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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)

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Cerebellum parcellation with convolutional neural networks., , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490K. SPIE, (2019)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)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)A fiber tracking method guided by volumetric tract segmentation., , , and . MMBIA, page 137-142. IEEE, (2012)Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6., , , and . Neuroinformatics, 13 (3): 367-381 (2015)Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters., , , , , , and . NeuroImage, (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)Thalamic parcellation from multi-modal data using random forest learning., , , and . ISBI, page 852-855. IEEE, (2013)Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation., , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 831447. SPIE, (2012)A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852P. SPIE, (2016)