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Titlebook: Information Processing in Medical Imaging; 23rd International C James C. Gee,Sarang Joshi,Lilla Zöllei Conference proceedings 2013 Springer

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Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis specifically acquired via hybrid diffusion imaging (HYDI), denoted as LDDMM-HYDI. We adopt the work given in Hosseinbor et al. (2012) and represent the .-space diffusion signal with the Bessel Fourier orientation reconstruction (BFOR) signal basis. The BFOR framework provides the representation of
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Geometric Tree Kernels: Classification of COPD from Airway Tree Geometryof-the-art graph and tree kernels use combinatorial tree/graph structure with discrete node and edge labels, the kernels presented in this paper can include geometric information such as branch shape, branch radius or other vector valued properties. In addition to being flexible in their ability to
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A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statisticsion in normal controls and diseased subjects. There is an urgent demand for the development of statistical methods for analyzing diffusion properties along major fiber tracts obtained from longitudinal DTI studies. Jointly analyzing fiber-tract diffusion properties and covariates from longitudinal s
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rworks, resistance of fluids, electricity, magnetism, music, and other subjects to the .; he was elected general secretary to the Royal Society of Edinburgh upon its founding in 1783; he “anticipated Mayer in the important electrical discovery that the law of force is very nearly or exactly in inver
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