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Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.

, , , , , and . NeuroImage, 60 (1): 221-229 (2012)

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The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation., , , , and . ISBI, page 1191-1194. IEEE, (2009)A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment., , , , , , , and . ISBI, page 875-878. IEEE, (2011)Macroanatomy and 3D probabilistic atlas of the human insula., , , and . NeuroImage, (2017)Classifier Selection Strategies for Label Fusion Using Large Atlas Databases., , , , and . MICCAI (1), volume 4791 of Lecture Notes in Computer Science, page 523-531. Springer, (2007)Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia., , , , and . MLMI, volume 7009 of Lecture Notes in Computer Science, page 159-166. Springer, (2011)Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease., , , , , and . NeuroImage, 60 (1): 221-229 (2012)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)Improving whole-brain segmentations through incorporating regional image intensity statistics., , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86691M. SPIE, (2013)Regional Analysis of FDG-PET for the Classification of Alzheimers Disease., , , , , , and . MIUA, page 305-310. BMVA, (2011)Evaluation of several multi-atlas methods for PSEUDO-CT generation in brain MRI-PET attenuation correction., , , , , and . ISBI, page 1431-1434. IEEE, (2015)