Health Science Technology Group- Center for Biomedical Technology Yes Technical University of Madrid (Spain) NITRC Combining a patch-based approach with a non-rigid registration-based label fusion method for the hippocampal segmentation We propose a patch-based labeling method, which cooperates with a label fusion using non-rigid registrations. We present a novel patch-based label fusion method, whose selected patches and their weights are calculated from a combination of similarity measures between patches using intensity-based distances and labeling-based distances, where a previous labeling of the target image is inferred by a label fusion method using non-rigid registrations. We compare several label fusion methods on publicly available MR images of human brains for segmenting the hippocampus. 2018-2-07 demo_CRF_patch_v.0.2 2016-3-18 demo_CRF_patch_v.0.1 2015-6-06 CRF_PATCHES_matlab_mexw64 Combining a patch-based approach with a non-rigid registration-based label fusion method for the hippocampal segmentation MR http://stage.nitrcce.org/projects/lf_patches/, http://http://www.nitrc.org/projects/lf_patches/