Making use of longitudinal information in pattern recognition

Author:

Aksman Leon M.1ORCID,Lythgoe David J.1,Williams Steven C.R.1,Jokisch Martha2,Mönninghoff Christoph3,Streffer Johannes4,Jöckel Karl-Heinz5,Weimar Christian2,Marquand Andre F.16

Affiliation:

1. Department of Neuroimaging; Institute of Psychiatry, Psychology & Neuroscience, King's College London; London United Kingdom

2. Department of Neurology; University Hospital Essen, University of Duisburg-Essen; Essen Germany

3. Department of Diagnostic and Interventional Radiology and Neuroradiology; University Hospital Essen, University of Duisburg-Essen; Essen Germany

4. Janssen-Pharmaceutical Companies of Johnson & Johnson; Janssen Research and Development; Beerse Belgium

5. Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen; Germany

6. Donders Institute for Brain, Cognition and Behaviour, Radboud University; Nijmegen the Netherlands

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference63 articles.

1. Gray matter atrophy rate as a marker of disease progression in AD;Anderson;Neurobiol Aging,2012

2. Non-linear optimisation;Andersson;FMRIB Tech Rep,2007a

3. Non-linear registration aka Spatial normalisation;Andersson;FMRIB Tech Rep,2007b

4. A fast diffeomorphic image registration algorithm;Ashburner;NeuroImage,2007

5. Symmetric diffeomorphic modeling of longitudinal structural MRI;Ashburner;Brain Imaging Methods,2013

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