Towards automated detection of depression from brain structural magnetic resonance images.
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Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO.Sparse network-based models for patient classification using fMRI.Application of clinical bioinformatics in lung cancer-specific biomarkers.Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection.
P2860
Towards automated detection of depression from brain structural magnetic resonance images.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Towards automated detection of ...... ral magnetic resonance images.
@ast
Towards automated detection of ...... ral magnetic resonance images.
@en
Towards automated detection of ...... ral magnetic resonance images.
@nl
type
label
Towards automated detection of ...... ral magnetic resonance images.
@ast
Towards automated detection of ...... ral magnetic resonance images.
@en
Towards automated detection of ...... ral magnetic resonance images.
@nl
prefLabel
Towards automated detection of ...... ral magnetic resonance images.
@ast
Towards automated detection of ...... ral magnetic resonance images.
@en
Towards automated detection of ...... ral magnetic resonance images.
@nl
P2860
P1433
P1476
Towards automated detection of ...... ral magnetic resonance images.
@en
P2093
Abbas Z Kouzani
Kuryati Kipli
P2860
P2888
P304
P356
10.1007/S00234-013-1139-8
P577
2013-01-22T00:00:00Z
P6179
1051940619