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Robust parametric modeling of Alzheimer's disease progression.

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第一作者： Mostafa,Mehdipour Ghazi

第一单位： Biomediq A/S, Copenhagen, DK; Cerebriu A/S, Copenhagen, DK; Department of Computer Science, University of Copenhagen, Copenhagen, DK; Department of Medical Physics and Biomedical Engineering, University College London, London, UK. Electronic address: mehdipour@biomediq.com.

作者： Mostafa,Mehdipour Ghazi ^[1] ; Mads,Nielsen ^[2] ; Akshay,Pai ^[2] ; Marc,Modat ^[3] ; M,Jorge Cardoso ^[3] ; Sébastien,Ourselin ^[3] ; Lauge,Sørensen ^[2]

作者单位： Biomediq A/S, Copenhagen, DK; Cerebriu A/S, Copenhagen, DK; Department of Computer Science, University of Copenhagen, Copenhagen, DK; Department of Medical Physics and Biomedical Engineering, University College London, London, UK. Electronic address: mehdipour@biomediq.com. ^[1] Biomediq A/S, Copenhagen, DK; Cerebriu A/S, Copenhagen, DK; Department of Computer Science, University of Copenhagen, Copenhagen, DK. ^[2] Department of Medical Physics and Biomedical Engineering, University College London, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. ^[3]

关键词 Alzheimer’s disease Bayesian classifier Cerebrospinal fluid Disease progression modeling Generalized logistic function Kernel density estimation M-estimation Magnetic resonance imaging Positron emission tomography