Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis

Objective: Analysis of functional magnetic resonance imaging (fMRI) data from multiple subjects is at the heart of many medical imaging studies, and approaches based on dictionary learning (DL) are recently noted as promising solutions to the problem. However, the DL-based methods for fMRI analysis...

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Vydané v:	IEEE transactions on biomedical engineering Ročník 65; číslo 11; s. 2519 - 2528
Hlavní autori:	Iqbal, Asif, Seghouane, Abd-Krim, Adali, Tulay
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Computer simulation Data analysis Data processing Datasets Dictionaries Dictionary learning Encoding Functional magnetic resonance imaging functional magnetic resonance imaging (fMRI) Heart Learning Machine learning Magnetic resonance imaging Medical imaging multi-subject analysis sparse decomposition Sparse matrices Task analysis temporal concatenation
ISSN:	0018-9294, 1558-2531, 1558-2531
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