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URL: http://caid.cs.uga.edu/?name=software
Proper Citation: DICCCOL predictor (RRID:SCR_009554)
Description: A software toolbox to predict 358 DICCCOL landmarks (Dense Individualized and Common Connectivity-based Cortical landmarks (http://dicccol.cs.uga.edu) ) on a new brain given b0, brain surface data and DTI derived fiber data (vtk format). Each DICCCOL landmark is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. DICCCOL aims to provide large-scale cortical landmarks with finer granularity, better functional homogeneity, more accurate functional localization, and automatically-established cross-subjects correspondence.
Abbreviations: DICCCOL
Synonyms: Dense Individualized and Common Connectivity-based Cortical Landmarks predictor
Resource Type: software resource, software toolkit
Keywords: c++, linux, magnetic resonance, posix/unix-like, dti
Availability: Open unspecified license, GPL-Style Open unspecified license
Resource Name: DICCCOL predictor
Resource ID: SCR_009554
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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