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Titlebook: Medical Computer Vision: Algorithms for Big Data; International Worksh Bjoern Menze,Georg Langs,Dimitris Metaxas Conference proceedings 201

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Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brainsied to estimate the missing cortical thickness maps in a longitudinal infant dataset, which includes 31 healthy subjects, with each having up to 5 scans. The experimental results indicate that our method can accurately estimate missing cortical thickness maps, with the average vertex-wise error less than 0.23 mm.
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Joint Feature-Sample Selection and Robust Classification for Parkinson’s Disease Diagnosisa robust classification framework is proposed that can simultaneously de-noise the selected subset of features and samples, and learn a classification model. Our model can further de-noise the test samples based on the cleaned training data. Experimental results on both synthetic and a publicly available PD dataset show promising results.
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