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CVPR
2010
IEEE
14 years 7 months ago
An automatic unsupervised classification of MR images in Alzheimer's disease
Image-analysis methods play an important role in helping detect brain changes in and diagnosis of Alzheimer's Disease (AD). In this paper, we propose an automatic unsupervised...
Xiaojing Long
ISBI
2007
IEEE
14 years 5 months ago
Dicovery of "biomarkers" for Alzheimer's Disease Prediction from Structural MR Images
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...
MICCAI
2006
Springer
15 years 2 days ago
Simulation of Local and Global Atrophy in Alzheimer's Disease Studies
Abstract. We propose a method for atrophy simulation in structural MR images based on finite-element methods, providing data for objective evaluation of atrophy measurement techniq...
Oscar Camara-Rey, Martin Schweiger, Rachael I. Sca...
MICCAI
2010
Springer
13 years 9 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...