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Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.

, , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978421. SPIE, (2016)

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Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping., , , , and . MBIA, volume 8159 of Lecture Notes in Computer Science, page 119-128. Springer, (2013)Subvoxel vessel wall thickness measurements from vessel wall MR images., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491Z. SPIE, (2019)Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500D. SPIE, (2019)Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment., , , , , , and . NeuroImage, 61 (4): 1043-1049 (2012)Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images., , and . MCV, volume 7766 of Lecture Notes in Computer Science, page 225-232. Springer, (2012)Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform., , , , , , and . NeuroImage, 59 (3): 2266-2273 (2012)Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers., , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 97-105. (2016)Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform., , , , and . ISBI, page 758-761. IEEE, (2011)Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978421. SPIE, (2016)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). IEEE Trans. Med. Imaging, 38 (11): 2556-2568 (2019)