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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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STAPLE Resource Report Resource Website 100+ mentions |
STAPLE (RRID:SCR_002590) | STAPLE | software application, software resource | An algorithm for the Simultaneous Truth and Performance Level Estimation, which estimates a reference standard and segmentation generator performance from a set of segmentations. It has been widely applied for the validation of image segmentation algorithms, and to compare the performance of different algorithms and experts. It has also found application in the identification of a consensus segmentation, by combination of the output of a group of segmentation algorithms, and for segmentation by registration and template fusion., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | algorithm, analyze, c++, dicom, gifti, image display, linux, macos, microsoft, magnetic resonance, nifti, nrrd, posix/unix-like, quantification, rendering, segmentation, surface rendering, visualization, win32 (ms windows), windows, standard |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Harvard Medical School; Massachusetts; USA |
PMID:15250643 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155994 | http://www.nitrc.org/projects/staple | SCR_002590 | Simultaneous Truth and Performance Level Estimation, STAPLE - Simultaneous Truth and Performance Level Estimation | 2026-02-15 09:18:21 | 142 | |||||
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Nipype Resource Report Resource Website 500+ mentions |
Nipype (RRID:SCR_002502) | Nipype | software application, software resource | A package for writing fMRI analysis pipelines and interfacing with external analysis packages (SPM, FSL, AFNI). Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface. Nipype, an open-source, community-developed initiative under the umbrella of Nipy, is a Python project that solves these issues by providing a uniform interface to existing neuroimaging software and by facilitating interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., SPM, FSL), 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. | magnetic resonance, python, workflow, analysis, pipeline, interface, data processing, neuroimaging |
is used by: Forward: Accurate finite element electromagnetic head models is used by: fMRIPrep is used by: NHP BIDS is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuroimaging in Python |
PMID:21897815 | Free, Available for download, Freely available | nlx_155901 | http://www.nitrc.org/projects/nipype | SCR_002502 | Nipype: Neuroimaging in Python Pipeline and Interfaces, NIPY Pipeline and Interfaces | 2026-02-15 09:18:19 | 822 | |||||
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DONE: Detection of Outlier NEurons Resource Report Resource Website |
DONE: Detection of Outlier NEurons (RRID:SCR_005299) | DONE | software application, software resource | Software that performs a morphology-based approach for the automatic identification of outlier neurons based on neuronal tree structures. This tool was used by Zawadzki et al. (2012), who reported on and its application to the NeuroMorpho database. For the analysis, each neuron is represented by a feature vector composed of 20 measurements, which are projected into lower dimensional space with PCA. Bivariate kernel density estimation is then used to obtain a probability distribution for cells. Cells with high probabilities are understood as archetypes, while those with the small probabilities are classified as outliers. Further details about the method and its application in other domains can be found in Costa et al. (2009) and Echtermeyer et al. (2011). This version requires Matlab (Mathworks Inc, Natick, USA) and allows the user to apply the workflow using a graphical user interface. | neuron, feature-space, archetype, outlier, matlab, neuromorphometry, computational neuroscience |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NeuroMorpho.Org has parent organization: Newcastle University; Newcastle upon Tyne; United Kingdom |
FAPESP 05/00587-5; CNPq 301303/06-1; CNPq 573583/2008-0; FAPESP sponsorship 2010/01994-1; FAPESP sponsorship 2010/16310-0; EPSRC EP/G03950X/1; EPSRC EP/E002331/1; National Research Foundation of Korea R32-10142 |
PMID:22615032 | GNU General Public License | nlx_144348 | http://www.nitrc.org/projects/done | SCR_005299 | Detection of Outlier NEurons | 2026-02-15 09:18:56 | 0 | ||||
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Object-Oriented Development Interface for NMR Resource Report Resource Website 10+ mentions |
Object-Oriented Development Interface for NMR (RRID:SCR_005974) | ODIN | software application, software resource | A C++ software framework to develop, simulate and run magnetic resonance sequences on different platforms. | analyze, c++, console (text based), dicom, image display, image reconstruction, modeling, magnetic resonance, nifti, os independent, simulation, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian has parent organization: SourceForge |
GNU General Public License | nlx_155909 | https://sources.debian.org/src/odin/ | SCR_005974 | Object Oriented Development Interface for NMR, ODIN - Object-Oriented Development Interface for NMR | 2026-02-15 09:19:06 | 15 | ||||||
|
Mesh-based Monte Carlo (MMC) Resource Report Resource Website |
