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» An automatic unsupervised classification of MR images in Alz...
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ICIP
2008
IEEE
13 years 11 months ago
Shape analysis of brain ventricles for improved classification of Alzheimer's patients
One of the hallmarks of Alzheimer’s disease (AD) is the loss of neurons in the brain. In many cases, the medical experts use MR (magnetic resonance) images to qualitatively meas...
Jingnan Wang, Ahmet Ekin, Gerard de Haan
ISBI
2007
IEEE
13 years 11 months ago
Pib-Pet Segmentation for Automatic Suvr Normalisation without Mr Information
Pittsburg Compound B (PIB) is a Positron Emission Tomography (PET) radio tracer used to image in-vivo, beta amyloid plaques which are one of the major histopathological hallmarks ...
Parnesh Raniga, Pierrick Bourgeat, Sébastie...
MICCAI
2009
Springer
14 years 6 months ago
MKL for Robust Multi-modality AD Classification
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
Chris Hinrichs, Vikas Singh, Guofan Xu, Sterlin...
ISBI
2008
IEEE
14 years 5 months ago
Quantified brain asymmetry for age estimation of normal and AD/MCI subjects
We propose a quantified asymmetry based method for age estimation. Our method uses machine learning to discover automatically the most discriminative asymmetry feature set from di...
Leonid Teverovskiy, James T. Becker, Oscar L. Lope...
BIODATAMINING
2008
163views more  BIODATAMINING 2008»
13 years 4 months ago
Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing
Background: Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in parti...
Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswa...