NITRC - sporedata/researchdesigneR GitHub Wiki

General description

The NeuroImaging Tools and Resources Collaboratory (NITRC) is an award-winning and free web-based resource that provides free and comprehensive data access to an ever-expanding scope of neuroinformatics software and data (CT, EEG, MEG, MRI, PET, etc.).

Since its inception in 2007, NITRC has been instrumental in advancing global neuroscience research by facilitating the use and sharing of software and data that might otherwise go unused or unnoticed. It offers the neuroscience community cost-effective resources, including complimentary access to data and scalable, pay-per-use cloud computing services. This approach empowers scientists around the world to collaborate efficiently with minimal initial investment and ongoing costs.

Related publications

• In praise of tedious anatomy
• Guidelines for reporting an fMRI study
• A novel quantitative cross-validation of different cortical surface reconstructi on algorithms using MRI phantom
• The Extensible Neuroimaging Archive Toolkit: An Informatics Platform for Managing, Exploring, and Sharing Neuroimaging Data
• Quantitative evaluation of three cortical surface flattening methods
• ABSORB: Atlas building by self-organized registration and bundling
• Brain Functional Localization: A Survey of Image Registration Techniques
• Real-Time 3D Image Registration for Functional MRI
• Quantitative comparison of algorithms for inter-subject registration of 3D volumetric brain MRI scans
• Qualitative and quantitative evaluation of six algorithms for correcting intensity nonuniformity effects
• Large deformation diffeomorphic metric mapping registration of reconstructed 3D histological section images and in vivo MR images
• In Vivo Hippocampal Measurement and Memory: A Comparison of Manual Tracing and Automated Segmentation in a Large Community-Based Sample
• Analysis of spatial relationships in three dimensions: tools for the study of nerve cell patterning
• Impact of acquisition protocols and processing streams on tissue segmentation of T1 weighted MR images
• Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction, and slice location

Data access

More information about NITRC can be found at https://www.nitrc.org/

To access NITRC data, visit https://www.nitrc.org/docman/index.php?group_id=6&selected_doc_group_id=111