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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) Resource Report Resource Website 50+ mentions |
National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) (RRID:SCR_007314) | NIAGADS | service resource, data set, data or information resource, data repository, database, storage service resource | National genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Data for the Alzheimer’s Disease Sequencing Project (ADSP) are available through a partnership with dbGaP (ADSP at dbGaP). Repository for many types of data generated from NIA supported grants and/or NIA funded biological samples. Data are deposited at NIAGADS or NIA-approved sites. Genetic Data and associated Phenotypic Data are available to qualified investigators in scientific community for secondary analysis. | genetics, alzheimer's disease, genome-wide association study, neurodegenerative disease, genotype, phenotype, late adult human, dna marker, dna sequencing, rna expression, rna, dna, gene |
is recommended by: National Library of Medicine is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Data Sharing Repositories is related to: Allen Institute for Brain Science has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA |
Alzheimer's disease, Late-onset Alzheimer's disease, Aging | NIH Blueprint for Neuroscience Research ; NIA U24 AG041689; NIA 3U24AG041689 |
nif-0000-00179 | http://www.nitrc.org/projects/niagads http://alois.med.upenn.edu/niagads/ | SCR_007314 | National Institute on Aging, NIA Genetics of Alzheimer's Disease Data Storage Site, Genetics of Alzheimer’s Disease Data Storage Site | 2026-07-28 09:41:44 | 60 | |||||
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NeuroLens Resource Report Resource Website 1+ mentions |
NeuroLens (RRID:SCR_007372) | NeuroLens | software application, software resource, data processing software, data visualization software, image processing software, image analysis software | An integrated environment for the analysis and visualization of functional neuroimages. It is intended to provide extremely fast and flexible image processing, via an intuitive user interface that encourages experimentation with analysis parameters and detailed inspection of both raw image data and processing results. All processing operations in NeuroLens are built around a Plugin architecture, making it easy to extend its functionality. NeuroLens runs on Apple computers based on the G4, G5, or Intel chipsets and running MacOSX 10.4 (Tiger) or later. It is available free for academic and non-profit research use. * Operating System: MacOS * Programming Language: Objective C * Supported Data Format: AFNI BRIK, ANALYZE, COR, DICOM, MGH/MGZ, MINC, Other Format | image-to-image, linear, temporal convolution - deconvolution, multivariate analysis, neuroimaging, fmri, brain structure, neural structure, brain, temporal convolution, temporal deconvolution, afni brik, analyze, cor, dicom, image display, macos, mgh/mgz, minc, magnetic resonance, objective c, registration, regression, rendering, software, spatial transformation, statistical operation, surface rendering, temporal transformation, three dimensional display, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of Montreal; Quebec; Canada |
MGH CSRL License, - free for academic and non-profit research use. | nif-0000-00333 | http://www.nitrc.org/projects/nldo | SCR_007372 | 2026-07-28 09:41:59 | 9 | |||||||
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FreeSurfer Resource Report Resource Website 10000+ mentions |
FreeSurfer (RRID:SCR_001847) | FreeSurfer | software application, software resource, data processing software, data visualization software, image analysis software | Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS. | processing, analysis, human, brain, MRI, image, reconstruction, cortical, surface, fMRI, data |
is used by: Wisconsin Cortical Thickness Analysis (CTA) Toolbox is used by: freesurfR is used by: Automatic Analysis is used by: NHP Freesurfer is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian is listed by: SoftCite is related to: PySurfer is related to: RFT FDR is related to: FMRLAB is related to: TRACULA is related to: BASH4RfMRI has parent organization: Harvard University; Cambridge; United States has plug in: JOSA works with: NIAG Addiction Data |
NCRR U24 RR021382; NINDS R01 NS052585; NCRR RR014075 |
PMID:22248573 | Free, Available for download, Freely available | nif-0000-00304 | https://sources.debian.org/src/freesurfer/, http://www.nitrc.org/projects/freesurfer, http://surfer.nmr.mgh.harvard.edu/fswiki/DownloadAndInstall | SCR_001847 | 2026-07-28 09:40:17 | 11817 | |||||
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Atlas3D Resource Report Resource Website 10+ mentions |
Atlas3D (RRID:SCR_001808) | software application, data or information resource, atlas, software resource, data visualization software, data processing software | A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images. | analysis, brain, histological, mouse, rat, slicing, structure, 3d, tomographic, visualization, neuroimaging, image, magnetic resonance, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Oslo; Oslo; Norway |
Research Council of Norway ; NIH ; NIBIB R01-EB00790; NCRR U24-RR021382 |
Free, Freely available | nif-0000-10373 | http://www.nitrc.org/projects/incf_atlas3d | SCR_001808 | Neural Systems and Graphics Computing Laboratory: Atlas3D Software, NeSys Atlas3D | 2026-07-28 09:40:25 | 17 | ||||||
