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Sarah H Ying

Showing results (1-10 of 50) with videos related to

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Annals of the New York Academy of Sciences|April 14, 2005
Cerebellar influence in oculomotor phase-transition behaviorWilsaan M Joiner, Mark Shelhamer, Sarah H Ying
Archives of Neurology|June 18, 2003
A longitudinal study of gait and balance dysfunction in normal older peopleRobert W Baloh, Sarah H Ying, Kathleen M Jacobson
Neuroinformatics|March 10, 2015
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6Chuyang Ye, Zhen Yang, Sarah H Ying, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 23, 2013
THALAMIC PARCELLATION FROM MULTI-MODAL DATA USING RANDOM FOREST LEARNINGJoshua V Stough, Chuyang Ye, Sarah H Ying, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 3, 2014
Parcellation of the Thalamus Using Diffusion Tensor Images and a Multi-object Geometric Deformable ModelChuyang Ye, John A Bogovic, Sarah H Ying, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Improved BCI performance with sequential hypothesis testingRong Liu, Geoffrey I Newman, Sarah H Ying, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|January 21, 2014
SEGMENTATION OF THE COMPLETE SUPERIOR CEREBELLAR PEDUNCLES USING A MULTI-OBJECT GEOMETRIC DEFORMABLE MODELChuyang Ye, John A Bogovic, Sarah H Ying, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 13, 2020
Cerebellum Parcellation with Convolutional Neural NetworksShuo Han, Yufan He, Aaron Carass, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Automated segmentation of the cerebellar lobules using boundary specific classification and evolutionJohn A Bogovic, Pierre-Louis Bazin, Sarah H Ying, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|January 2, 2015
Deep Learning for Cerebellar Ataxia Classification and Functional Score RegressionZhen Yang, Shenghua Zhong, Aaron Carass, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Annals of the New York Academy of Sciences|April 14, 2005
Cerebellar influence in oculomotor phase-transition behaviorWilsaan M Joiner, Mark Shelhamer, Sarah H Ying
Archives of Neurology|June 18, 2003
A longitudinal study of gait and balance dysfunction in normal older peopleRobert W Baloh, Sarah H Ying, Kathleen M Jacobson
Neuroinformatics|March 10, 2015
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6Chuyang Ye, Zhen Yang, Sarah H Ying, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 23, 2013
THALAMIC PARCELLATION FROM MULTI-MODAL DATA USING RANDOM FOREST LEARNINGJoshua V Stough, Chuyang Ye, Sarah H Ying, et al.
Proceedings of Spie--The International Society for Optical Engineering|January 3, 2014
Parcellation of the Thalamus Using Diffusion Tensor Images and a Multi-object Geometric Deformable ModelChuyang Ye, John A Bogovic, Sarah H Ying, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Improved BCI performance with sequential hypothesis testingRong Liu, Geoffrey I Newman, Sarah H Ying, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|January 21, 2014
SEGMENTATION OF THE COMPLETE SUPERIOR CEREBELLAR PEDUNCLES USING A MULTI-OBJECT GEOMETRIC DEFORMABLE MODELChuyang Ye, John A Bogovic, Sarah H Ying, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 13, 2020
Cerebellum Parcellation with Convolutional Neural NetworksShuo Han, Yufan He, Aaron Carass, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Automated segmentation of the cerebellar lobules using boundary specific classification and evolutionJohn A Bogovic, Pierre-Louis Bazin, Sarah H Ying, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|January 2, 2015
Deep Learning for Cerebellar Ataxia Classification and Functional Score RegressionZhen Yang, Shenghua Zhong, Aaron Carass, et al.
Pageof 5