Morphometry based on effective and accurate correspondences of localized patterns (MEACOLP).

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Morphometry based on effective and accurate correspondences of localized patterns (MEACOLP). is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2012PLoSO...735745W
P356DOI10.1371/JOURNAL.PONE.0035745
P932PMC publication ID3335130
P698PubMed publication ID22540000
P5875ResearchGate publication ID224856315

P50authorLijun BaiQ59681425
P2093author name stringHu Wang
Jie Tian
Wensheng Zhang
Yanshuang Ren
P2860cites workMapping hippocampal and ventricular change in Alzheimer disease.Q51993016
Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease.Q53390356
Distinctive Image Features from Scale-Invariant KeypointsQ54155936
Voxel-Based Morphometry of the Human Brain: Methods and ApplicationsQ57003807
Cognitive impairment in Alzheimer's disease correlates with ventricular width and atrophy-corrected cortical glucose metabolismQ72039961
Regional brain stem atrophy in idiopathic Parkinson's disease detected by anatomical MRIQ21091165
Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's diseaseQ22242926
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older AdultsQ26253918
A performance evaluation of local descriptorsQ27461536
Voxel-based morphometry–the methodsQ28138780
Focal posterior cingulate atrophy in incipient Alzheimer's diseaseQ28278829
Scale-space theory: a basic tool for analyzing structures at different scalesQ29041433
The Clinical Dementia Rating (CDR): current version and scoring rulesQ29616280
Early diagnosis of Alzheimer's disease: contribution of structural neuroimagingQ30770505
Neurological basis of poor insight in psychosis: a voxel-based MRI studyQ33754221
"Voxel-based morphometry" should not be used with imperfectly registered imagesQ34101618
Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI databaseQ34120412
Feature-based morphometry: discovering group-related anatomical patterns.Q35009298
Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI.Q36861179
Structural anatomy of empathy in neurodegenerative diseaseQ36925661
3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's diseaseQ37363776
Combined volumetric and surface registrationQ37387543
Accelerating regional atrophy rates in the progression from normal aging to Alzheimer's diseaseQ37424613
Registration accuracy for VBM studies varies according to region and degenerative disease grouping.Q38377864
n-SIFT: n-dimensional scale invariant feature transformQ44783385
A statistical parts-based model of anatomical variability.Q45965419
COMPARE: classification of morphological patterns using adaptive regional elements.Q45965571
Morphological classification of brains via high-dimensional shape transformations and machine learning methods.Q45966871
Shape differences of the brain ventricles in Alzheimer's diseaseQ48472480
Deformation-based morphometry and its relation to conventional volumetry of brain lateral ventricles in MRI.Q48881220
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue4
P407language of work or nameEnglishQ1860
P304page(s)e35745
P577publication date2012-04-23
P1433published inPLOS OneQ564954
P1476titleMorphometry based on effective and accurate correspondences of localized patterns (MEACOLP).
P478volume7

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cites work (P2860)
Q48706392Classification and localization of early-stage Alzheimer's disease in magnetic resonance images using a patch-based classifier ensemble
Q36282942Classification of brain disease in magnetic resonance images using two-stage local feature fusion
Q37217107Gross feature recognition of Anatomical Images based on Atlas grid (GAIA): Incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI.

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