Titlebook: Information Processing in Medical Imaging; 25th International C Marc Niethammer,Martin Styner,Dinggang Shen Conference proceedings 2017 Spr

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書目名稱Information Processing in Medical Imaging影響因子(影響力)




書目名稱Information Processing in Medical Imaging影響因子(影響力)學(xué)科排名




書目名稱Information Processing in Medical Imaging網(wǎng)絡(luò)公開度




書目名稱Information Processing in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Information Processing in Medical Imaging被引頻次




書目名稱Information Processing in Medical Imaging被引頻次學(xué)科排名




書目名稱Information Processing in Medical Imaging年度引用




書目名稱Information Processing in Medical Imaging年度引用學(xué)科排名




書目名稱Information Processing in Medical Imaging讀者反饋




書目名稱Information Processing in Medical Imaging讀者反饋學(xué)科排名

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Conference proceedings 2017sions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis..

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0302-9743 ical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. .The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagno

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Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex implicit lifting map to a reproducing kernel Hilbert space, and (ii)?regression against clinical variables, using .. For both methods, we employ kernels that exploit the Riemannian structure. Results on simulated and clinical data shows the improved accuracy and stability of our approach in cortical-sheet analysis.

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Stochastic Development Regression on Non-linear Manifoldsection of the manifold. We propose an estimation procedure which applies the Laplace approximation of the likelihood function. A simulation study of the performance of the model is performed and the model is applied to a real dataset of Corpus Callosum shapes.

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