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URL: https://github.com/pjmark/NiftyPET
Proper Citation: NiftyPET (RRID:SCR_015873)
Description: Python software package that offers quantitative PET image reconstruction and analysis with high accuracy and precision. It is written in CUDA C and embedded in Python C extensions.
Resource Type: data processing software, data visualization software, image analysis software, software application, software resource, software toolkit, source code
Defining Citation: DOI:10.1007/s12021-017-9352-y
Keywords: python, cuda c, python c, pet, image reconstruction, image analysis, bio.tools
Availability: Free, Available for download, Runs on Windows, Runs on Linux
Resource Name: NiftyPET
Resource ID: SCR_015873
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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.
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