Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding

Medical Image Analysis

Volumn 18, Issue 8, 2014, Pages 1337-1348

  Ghanbari, Yasser ^a   Smith, Alex R ^a   Schultz, Robert T ^b   Verma, Ragini ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

Author keywords

Autism and development; Connectivity analysis; Diffusion MRI; Graph embedding; Non negative matrix factorization

Indexed keywords

BRAIN; DIFFUSION; DIFFUSION TENSOR IMAGING; DISEASES; MAGNETIC RESONANCE IMAGING; MATRIX ALGEBRA; NETWORK COMPONENTS; PATHOLOGY; TENSORS;

AUTISM AND DEVELOPMENT; CONNECTIVITY ANALYSIS; DIFFUSION MRIS; GRAPH EMBEDDINGS; NONNEGATIVE MATRIX FACTORIZATION;

FACTORIZATION;

ADOLESCENT; AGING; ALGORITHM; AUTISM; AUTOMATED PATTERN RECOGNITION; BRAIN; CHILD; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; NERVE CELL NETWORK; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; AGING; ALGORITHMS; AUTISTIC DISORDER; BRAIN; CHILD; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84926279356     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.06.006     Document Type: Article

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