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Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.

, , , , , and . NeuroImage, 51 (1): 221-227 (2010)

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A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment., , , , , , , and . ISBI, page 875-878. IEEE, (2011)Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan., , , , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72591A. SPIE, (2009)Regional Analysis of FDG-PET for the Classification of Alzheimers Disease., , , , , , and . MIUA, page 305-310. BMVA, (2011)Geodesic Shape-Based Averaging., , , , , and . MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 26-33. Springer, (2012)Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation., , , , , and . NeuroImage, 51 (1): 221-227 (2010)Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy., , , , , , and . ISBI, page 105-108. IEEE, (2010)Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease., , , , , , and . ISBI, page 1082-1085. IEEE, (2011)Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations., , , , and . MMBIA, page 153-158. IEEE, (2012)