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PLINK Resource Report Resource Website 10000+ mentions Issue |
PLINK (RRID:SCR_001757) | software application, data analysis software, software resource, data processing software, software toolkit | Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software. | gene, genetic, genomic, genotype, phenotype, copy number variant, whole-genome association, population, linkage analysis, whole-genome association study, data management, summary statistics, population stratification, association analysis, identity-by-descent estimation |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: SoftCite is related to: Whap is related to: PLINK/SEQ is related to: Haploview is related to: MendelIHT.jl |
PMID:17701901 DOI:10.1086/519795 |
Free, Available for download, Freely Available | nlx_154200, OMICS_00206, SCR_021271 | https://zzz.bwh.harvard.edu/plink/, https://www.cog-genomics.org/plink/1.9/general_usage#cite, https://sources.debian.org/src/plink/ | http://pngu.mgh.harvard.edu/~purcell/plink/ | SCR_001757 | PLINK 1.9, PLINK/SEQ, plink - Whole genome association analysis toolset | 2026-07-28 09:40:24 | 15344 | |||||
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NIDAG: Neuroimaging Data Access Group Resource Report Resource Website |
NIDAG: Neuroimaging Data Access Group (RRID:SCR_001674) | NIDAG | narrative resource, data or information resource, standard specification, knowledge environment, international standard specification | An international working group dedicated to improving access to neuroimaging results in a free and open-access manner. It seeks to establish a universal coordinate database, including both past papers and future studies. Their current project involves the creation of a comprehensive database of neuroimaging results searchable based on standardized coordinates. Once complete, this will allow anyone to find all of the articles that report a coordinate, or set of coordinates, easily and without cost. Eventually, they hope to expand this database to include not only coordinates, but statistical parametric maps as well. Formation of such a database will increase the likelihood of relevant papers being found and cited, and also be a very useful tool for those interested in meta-analysis, and hopefully clarify structure-function relationships. They are interested in hearing from people who might be willing to contribute to their projects, particularly those with programming experience. The number of published neuroimaging studies is increasing rapidly and it is not feasible to read them all. If a computer database could store key information from published fMRI papers and make that information easier to search or share, this would have substantial benefits for the neuroimaging community. Projects like AMAT, Brainmap, Brede and SumsDB have started to tackle this problem. NIDAG wants to formalize and improve these databases so that they meet the needs of the neuroimaging community. Formal meta-analysis of published data is a valuable way to assess the consistency and reliability of experimental results. A database of neuroimaging results would facilitate meta-analyses, in conjunction with tools like GingerALE and Multi-level Kernel Density Analysis. | fmri, database, neuroimaging, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: AMAT |
Free, Freely Available | nif-0000-10161 | http://www.nitrc.org/projects/nidag | SCR_001674 | Neuroimaging Data Access Group | 2026-07-28 09:40:14 | 0 | ||||||
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VoxBo Resource Report Resource Website 10+ mentions |
VoxBo (RRID:SCR_002166) | VoxBo | software application, software resource, data processing software, image processing software, image analysis software | Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more. | fmri, neuroimaging, brain, functional, statistical, volume, preprocessing, analysis, display, format conversion, linear, three dimensional display, workflow, lesion, analyze, c++, console (text based), dicom, image display, linux, macos, microsoft, magnetic resonance, nifti, no input/output (daemon), overlap metrics, posix/unix-like, quantification, regression, resampling, sinc function interpolation, spatial transformation, statistical operation, visualization, windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian has parent organization: neurodebian |
NIDA R01DA014418; NIMH R01MH073529 |
PMID:22348882 | Free, Available for download, Freely available | nif-0000-00353 | https://sources.debian.org/src/voxbo/, https://github.com/kimberg/voxbo | http://www.voxbo.org/ | SCR_002166 | 2026-07-28 09:40:34 | 13 | ||||
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ModelGUI Resource Report Resource Website 1+ mentions |
