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Learning and combining image neighborhoods using random forests for neonatal brain disease classification., , , , , , , , and . Medical Image Analysis, (2017)A transversal approach for patch-based label fusion via matrix completion., , , , , and . Medical Image Analysis, 24 (1): 135-148 (2015)Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning., , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 505-512. (2016)Patch spaces and fusion strategies in patch-based label fusion., , , , , and . Comp. Med. Imag. and Graph., (2019)An Efficient Distance Between Multi-dimensional Histograms for Comparing Images., and . SSPR/SPR, volume 4109 of Lecture Notes in Computer Science, page 412-421. Springer, (2006)Group-wise Sparse Correspondences between Images based on a Common Labelling Approach., , , and . VISAPP (1), page 269-278. SciTePress, (2012)Novel Multi-Atlas Segmentation by Matrix Completion., , , , and . MLMI, volume 8679 of Lecture Notes in Computer Science, page 207-214. Springer, (2014)Building dynamic population graph for accurate correspondence detection., , , , , and . Medical Image Analysis, 26 (1): 256-267 (2015)A new graph matching method for point-set correspondence using the EM algorithm and Softassign., , and . Computer Vision and Image Understanding, 116 (2): 292-304 (2012)A unified approach to the recognition of complex actions from sequences of zone-crossings., , , , and . Image Vision Comput., 32 (5): 363-378 (2014)