Predicting outcome and recovery after stroke with lesions extracted from MRI images

NeuroImage: Clinical

Volumn 2, Issue 1, 2013, Pages 424-433

  Hope, Thomas M H ^a   Seghier, Mohamed L ^a   Leff, Alex P ^b,c   Price, Cathy J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Aphasia; Gaussian processes; Machine learning; Recovery; Speech production; Stroke

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN SCINTISCANNING; CEREBROVASCULAR ACCIDENT; COGNITIVE DEFECT; CONTROLLED STUDY; DISEASE SEVERITY; FEMALE; HUMAN; IMAGE PROCESSING; LEARNING; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING;

EID: 84876140388     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2013.03.005     Document Type: Article

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