Titlebook: Computational Diffusion MRI; 12th International W Suheyla Cetin-Karayumak,Daan Christiaens,Tomasz Pi Conference proceedings 2021 Springer N

淹沒

書目名稱Computational Diffusion MRI影響因子(影響力)




書目名稱Computational Diffusion MRI影響因子(影響力)學(xué)科排名




書目名稱Computational Diffusion MRI網(wǎng)絡(luò)公開度




書目名稱Computational Diffusion MRI網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Diffusion MRI被引頻次




書目名稱Computational Diffusion MRI被引頻次學(xué)科排名




書目名稱Computational Diffusion MRI年度引用




書目名稱Computational Diffusion MRI年度引用學(xué)科排名




書目名稱Computational Diffusion MRI讀者反饋




書目名稱Computational Diffusion MRI讀者反饋學(xué)科排名

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多產(chǎn)子

Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI The model is typically fit voxel-by-voxel to the MRI image with least squares minimisation to give voxelwise maps of parameters relating to microstructural?features, such as diffusivities and tissue compartment fractions. However, this fitting approach is susceptible to voxelwise noise, which can l

Ostrich

Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks Imaging (dMRI) data. One of the main drawbacks of this approach is that the number of microstructural features needs to be decided a priori and it is embedded in the model definition. However, the number of microstructural features which is possible to obtain from dMRI data given the acquisition sc

motor-unit

Synthesizing VERDICT Maps from Standard DWI Data Using GANs-invasively. However, the quantitative estimation of VERDICT maps requires a specific diffusion-weighed imaging (DWI) acquisition. In this study we investigate the feasibility of synthesizing VERDICT maps from standard DWI data from multi-parametric (mp)-MRI by employing conditional generative adver

motor-unit

A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging-weighted MRI images, which can be representative of brain white matter fibers. In this work we consider the problem of constructing bundles of tracks between seed and target regions in the most efficient way. In contrast to streamline based methods, a naive region-to-region geodesic approach for fi

周年紀(jì)念日

Fast Tractography Streamline Searchon enables the use of binary search trees to increase the tractography clustering speed without reducing its accuracy. This hierarchical framework offers an upper bound and a lower bound for the point-wise distance between two streamlines, which guarantees the validity of a proximity search. The res

TAP

bioavailability

Diffusion MRI Automated Region of?Interest Analysis in Standard Atlas Space versus the Individual’s RI images as a tensor. Classic DTI parameters (e.g., mean diffusivity or MD, fractional anisotropy or FA) derived from the eigenvalues of tensors have been widely used to describe white matter properties. More recently, novel metrics like neurite orientation dispersion and density imaging (NODDI) ha