ModelGUI (RRID:SCR_002441) | mgui | software application, rendering software, software resource, data processing software, data visualization software | An open source Java-based project intended to provide a graphic user interface (GUI) for interactions between scientists (or enthusiasts) and their data. In its current (beta) form, mgui offers the following functionality: * Cross-platform functionality (with a Java Runtime installation, runs on Linux, Windows, Mac, or Solaris) * 2D rendering of data based upon Java2D, and 3D rendering based upon Java3D * The ability to organize complex datasets into intuitive mgui projects * A processing pipeline interface which allows users to process their datasets with any available Java or native software tools * An extensible I/O framework accommodating a variety of standard and non-standard file formats * Database connectivity using JDBC * Graph visualization based upon the JUNG library * An intuitive Swing-based GUI for managing, querying, and visualizing data * Various CAD-type tools for editing and creating geometry * A computational modelling framework | clipping, database application, domain independent, gifti, image display, java, nifti, os independent, platform, development environment, rendering, surface rendering, three dimensional display, two dimensional display, visualization, volume rendering, java | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155816 | http://www.nitrc.org/projects/modelgui | SCR_002441 | 2026-07-28 09:40:37 | 1 | |||||||
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Medical Image Visualization and Analysis Resource Report Resource Website 1+ mentions |
Medical Image Visualization and Analysis (RRID:SCR_002315) | MIVA | software application, data or information resource, software resource, data processing software, atlas, image analysis software | Software package that is a powerful graphical interface that displays, segments, aligns, manipulates, and blends image (pixel) and geometry (real-world coordinates) data simultaneously. Several applications are directly built into MIVA. Registration modes include interactive affine transformations. Fiducial registration tools facilitate rapid alignments for inter-modality volumes. Interactive Region of Interst (ROI) and Volume-of-Interest (VOI) tools exist to segment medical images. Virtually unique to MIVA are its 3D geometry tools and their compatibility with pixel based medical images. A full 3D interactive rat brain atlas is in an fMRI module which walks one through the necessary steps of fMRI. A multiple material surface routine takes segmented medical slices and creates 3D triangulated surfaces that align along all region boarders without overlap or gaps. These surfaces are the direct input into the MIVA tetrahedral mesh generator. | magnetic resonance, fmri, graphical interface, display, segment, align, manipulate, blend, registration, alignment, region of interst, volume of interest, 3d geometry tool, 3d |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Worcester Polytechnic Institute; Massachusetts; USA |
BSD License | nlx_155664 | SCR_002315 | 2026-07-28 09:40:23 | 8 | ||||||||
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MriWatcher Resource Report Resource Website 1+ mentions |
MriWatcher (RRID:SCR_002318) | MriWatcher | data visualization software, software resource, software application, data processing software | This simple visualization tool allows to load several images at the same time. The cursor across all windows are coupled and you can move/zoom on all the images at the same time. Very useful for quality control, image comparison. | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License | nlx_155667 | SCR_002318 | 2026-07-28 09:40:23 | 2 | ||||||||
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MGDM: Multi Geometric Deformable Model Resource Report Resource Website |
MGDM: Multi Geometric Deformable Model (RRID:SCR_002311) | MGDM | software application, software resource, data processing software, segmentation software, image analysis software | An efficient level set framework for multi-object segmentation. Its representation inherently prevents overlaps and gaps and it readily preserves object topology and object relationships. MGDM is efficient, storing only a fixed number of functions for any number of objects, and therefore scales well to segmentation problems with many classes and large images. It's representation also avoids some instabilities in other multi-class level set methods. MGDM is cross-platform; MATLAB wrappers, Java source and API are provided, with MIPAV plugins forthcoming. | algorithm, reusable library, computed tomography, java, matlab, magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free | nlx_155658 | SCR_002311 | Multi Geometric Deformable Model | 2026-07-28 09:40:23 | 0 | |||||||
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GLIRT Resource Report Resource Website |
GLIRT (RRID:SCR_002390) | GLIRT | software application, software resource, data processing software, registration software, image analysis software | Software for both groupwise registration and longitudinal registration, which are the necessary steps for many brain-related applications. Specifically, groupwise registration is important for unbiased analysis of a large set of MR brain images. Therefore, in this software package, they have included two of their recently-developed groupwise registration algorithms: 1) Improved unbiased groupwise registration guided with the sharp group-mean image, and 2) Hierarchical feature-based groupwise registration with implicit template (Groupwise-HAMMER for short). On the other hand, they also included their recently-developed groupwise longitudinal registration algorithm that aligns not only the longitudinal image sequence for each subject, but also align all longitudinal image sequences of all subjects to the common space simultaneously. | analyze, application, c++, image-to-image, intersubject, linux, microsoft, motion analysis, magnetic resonance, posix/unix-like, registration, software, spatial transformation, temporal transformation, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Free | nlx_155763 | http://www.nitrc.org/projects/glirt | SCR_002390 | Groupwise and Longitudinal Image Registration Toolbox | 2026-07-28 09:40:25 | 0 | ||||||
