Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; 21st International C Alejandro F. Frangi,Julia A. Schnabel,Gabor

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書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018影響因子(影響力)




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018影響因子(影響力)學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018網(wǎng)絡公開度




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018網(wǎng)絡公開度學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018被引頻次




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018被引頻次學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018年度引用




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018年度引用學科排名




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018讀者反饋




書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2018讀者反饋學科排名

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Penalized Geodesic Tractography for Mitigating Gyral Biasor improving cortical connectomics. Unlike deterministic and probabilistic tractography algorithms that perform one-way tracking, PGT solves a global optimization problem in estimating the pathways connecting multiple regions, instead of local step-by-step orientation tracing. PGT is unconfounded by

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Tract-Specific Group Analysis in Fetal Cohorts Using , Diffusion Tensor Imagingts from preterm neonates to adults. The application of these methods to fetal cohorts, however, has been hampered by the challenging nature of . fetal DTI caused by unconstrained fetal motion, limited scan times, and limited signal-to-noise ratio. We present a framework that addresses these issues t

繁殖

Tract Orientation Mapping for Bundle-Specific Tractographyfrom diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce. Tract orientation mapping (TOM) is a novel concept that facilitates bundle-specific tractography based on a learned mapping from the original fiber orientation distribution function (fODF) peaks to

顧客

A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributionste, most tractography algorithms exhibit gyral bias with fiber streamlines preferentially terminating at gyral crowns rather than sulcal banks or fundi. In this work, we will demonstrate that a multi-tissue global estimation framework of the asymmetric fiber orientation distribution function (AFODF)

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Identification of Gadolinium Contrast Enhanced Regions in MS Lesions Using Brain Tissue Microstructu undergoing active BBB breakdown is of critical importance for MS burden evaluation and treatment planning. However in non-contrast enhanced structural magnetic resonance imaging (MRI) the regions of the lesion undergoing active BBB breakdown cannot be distinguished from the other parts of the lesio

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Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine LearningDiffusion-weighted MR imaging (DWI) plays a central role in these efforts by enabling rapid early localization and quantification of ischemic lesions. Automated detection and quantification can potentially accelerate diagnosis, improve treatment safety and efficacy and reduce costs. However, the man