Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011; 14th International C Gabor Fichtinger,Anne Martel,Terry Peters Co

Opiate

書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011影響因子(影響力)




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011影響因子(影響力)學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011網(wǎng)絡(luò)公開度




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011被引頻次




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011被引頻次學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011年度引用




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011年度引用學(xué)科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011讀者反饋




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011讀者反饋學(xué)科排名

手術(shù)刀

擁護(hù)

https://doi.org/10.1007/978-3-642-23629-7bioinformatics; computer aided diagnosis; image guided surgery; medical image analysis; visual simulatio

不怕任性

978-3-642-23628-0Springer-Verlag GmbH Berlin Heidelberg 2011

Tracheotomy

保全

Detecting Structure in Diffusion Tensor MR ImagesFurther, we extend corner and curvature feature detectors to DTI using our differential operators. Results using the feature detectors on diffusion tensor MR images show the ability to highlight structure within the image that existing methods cannot.

dura-mater

Segmenting Thalamic Nuclei: What Can We Gain from HARDI?acquiring HARDI data at .?=?1000 s/mm.. However, based on stability arguments, as well as further visual and statistical evidence and theoretical insights about the impact of parameters, HARDI models such as the q-ball do not exhibit clear benefits over the standard diffusion tensor for thalamus segmentation at this . value.

削減

競選運(yùn)動

irreparable

Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensorng and feature selection using voxelwise multivariate regression analysis. This approach was tested on data obtained from 30 children and adolescents with autism spectrum disorder and showed some improvement over the FA-only analysis.