Mesh-based Monte Carlo (MMC) (RRID:SCR_006950) | MMC | software application, software resource | A Monte Carlo (MC) solver for photon migration in 3D turbid media. Different from existing MC software designed for layered (such as MCML) or voxel-based media (such as MMC or tMCimg), MMC can represent a complex domain using a tetrahedral mesh. This not only greatly improves the accuracy of the solutions when modeling objects with smooth/complex boundaries, but also gives an efficient way to sample the problem domain to use less memory. The current version of MMC support multi-threaded programming and can give a almost proportional speed-up when using multiple CPU cores. | c, console (text based), modeling, monte carlo, optical imaging, posix/unix-like |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: SourceForge |
GNU General Public License | nlx_155810 | http://www.nitrc.org/projects/mmc | SCR_006950 | Mesh-based Monte Carlo | 2026-02-15 09:19:38 | 0 | ||||||
|
Papaya Resource Report Resource Website 1+ mentions |
Papaya (RRID:SCR_014188) | source code, software resource | A pure JavaScript medical research image viewer, compatible across a range of popular web browsers. The orthogonal viewer supports NIFTI and DICOM files, overlays and atlas labels. It requires Firefox (7+), Chrome (7+), Safari (6+), MobileSafari (iOS 6+), or IE (10+). | source code, javascript, medical research, image viewer | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Public, Available to the research community | https://github.com/rii-mango/Papaya/ | SCR_014188 | 2026-02-15 09:20:57 | 5 | |||||||||
|
Efficient Permutation Testing Resource Report Resource Website |
Efficient Permutation Testing (RRID:SCR_014104) | source code, software resource | A Matlab implementation for efficient permutation testing by using matrix completion. | permutation, nueroimaging, source code, fast, matlab |
uses: MATLAB is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Wisconsin-Madison; Wisconsin; USA |
Wisconsin Partnership Fund ; NIA R01 AG040396; NSF CAREER 1252725; NSF RI 1116584; UW ADRC NIA P50 AG033514; UW ICTR NCRR 1UL1RR025011; Veterans Administration Merit Review I01CX000165 |
Available for download, Acknowledgement requested | http://pages.cs.wisc.edu/~vamsi/pt_fast.html | SCR_014104 | Speeding Up Permutation Testing in Neuroimaging | 2026-02-15 09:20:51 | 0 | |||||||
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dinifti Resource Report Resource Website 1+ mentions |
dinifti (RRID:SCR_000303) | dinifti | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software which converts DICOM images to NIfTI format. | analyze, console (text based), dicom, format conversion, freebsd, linux, magnetic resonance, nifti, posix/unix-like |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian has parent organization: New York University; New York; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155843 | http://www.nitrc.org/projects/dinifti http://cbi.nyu.edu/software/dinifti.php https://sources.debian.org/src/dicomnifti/ |
SCR_000303 | NYU CBI DICOM to NIfTI Converter | 2026-02-15 09:17:54 | 2 | ||||||
|
ShapeWorks Resource Report Resource Website 1+ mentions |
ShapeWorks (RRID:SCR_000424) | ShapeWorks | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on September 2, 2022. Software that is an open-source distribution of a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wide range of shape analysis problems, including nonmanifold surfaces and objects of arbitrary topology. The proposed correspondence point optimization uses an entropy-based minimization that balances the simplicity of the model (compactness) with the accuracy of the surface representations. The ShapeWorks software includes tools for preprocessing data, computing point-based shape models, and visualizing the results. | c++, console (text based), linux, macos, microsoft, magnetic resonance, posix/unix-like, rendering, shape analysis, surface rendering, visualization, win32 (ms windows), windows, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Utah; Utah; USA |
NCRR 5P41RR012553-15; NIGMS 8 P41 GM103545-15 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155961 | http://www.nitrc.org/projects/shapeworks | SCR_000424 | 2026-02-15 09:17:55 | 1 | ||||||
|
BCILAB Resource Report Resource Website 10+ mentions |
BCILAB (RRID:SCR_007013) | BCILAB | source code, software resource | Open Source MATLAB toolbox and EEGLAB plugin for the design, prototyping, testing, experimentation with, and evaluation of Brain-Computer Interfaces (BCIs), and other systems in the same computational framework. It facilitates the design and development of new methods for cognitive state estimation and their use in both offline data analysis and real-time applications. BCILAB includes an easily extensible collection of currently over 100 methods from the literature (covering signal processing, machine learning and BCI-specific methods). Aside from supporting advanced BCI research, a special aim of BCILAB is to facilitate the adoption of machine learning and advanced statistical modeling for functional neuroimaging purposes in tandem with the EEGLAB platform. The toolbox offers multiple different interfaces which link to the same backend functionality, including a GUI, scripting support (MATLAB-based), APIs for real-time processing, and a variety of extension component interfaces. MATLAB programming is not strictly necessary, as most BCILAB features can be accessed from the GUI, although it is required for batch scripting and custom extensions. The strength of MATLAB-based software lies in its resources for leading-edge scientific computing, as well as in the good support for rapid prototyping, but BCI systems developed in it can