Titlebook: Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017; 20th International C Maxime Descoteaux,Lena Maier-Hein,Simon Duch

毛發(fā)

書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017影響因子(影響力)




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017影響因子(影響力)學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017網(wǎng)絡公開度




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017網(wǎng)絡公開度學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017被引頻次




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017被引頻次學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017年度引用




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017年度引用學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017讀者反饋




書目名稱Medical Image Computing and Computer Assisted Intervention ? MICCAI 2017讀者反饋學科排名

Silent-Ischemia

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/629232.jpg

curriculum

978-3-319-66181-0Springer International Publishing AG 2017

現(xiàn)代

Irksome

https://doi.org/10.1007/978-3-319-66182-7artificial intelligence; computer vision; estimation; face recognition; image analysis; image processing;

謊言

Conference proceedings 2017 and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017..The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process.?The papers have been organized in the following topical?sections: Part I: at

monogamy

analogous

resuscitation

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlasesompared with existing methods, including the one using sparse representation with . regularization, our approach generates longitudinal infant atlases with much richer and more consistent features of the developing infant brain, as shown by the experimental results.

idiopathic

Falx Cerebri Segmentation via Multi-atlas Boundary Fusionce. The continuous-STAPLE algorithm fuses sets of corresponding points to produce an estimate of the corrected falx boundary. Correspondence between points on the deformed falx boundaries is obtained using coherent point drift. We compare our method to manual ground truth, a multi-atlas approach without correction, and single-atlas approaches.