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» Detection of Mild Cognitive Impairment Using Image Differenc...
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BIBE
2010
IEEE
155views Bioinformatics» more  BIBE 2010»
13 years 5 months ago
Detection of Mild Cognitive Impairment Using Image Differences and Clinical Features
Lin Li, James Z. Wang, Dheeraj Chahal, Mark A. Eck...
ISBI
2006
IEEE
14 years 5 months ago
Mapping ventricular changes related to dementia and mild cognitive impairment in a large community-based cohort
We present a fully-automated technique for visualizing localized cerebral ventricle shape differences between large clinical subject groups who have received a magnetic resonance ...
Owen T. Carmichael, Paul M. Thompson, Rebecca A. D...
ICPR
2010
IEEE
13 years 3 months ago
Boosting Alzheimer Disease Diagnosis Using PET Images
—Alzheimer’s disease (AD) final is one of the most frequent type of dementia. Currently there is no cure for AD and early diagnosis is crucial to the development of treatments...
Margarida Silveira, Jorge S. Marques
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 7 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
TMI
2010
172views more  TMI 2010»
13 years 3 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...