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Maureen Stone

Showing results (71-80 of 79) with videos related to

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The Journal of the Acoustical Society of America|June 3, 2019
Differentiating post-cancer from healthy tongue muscle coordination patterns during speech using deep learningJonghye Woo, Fangxu Xing, Jerry L Prince, et al.
Journal of Speech, Language, and Hearing Research : JSLHR|September 2, 2022
Validation of Muscle Fiber Architecture of the Human Tongue Revealed by Diffusion Magnetic Resonance Imaging With Histology VerificationXiao Liang, Nahla M H Elsaid, Li Jiang, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization|August 24, 2018
Structure and variability in human tongue muscle anatomyMaureen Stone, Jonghye Woo, Junghoon Lee, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 29, 2024
Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal TransformerXiaofeng Liu, Fangxu Xing, Zhangxing Bian, et al.
Interspeech|December 27, 2024
Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI DataTomás Arias-Vergara, Paula Andrea Pérez-Toro, Xiaofeng Liu, et al.
JASA Express Letters|September 6, 2024
Investigating muscle coordination patterns with Granger causality analysis in protrusive motion from tagged and diffusion MRIHyeonjeong Park, Fangxu Xing, Maureen Stone, et al.
IEEE Transactions on Medical Imaging|September 21, 2018
A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRIJonghye Woo, Jerry L Prince, Maureen Stone, et al.
Medical Image Analysis|April 1, 2026
A speech-to-video synthesis approach using spatio-temporal diffusion for vocal tract MRIPaula Andrea Pérez-Toro, Tomás Arias-Vergara, Fangxu Xing, et al.
Magnetic Resonance Imaging|June 28, 2019
Applications of a deep learning method for anti-aliasing and super-resolution in MRICan Zhao, Muhan Shao, Aaron Carass, et al.
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Showing results (71-80 of 79) with videos related to

Sort By:
Pageof 8
You have reached the last page of results.This site can display upto 79 results.
The Journal of the Acoustical Society of America|June 3, 2019
Differentiating post-cancer from healthy tongue muscle coordination patterns during speech using deep learningJonghye Woo, Fangxu Xing, Jerry L Prince, et al.
Journal of Speech, Language, and Hearing Research : JSLHR|September 2, 2022
Validation of Muscle Fiber Architecture of the Human Tongue Revealed by Diffusion Magnetic Resonance Imaging With Histology VerificationXiao Liang, Nahla M H Elsaid, Li Jiang, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization|August 24, 2018
Structure and variability in human tongue muscle anatomyMaureen Stone, Jonghye Woo, Junghoon Lee, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 29, 2024
Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal TransformerXiaofeng Liu, Fangxu Xing, Zhangxing Bian, et al.
Interspeech|December 27, 2024
Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI DataTomás Arias-Vergara, Paula Andrea Pérez-Toro, Xiaofeng Liu, et al.
JASA Express Letters|September 6, 2024
Investigating muscle coordination patterns with Granger causality analysis in protrusive motion from tagged and diffusion MRIHyeonjeong Park, Fangxu Xing, Maureen Stone, et al.
IEEE Transactions on Medical Imaging|September 21, 2018
A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRIJonghye Woo, Jerry L Prince, Maureen Stone, et al.
Medical Image Analysis|April 1, 2026
A speech-to-video synthesis approach using spatio-temporal diffusion for vocal tract MRIPaula Andrea Pérez-Toro, Tomás Arias-Vergara, Fangxu Xing, et al.
Magnetic Resonance Imaging|June 28, 2019
Applications of a deep learning method for anti-aliasing and super-resolution in MRICan Zhao, Muhan Shao, Aaron Carass, et al.
Pageof 8