The nature of statistical learning theory
The nature of statistical learning theory
Deformation Analysis for Shape Based Classification
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Intuitive, Localized Analysis of Shape Variability
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Performance Issues in Shape Classification
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Statistical shape analysis of anatomical structures
Statistical shape analysis of anatomical structures
A multivariate statistical analysis of the developing human brain in preterm infants
Image and Vision Computing
A surface-based approach for classification of 3D neuroanatomic structures
Intelligent Data Analysis
Spatio-temporal analysis of brain MRI images using hidden Markov models
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
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In this paper, we present a methodology for performing statistical analysis for image-based studies of differences between populations and describe our experience applying the technique in several different population comparison experiments. Unlike traditional analysis tools, we consider all features simultaneously, thus accounting for potential correlations between the features. The result of the analysis is a classifier function that can be used for labeling new examples and a map over the original features indicating the degree to which each feature participates in estimating the label for any given example. Our experiments include shape analysis of subcortical structures in schizophrenia, cortical thinning in healthy aging and Alzheimer's disease and comparisons of fMRI activations in response to different visual stimuli.