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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)Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform., , , , and . ISBI, page 758-761. IEEE, (2011)Task-directed evaluation of image segmentation methods., , , and . ICPR (3), page 219-222. IEEE, (1992)Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure., , , , , and . Neuroinformatics, 12 (3): 395-403 (2014)Probabilistic segmentation of brain tissue in MR imaging., , , , and . NeuroImage, 27 (4): 795-804 (2005)Multiscale Image Segmentation based on a Receptive Field Model., , and . SNN Symposium on Neural Networks, page 169-172. Springer, (1995)Automatic Quantification of Radiographic Wrist Joint Space Width of Patients With Rheumatoid Arthritis., , , , , and . IEEE Trans. Biomed. Eng., 64 (11): 2695-2703 (2017)Automated detection of periventricular veins on 7 T brain MRI., , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94132T. SPIE, (2015)MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans., , , , , , , , , and 20 other author(s). Comput. Intell. Neurosci., (2015)Towards an Integrated Online Learning System for Microscopic Pathology: Two Teaching Examples., , , , , , and . TELL, volume 3393 of CEUR Workshop Proceedings, page 16-27. CEUR-WS.org, (2023)