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Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models.

, , и . ICIP, стр. 505-508. IEEE, (2000)

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Fabrice Lacombe

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Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images., , и . PDPTA, стр. 40-48. CSREA Press, (2002)3D deformable image matching: a hierarchical approach over nested subspaces., , и . Medical Imaging: Image Processing, том 3979 из SPIE Proceedings, SPIE, (2000)Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models., , и . ICIP, стр. 505-508. IEEE, (2000)Unsupervised Nonlinear Manifold Learning., , , и . ICIP (2), стр. 109-112. IEEE, (2007)Statistical model-based segmentation of deformable motion., и . ICIP (1), стр. 937-940. IEEE Computer Society, (1996)On the estimation and correction of bias in local atrophy estimations using example atrophy simulations., , , , и . Comput. Medical Imaging Graph., 37 (7-8): 538-551 (2013)Spatio-Temporal Segmentation Using 3D Morphological Tools., , и . ICPR, стр. 3885-3892. IEEE Computer Society, (2000)Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures., , , и . Medical Imaging: Image Processing, том 3338 из SPIE Proceedings, SPIE, (1998)Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches., , , , , и . MICCAI (1), том 5762 из Lecture Notes in Computer Science, стр. 566-574. Springer, (2009)Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation., , , и . ICASSP (5), стр. 1097-1100. IEEE, (2006)