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MS lesion segmentation challenge 2008 Resource Report Resource Website 1+ mentions |
MS lesion segmentation challenge 2008 (RRID:SCR_002425) | MS Lesion Segmentation 08 | data or information resource, data set, narrative resource, training material | Training material for the MS lesion segmentation challenge 2008 to compare different algorithms to segment the MS lesions from brain MRI scans. Data used for the workshop is composed of 54 brain MRI images and represents a range of patients and pathology which was acquired from Children's Hospital Boston and University of North Carolian. Data has initially been randomized into three groups: 20 training MRI images, 24 testing images for the qualifying and 8 for the onsite contest at the 2008 workshop. The downloadable online database consists now of the training images (including reference segmentations) and all the 32 combined testing images (without segmentations). The naming has not been changed in comparison to the workshop compeition in order to allow easy comparison between the workshop papers and the online database papers. One dataset has been removed (UNC_test1_Case02) due to considerable motion present only in its T2 image (without motion artifacts in T1 and FLAIR). Such a dataset unfairly penalizes methods that use T2 images versus methods that don't use the T2 image. Currently all cases have been segmented by expert raters at each institution. They have significant intersite variablility in segmentation. MS lesion MRI image data for this competition was acquired seperately by Children's Hospital Boston and University of North Carolina. UNC cases were acquired on Siemens 3T Allegra MRI scanner with slice thickness of 1mm and in-plane resolution of 0.5mm. To ease the segmentation process all data has been rigidly registered to a common reference frame and resliced to isotrophic voxel spacing using b-spline based interpolation. Pre-processed data is stored in NRRD format containing an ASCII readable header and a separate uncompressed raw image data file. This format is ITK compatible. If you want to join the competition, you can download data set from links here, and submit your segmentation results at http://www.ia.unc.edu/MSseg after registering your team. They require team name, password, and email address for future contact. Once experiment is completed, you can submit the segmentation data in a zip file format. Please refer submission page for uploading data format. | magnetic resonance, competition, challenge, segmentation, segment, ms lesion, brain, mri scan, mri, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Multiple Sclerosis | NIH Roadmap for Medical Research ; NIBIB U54 EB005149-01 |
Free, Available for download, Freely available | nlx_155799 | SCR_002425 | 2008 MICCAI MS Lesion Segmentation Challenge | 2026-07-28 09:40:25 | 1 | |||||
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BRAINSFit Resource Report Resource Website 10+ mentions |
BRAINSFit (RRID:SCR_002340) | BRAINSFit | software application, software resource, data processing software, registration software, image analysis software | A program for registering images with with mutual information based metric. Several registration options are given for 3,6, 9,12,16 parameter (i.e. translate, rigid, scale, scale/skew, full affine) based constraints for the registration. The program 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 | affine warp, analyze, c++, console (text based), dicom, image-to-image, intermodal, intersubject, linear warp, macos, microsoft, magnetic resonance, nifti, os independent, posix/unix-like, registration, spatial transformation, warping, windows | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | BSD License | nlx_155701 | http://www.nitrc.org/projects/multimodereg | SCR_002340 | 2026-07-28 09:40:36 | 20 | |||||||
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S-rep Fitting Statistics and Segmentation Resource Report Resource Website |
S-rep Fitting Statistics and Segmentation (RRID:SCR_002540) | S-rep Fitting Statistics and Segmentation | software application, software resource, data processing software, segmentation software, image analysis software | Software to fit s-reps to segmented anatomic objects, to compute probability distributions on these s-reps, to train and to apply classifiers between two classes of anatomic objects, and to apply hypothesis testing to determine which geometric or physiological features vary significantly between two classes. Software for object segmentation from medical images may also be included. S-reps are skeletal models for anatomic objects especially suited for computing probability distributions from populations of these objects and for providing object-related coordinates for the interior of these objects. They allow classification and hypothesis testing using their geometric features and physiological features derived from medical images. They also allow the definition of shape spaces, probability-based geometric typicality functions, and appearance models used for segmentation or registration. A variety of successful applications to objects in neuroimages have already been performed. | computational neuroscience, computed tomography, domain independent, mr | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | BSD License | nlx_155948 | SCR_002540 | 2026-07-28 09:40:38 | 0 | ||||||||
