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Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation., , и . Medical Imaging: Image Processing, том 3661 из SPIE Proceedings, SPIE, (1999)Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models., , , , и . Medical Imaging: Image Processing, том 5747 из SPIE Proceedings, SPIE, (2005)Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis., , , и . ICIP (1), стр. 880-883. IEEE, (2002)Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?, , , , , и . MICCAI (1), том 9349 из Lecture Notes in Computer Science, стр. 158-165. Springer, (2015)Change detection based on a support vector data description that treats dependency., , и . Pattern Recognit. Lett., 34 (3): 275-282 (2013)Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas., , и . ISBI, стр. 386-389. IEEE, (2006)A new high order tensor decomposition: Application to reorientation., , , , , и . ISBI, стр. 258-261. IEEE, (2011)3D watershed-based segmentation of internal structures within MR brain images., , , и . Medical Imaging: Image Processing, том 3979 из SPIE Proceedings, SPIE, (2000)Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images., , , , и . ISBI, стр. 811-814. IEEE, (2009)3D Brain MRI segmentation based on robust Hidden Markov Chain., , и . ICASSP, стр. 517-520. IEEE, (2008)