Nipype, an open-source, community-developed initiative under the umbrella of NiPy, is a Python project that provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. Nipype provides an environment that encourages
... [More] interactive exploration of algorithms from different packages (e.g., SPM, FSL, FreeSurfer, AFNI, Slicer), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems. [Less]
The purpose of NIPY is to make it easier to do better brain imaging research. We believe that neuroscience ideas and analysis ideas develop together. Good ideas come from understanding; understanding comes from clarity, and clarity must come from well-designed teaching materials and well-designed
... [More] software. The software must be designed as a natural extension of the underlying ideas.
We aim to build software that is:
* clearly written
* clearly explained
* a good fit for the underlying ideas
* a natural home for collaboration [Less]
XNAT is an open-source imaging informatics software platform dedicated to helping you perform imaging-based research. XNAT’s core functions manage importing, archiving, processing and securely distributing imaging and related study data. But its extended uses continue to evolve.
The Medical Image Registration ToolKit (MIRTK) is a research-focused image processing toolkit, developed at the BioMedIA research group. It provides a collection of libraries and command-line tools to assist in processing and analyzing imaging data. The main application of the MIRTK is in adult and
... [More] neonatal brain MR image registration as well as the reconstruction of cortical surface meshes.
See the online documentation for more information. [Less]
FreeROI is a versatile image processing software developed for neuroimaging data. Its goal is to provide a user-friendly interface for neuroimaging researchers to visualize and analyze their data, especially in defining region of interest (ROI) for ROI analysis.
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