al.
Magnetic Resonance in Medicine|July 31, 2008
Linear least-squares method for unbiased estimation of T1 from SPGR signalsLin-Ching Chang, Cheng Guan Koay, Peter J Basser, et al.
Journal of Contaminant Hydrology|April 3, 2018
Evaluation of bacterial run and tumble motility parameters through trajectory analysisXiaomeng Liang, Nanxi Lu, Lin-Ching Chang, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|April 9, 2016
Evaluation of an automated method for arterial input function detection for first-pass myocardial perfusion cardiovascular magnetic resonanceMatthew Jacobs, Mitchel Benovoy, Lin-Ching Chang, et al.
Pageof 3