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URL: https://github.com/BRAINSia/BRAINSTools/tree/master/BRAINSMush
Proper Citation: BRAINSMush (RRID:SCR_009485)
Description: Tool to generate brain volume mask from input of T1 and T2-weighted images alongside a region of interest brain mask. This volume mask omits dura, skull, eyes, etc. The program is built upon ITK and uses the Slicer3 execution model framework to define the command line arguments and can be fully integrated with Slicer3 using the module discovery capabilities of Slicer3.
Abbreviations: BRAINSMush
Resource Type: data processing software, image analysis software, segmentation software, software application, software resource
Keywords: analyze, application, bsd license, bsd/mit-style open source license, c++, console (text based), dicom, magnetic resonance, nifti, nrrd, segmentation
Availability: BSD License
Resource Name: BRAINSMush
Resource ID: SCR_009485
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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
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