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SCRalyze Resource Report Resource Website 10+ mentions |
SCRalyze (RRID:SCR_002542) | SCRalyze | software application, software resource, data analysis software, data processing software | A powerful software for model-based analysis of peripheral psychophysiology (e.g. skin conductance, heart rate, pupil size etc.). General linear modelling and dynamic causal modelling of these signals provide for inference on neural states/processes. SCRalyze includes flexible data import and display, statistical inference and results display and export. Easy programming of add-ons for new data formats, signal channels, and models. | eeg, meg, electrocorticography, matlab, modeling, os independent, quantification, time domain analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: SourceForge |
Free, Available for download, Freely available | nlx_155950 | http://www.nitrc.org/projects/scralyze | SCR_002542 | SCRalyze - A matlab environment for model-based psychophysiology | 2026-07-28 09:40:27 | 17 | ||||||
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Resource Ontology Discussion Group Resource Report Resource Website |
Resource Ontology Discussion Group (RRID:SCR_002536) | Resource Ontology Discussion Group | data or information resource, knowledge environment, narrative resource, discussion | Project to discuss, debate, develop and deploy ontological practices for the fMRI community. | community, ontology, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Free, Available for download, Freely available | nlx_155943 | SCR_002536 | 2026-07-28 09:40:38 | 0 | ||||||||
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Rodent Cortical Thickness Analysis Resource Report Resource Website |
Rodent Cortical Thickness Analysis (RRID:SCR_002539) | software application, software resource, data processing software, image processing software, image analysis software | An automatic cortical thickness measurement tool for rat brains. The pipeline consists of four steps: preprocessing to create binary mask and label map, thickness measurement which produces laplacian field and thickness map in order, run particle correspondence followed by statistical analysis resulting in mean thickness color map and t-test result. By running RodentThickness, you will need to fill in informations in a Graphical User Interface, and then compute. You can also run the tool in command line without using the GUI. Using the GUI, you will be able to save or load a dataset file or a configuration file. The tool needs these other tools to work, so be sure to have these installed on your computer: * ImageMath * measureThicknessFilter * GenParaMeshCLP * ParaToSPHARMMeshCLP * ShapeWorksRun * ShapeWorksGroom * SegPostProcessCLP * BinaryToDistanceMap * MeshPointsIntensitysampling | microscopy, magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155946 | http://www.nitrc.org/projects/rodentthickness | SCR_002539 | RodentThickness | 2026-07-28 09:40:27 | 0 | |||||||
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NPTK Resource Report Resource Website |
NPTK (RRID:SCR_002496) | NPTK | software application, software resource, data processing software, registration software, image analysis software | Non-rigid registration / distortion correction tools for enhanced functional localization through the registration of EPI fMRI to high-resolution anatomical MRI. | analyze, artifact removal, c++, image-to-image, intermodal, linux, macos, microsoft, magnetic resonance, nifti, nonlinear warp, posix/unix-like, registration, spatial transformation, warping, windows, windows xp, fmri, mri | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155893 | SCR_002496 | 2026-07-28 09:40:27 | 0 | ||||||||
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NITRC Enhanced Services Resource Report Resource Website |
NITRC Enhanced Services (RRID:SCR_002494) | NITRC Enhanced Services | data or information resource, service resource, community building portal, portal | Support and community integration for the enhanced NITRC services of the Image Repository (IR) and the Computational Environment (CE). The NITRC Computational Environment, an on-demand, cloud based computational virtual machine pre-installed with popular NITRC neuroimaging tools built using NeuroDebian. NITRC Image Repository is built upon XNAT and supports both NIfTI and DICOM images. The NITRC-IR offers 3,733 Subjects, and 3,743 Imaging Sessions searchable across seven projects to promote re-use and integration of valuable NIH-funded data. | data, database, data resource, dicom, domain independent, information resource, nifti, platform or development environment, software |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NITRC Computational Environment is related to: NITRC-IR has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Free, Available for download, Freely available | nlx_155890 | SCR_002494 | 2026-07-28 09:40:26 | 0 |
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