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Random forest regression for magnetic resonance image synthesis., , , , and . Medical Image Analysis, (2017)MR image synthesis by contrast learning on neighborhood ensembles., , , , and . Medical Image Analysis, 24 (1): 63-76 (2015)Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks., , , , , , and . CoRR, (2018)Simple paradigm for extra-cerebral tissue removal: Algorithm and analysis., , , , , and . NeuroImage, 56 (4): 1982-1992 (2011)Automatic quality control using hierarchical shape analysis for cerebellum parcellation., , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490J. SPIE, (2019)Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients., , , , , , , , and . Patch-MI@MICCAI, volume 10530 of Lecture Notes in Computer Science, page 20-28. Springer, (2017)Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation., , , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 248-255. Springer, (2014)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)Tree-Encoded Conditional Random Fields for Image Synthesis., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 733-745. Springer, (2015)Pulse sequence based multi-acquisition MR intensity normalization., , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86692H. SPIE, (2013)