Rosa Chaves

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Medical image reconstruction from projections is computa-tionally intensive task that demands solutions for reducing the processing delay in clinical diagnosis applications. This paper analyzes reconstruction methods combined with pre-and post-filtering for Single Photon Emission Computed Tomography (SPECT) in terms of convergence speed and image quality.(More)
Keywords: Alzheimer's disease (AD) Computer aided diagnosis Principal component analysis (PCA) Independent component analysis (ICA) Support vector machine (SVM) Supervised learning FDG-PET a b s t r a c t Finding sensitive and appropriate technologies for non-invasive observation and early detection of Alzheimer's disease (AD) is of fundamental importance(More)
Keywords: Computer aided diagnosis Alzheimer's disease Support vector machines Single photon emission computed tomography a b s t r a c t Alzheimer's disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with behavioural impairments and eventually causing death.(More)
A fundamental challenge that remains unsolved in the neuroimage field is the small sample size problem. Feature selection and extraction, which are based on a limited training set, are likely to display poor generalization performance on new datasets. To address this challenge, a novel voxel selection method based on association rule (AR) mining is proposed(More)
Keywords: Computer-aided diagnosis system Alzheimer's disease PLS GMM Support vector machine ADNI database a b s t r a c t Several approaches appear in literature in order to develop Computed-Aided-Diagnosis (CAD) systems for Alzheimer's disease (AD) detection. Although univariate models became very popular and nowadays they are widely used, recent(More)