An event-based disease progression model and its application to familial Alzheimer's disease

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6801 LNCS, Issue , 2011, Pages 748-759

  Fonteijn, Hubert M ^a   Clarkson, Matthew J ^a   Modat, Marc ^a   Barnes, Josephine ^b   Lehmann, Manja ^b   Ourselin, Sebastien ^a   Fox, Nick C ^b   Alexander, Daniel C ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Alzheimer's disease; atrophy; computational model; Disease progression

Indexed keywords

ALZHEIMER'S DISEASE; ATROPHY; BAYESIAN ESTIMATION FRAMEWORK; COMPUTATIONAL MODEL; DISEASE PROGRESSION; EVENT SEQUENCE; EVENT-BASED; EVENT-BASED MODEL; FORWARD MODELS; NEURONAL ATROPHY;

BAYESIAN NETWORKS; DATA PROCESSING; MEDICAL IMAGING; TISSUE;

NEURODEGENERATIVE DISEASES;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DISEASE COURSE; GENETICS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ALZHEIMER DISEASE; BRAIN; COMPUTER SIMULATION; DISEASE PROGRESSION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79959574760     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_61     Document Type: Conference Paper

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