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Automatic quality control using hierarchical shape analysis for cerebellum parcellation.

, , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490J. SPIE, (2019)

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Cerebellum parcellation with convolutional neural networks., , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490K. SPIE, (2019)Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles., , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841H. SPIE, (2016)Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification., , , , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 169-176. Springer, (2014)Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Automatic quality control using hierarchical shape analysis for cerebellum parcellation., , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490J. SPIE, (2019)Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression., , , , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 68-76. Springer, (2014)Improved BCI performance with sequential hypothesis testing., , , and . EMBC, page 4215-4218. IEEE, (2011)A fiber tracking method guided by volumetric tract segmentation., , , and . MMBIA, page 137-142. IEEE, (2012)Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model., , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866909. SPIE, (2013)Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution., , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 62-73. Springer, (2013)