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Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models., , , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation., , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis., , , and . ICIP (1), page 880-883. IEEE, (2002)Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?, , , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 158-165. Springer, (2015)Change detection based on a support vector data description that treats dependency., , and . Pattern Recognit. Lett., 34 (3): 275-282 (2013)Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis., , , , and . Medical Image Anal., 16 (1): 325-338 (2012)Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas., , and . ISBI, page 386-389. IEEE, (2006)A new high order tensor decomposition: Application to reorientation., , , , , and . ISBI, page 258-261. IEEE, (2011)Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors., , , , , , , and . NeuroImage, 60 (4): 2206-2221 (2012)Topology preserving deformable image matching using constrained hierarchical parametric models., , and . IEEE Trans. Image Processing, 10 (7): 1081-1093 (2001)