Feature-based morphometry: discovering group-related anatomical patterns.
about
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging.Learning-based prediction of gestational age from ultrasound images of the fetal brainCombined analysis of sMRI and fMRI imaging data provides accurate disease markers for hearing impairment.A Feature-Based Approach to Big Data Analysis of Medical ImagesMorphometry based on effective and accurate correspondences of localized patterns (MEACOLP).Keypoint Transfer Segmentation.ODVBA: optimally-discriminative voxel-based analysisClassification of brain disease in magnetic resonance images using two-stage local feature fusionRobust automated constellation-based landmark detection in human brain imaging.Efficient and robust model-to-image alignment using 3D scale-invariant features.Classification of amyloid status using machine learning with histograms of oriented 3D gradients.Blob-like feature extraction and matching for brain MR images.Dictionary Pruning with Visual Word Significance for Medical Image Retrieval.Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights.Quantitative analysis of structural neuroimaging of mesial temporal lobe epilepsy.Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder.Speed of facial affect intensity recognition as an endophenotype of first-episode psychosis and associated limbic-cortical grey matter systems.Classification and localization of early-stage Alzheimer's disease in magnetic resonance images using a patch-based classifier ensemble.Automated diagnosis of Alzheimer disease using the scale-invariant feature transforms in magnetic resonance images.Characterization of brain anatomical patterns by comparing region intensity distributions: Applications to the description of Alzheimer's disease.A hybrid computational approach for efficient Alzheimer's disease classification based on heterogeneous data.
P2860
Q28603594-A0F29604-63AA-4270-AC3E-20388C73B871Q30415467-5F3651D1-9866-4C18-97A0-44BF225C6AEDQ30445589-0844A0E3-7C21-4F18-ACDF-A93569146F7CQ30983735-0D66FAF2-FF8C-4E6E-AA79-E8E4E95DCB18Q34249370-43ED577E-BCBB-4ECC-9974-808F62F1D937Q35920135-54365B94-51BC-498B-A33F-3B176B84F554Q36110349-A387D0D0-E2F6-4DAB-8DCF-8D0EA9987D87Q36282942-2FC56933-B37E-44F0-A1E2-A4155CB1DA3FQ36341409-12808289-653C-4373-B677-334B48C5AAABQ36711415-0EB441DC-6741-4BA2-96A6-FF72F53A332BQ37497463-8A715348-30CE-498A-BE4C-46E6D50D2E61Q37677088-DFA87577-1027-4892-8F51-26E1C0C7F2B0Q38386977-DB690394-A916-4B87-BE67-5C0365EE752EQ39172366-95999161-300B-4708-97A3-4AD40883FF9BQ41977524-80FE6D64-C70C-4F48-A121-D13740090F4CQ45960669-C1CD674D-AC62-47DC-BC49-127C40599647Q47616212-C27A94A9-BE5E-41D1-8DC7-1975A930B2B9Q48706392-B333B03F-A2C2-4A82-BF93-FDE30A02118BQ51568094-2E128BAC-DEF8-4CD3-8DA6-A2D1ED30E645Q53829181-8B553606-4614-41B1-B951-2338A4FF07D4Q55445833-83DFD511-4BE3-4C85-8449-529F234F4569
P2860
Feature-based morphometry: discovering group-related anatomical patterns.
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Feature-based morphometry: discovering group-related anatomical patterns.
@ast
Feature-based morphometry: discovering group-related anatomical patterns.
@en
type
label
Feature-based morphometry: discovering group-related anatomical patterns.
@ast
Feature-based morphometry: discovering group-related anatomical patterns.
@en
prefLabel
Feature-based morphometry: discovering group-related anatomical patterns.
@ast
Feature-based morphometry: discovering group-related anatomical patterns.
@en
P2093
P2860
P1433
P1476
Feature-based morphometry: discovering group-related anatomical patterns
@en
P2093
Matthew Toews
William Wells
P2860
P304
P356
10.1016/J.NEUROIMAGE.2009.10.032
P407
P577
2009-10-21T00:00:00Z