Titlebook: Machine Learning in Medical Imaging; Third International Fei Wang,Dinggang Shen,Kenji Suzuki Conference proceedings 2012 Springer-Verlag B

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Loizos Markides,Duncan Fyfe Gilliesof theory and practice in lifelong learning as it relates to later life is an absolute tour de force. Alexandra Withnall, Universities of Warwick and Leicester, UK.This is a book that needed to be written: it provides a most thorough and skilful analysis of a comprehensive range of contemporary lite

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Aydın Ulaş,Mehmet Gönen,Umberto Castellani,Vittorio Murino,Marcella Bellani,Michele Tansella,Paolo B absolute tour de force. Alexandra Withnall, Universities of Warwick and Leicester, UK.This is a book that needed to be written: it provides a most thorough and skilful analysis of a comprehensive range of contemporary literature about learning in later life from many localities and countries of the

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Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries,d or manually specified coronary ostium. No or little high level prior information is used; therefore, the centerline tracing procedure may terminate early at a severe occlusion or an anatomically inconsistent centerline course may be generated. In this work, we propose a model-driven approach to ex

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,Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease,sease (AD). Most existing methods aimed to extract discriminative features from neuroimaging data and then build a supervised classifier for classification. However, due to the rich imaging features and small sample size of neuroimaging data, it is still challenging to make use of features to achiev

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Dense Deformation Reconstruction via Sparse Coding,e landmark points. Previous methods generally use a certain pre-defined deformation model, e.g., B-Spline or Thin-Plate Spline, for dense deformation interpolation, which may affect the final registration accuracy since the actual deformation may not exactly follow the pre-defined model. To address

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