A mixed-effects model with time reparametrization for longitudinal univariate manifold-valued data

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

Volumn 9123, Issue , 2015, Pages 564-575

  Schiratti, J B ^a,c   Allassonniere S ^c   Routier, A ^a   Colliot, O ^a,b   Durrleman, S ^a  

^a INSTITUT DU CERVEAU ET DE LA MOELLE ÉPINIÈRE   (France)

^b PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^c ECOLE POLYTECHNIQUE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

NEUROIMAGING; SOLDERED JOINTS; THICKNESS MEASUREMENT;

ACCELERATION FACTORS; DISEASE PROGRESSION; MANIFOLD-VALUED DATUM; MIXED EFFECTS MODELS; NEUROPSYCHOLOGICAL ASSESSMENT; RIEMANNIAN MANIFOLD; STATISTICAL MODELING; THEORETICAL FRAMEWORK;

NEURODEGENERATIVE DISEASES;

ALGORITHM; ALZHEIMER DISEASE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; LONGITUDINAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ALZHEIMER DISEASE; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84983627539     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19992-4_44     Document Type: Conference Paper

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