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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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978-3-319-42015-8Springer International Publishing Switzerland 2016
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Medical Computer Vision: Algorithms for Big Data978-3-319-42016-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosisects. Finally, we learn a classifier based on selected features in each atlas space, followed by an ensemble classification strategy to combine multiple classifiers for making a final decision. Experimental results on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database demonstrate that o
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Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdtion. As for the structural information, we enhance the vasculature using a vesselness filter. Similar volumes in a training dataset with respect to the vasculature structure are selected and used for atlas generation. Using 150 cases of contrast-enhanced 3D abdominal CT volumes, our experiment impr
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Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity tasks, and develop a class of algorithms to solve them efficiently. Experiments on parallel dynamic MRI datasets demonstrate that our proposed methods outperform the state-of-the-art parallel MRI reconstruction algorithms.
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Henning Müller,Bjoern Menze,Georg Langs,Albert Montillo,Michael Kelm,Shaoting Zhang,Weidong Cai,Dimie (CR) is violated..But in the particular case under consideration better properties can be obtained without supposing (CR). Especially in the case . = 1 (.∈}; ..), the functions ..(.) can be rearranged and partially redefined in such a way, that an analogous . representation holds. Then, all functi
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