Sarah H. Ying

According to our database, Sarah H. Ying authored at least 21 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Automatic quality control using hierarchical shape analysis for cerebellum parcellation.

Lianrui Zuo, Shuo Han, Aaron Carass, Sarah H. Ying, Chiadikaobi U. Onyike, Jerry L. Prince

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Cerebellum parcellation with convolutional neural networks.

Shuo Han, Yufan He, Aaron Carass, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Jerry L. Prince

NeuroImage, 2018

2017

EEG Classification with a Sequential Decision-Making Method in Motor Imagery BCI.

Rong Liu, Yongxuan Wang, Geoffrey I. Newman, Nitish V. Thakor, Sarah H. Ying

Int. J. Neural Syst., 2017

2016

Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.

Zhen Yang, Chuyang Ye, John A. Bogovic, Aaron Carass, Bruno M. Jedynak, Sarah H. Ying, Jerry L. Prince

NeuroImage, 2016

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization.

Zhen Yang, Sayed Mazdak Abulnaga, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi Onyike, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles.

Ke Li, Chuyang Ye, Zhen Yang, Aaron Carass, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Image Processing, 2016

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.

Sayed Mazdak Abulnaga, Zhen Yang, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadi U. Onyike, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015

Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.

Chuyang Ye, Zhen Yang, Sarah H. Ying, Jerry L. Prince

Neuroinformatics, 2015

2014

Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression.

Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification.

Joshua V. Stough, Jeffrey Glaister, Chuyang Ye, Sarah H. Ying, Jerry L. Prince, Aaron Carass

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters.

John A. Bogovic, Bruno M. Jedynak, Rachel Rigg, Annie Du, Bennett A. Landman, Jerry L. Prince, Sarah H. Ying

NeuroImage, 2013

Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model.

Chuyang Ye, John A. Bogovic, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model.

Chuyang Ye, John A. Bogovic, Sarah H. Ying, Jerry L. Prince

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Thalamic parcellation from multi-modal data using random forest learning.

Joshua V. Stough, Chuyang Ye, Sarah H. Ying, Jerry L. Prince

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution.

John A. Bogovic, Pierre-Louis Bazin, Sarah H. Ying, Jerry L. Prince

Proceedings of the Information Processing in Medical Imaging, 2013

2012

A fiber tracking method guided by volumetric tract segmentation.

Chuyang Ye, Pierre-Louis Bazin, Sarah H. Ying, Jerry L. Prince

Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation.

Chuyang Ye, Pierre-Louis Bazin, John A. Bogovic, Sarah H. Ying, Jerry L. Prince

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Fully automatic segmentation of the dentate nucleus using diffusion weighted images.

Chuyang Ye, John A. Bogovic, Pierre-Louis Bazin, Jerry L. Prince, Sarah H. Ying

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Superficially Located White Matter Structures Commonly Seen in the Human and the Macaque Brain with Diffusion Tensor Imaging.

Kenichi Oishi, Hao Huang, Takashi Yoshioka, Sarah H. Ying, David S. Zee, Karl Zilles, Katrin Amunts, Roger P. Woods, Arthur W. Toga, G. Bruce Pike, Pedro Rosa-Neto, Alan C. Evans, Peter C. M. van Zijl, John C. Mazziotta, Susumu Mori

Brain Connect., 2011

Improved BCI performance with sequential hypothesis testing.

Rong Liu, Geoffrey I. Newman, Sarah H. Ying, Nitish V. Thakor

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011