be used for real-time out-of-lab experimentation, and can in principle be deployed without the need for a MATLAB license. However, due to the complexity and overhead of the MATLAB environment, the system is best used as a research platform, and not as a product development environment -- end-user software is ideally re-implemented in a compiled language, after a suitable approach has been identified and extensively tested. The process of identifying and testing an approach involves more than just computation, but also data exploration and investigation - an area which is helped by the deep integration with the EEGLAB platform. In the future, this integration will be further strengthened, bringing rich statistical learning and signal processing into routine EEG analysis workflows. The toolbox has been developed by C. Kothe at the Swartz Center, inspired by the preceding PhyPA BCI toolbox created by C. Kothe and T. Zander at the Chair for Human-Machine Systems, Berlin Institute of Technology. | brain-computer interface, discriminant analysis, temporal integration, matlab, eeg, meg, electrocorticography, statistical operation, temporal transformation, signal processing, machine learning |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: EEGLAB is related to: Neural Maestro has parent organization: Swartz Center for Computational Neuroscience |
GNU General Public License | nlx_153810 | http://www.nitrc.org/projects/bcilab | SCR_007013 | 2026-02-15 09:19:40 | 22 | |||||||
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E-Prime Resource Report Resource Website 100+ mentions |
E-Prime (RRID:SCR_009567) | E-Prime | software application, software resource | A suite of applications to fulfill all of your computerized experiment needs. Used by more than 15,000 professionals in the research community, E-Prime provides a truly easy-to-use environment for computerized experiment design, data collection, and analysis. E-Prime provides millisecond precision timing to ensure the accuracy of your data. E-Prime's flexibility to create simple to complex experiments is ideal for both novice and advanced users. The E-Prime suite of applications includes: * E-Studio ? Drag and drop graphical interface for experiment design * E-Basic ? Underlying scripting language of E-Prime * E-Run ? Once the experiment is generated with a single click, E-Run affords you the millisecond precision of stimulus presentation, synchronizations, and data collection. * E-Merge ? Merges your single session data files for group analysis * E-DataAid ? Data management utility * E-Recovery ? Recovers data files | experimental control, microsoft, magnetic resonance, visual basic, win32 (ms windows), windows, windows vista, windows xp |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: SoftCite |
nlx_155747 | http://www.nitrc.org/projects/eprime | SCR_009567 | E-Prime 2.0 | 2026-02-15 09:20:04 | 162 | |||||||
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DWI/DTI Quality Control Tool: DTIPrep Resource Report Resource Website 1+ mentions |
DWI/DTI Quality Control Tool: DTIPrep (RRID:SCR_009562) | DTIPrep | software application, software resource | DTIPrep performs a Study-specific Protocol based automatic pipeline for DWI/DTI quality control and preparation. This is both a GUI and command line tool. The configurable pipeline includes image/diffusion information check, padding/Cropping of data, slice-wise, interlace-wise and gradient-wise intensity and motion check, head motion and Eddy current artifact correction, and DTI computing. | c++, linux, microsoft, magnetic resonance, nrrd, posix/unix-like, win32 (ms windows), windows, windows xp, dti | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | BSD License | nlx_155742 | http://www.nitrc.org/projects/dtiprep | SCR_009562 | 2026-02-15 09:19:45 | 2 | |||||||
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Mach2dat Resource Report Resource Website 10+ mentions |
Mach2dat (RRID:SCR_009599) | software application, software resource | Software that performs logistic regression, using imputed SNP dosage data and adjusting for covariates. | genetic association, genomic analysis, imaging genomics, snp, gene, imputation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: MACH 1.0 has parent organization: University of Michigan; Ann Arbor; USA |
PMID:21058334 PMID:19715440 |
Free, Non-commercial, Acknowledgement requested | nlx_155801 | http://www.nitrc.org/projects/mach2dat | SCR_009599 | Mach2dat: Association with MACH output | 2026-02-15 09:20:09 | 40 | ||||||
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FiberViewerLight Resource Report Resource Website 1+ mentions |
FiberViewerLight (RRID:SCR_009476) | FiberViewerLight | software application, software resource | Light version of the existing tool Fiber Viewer. It includes every clustering methods of Fiber Viewer such as : Lenght, Gravity, Hausdorff, and Mean methods but also a Normalized Cut algorithm. As in the full version you can also display a plane on the fiber. This tool works faster than the full version due to simplified visualizations. | c++, linux, microsoft, magnetic resonance, posix/unix-like | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | BSD License | nlx_155623 | SCR_009476 | 2026-02-15 09:20:12 | 5 | ||||||||
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MaCH-Admix Resource Report Resource Website 10+ mentions |
MaCH-Admix (RRID:SCR_009598) | software application, software resource | A genotype imputation software that is an extension to MaCH for faster and more flexible imputaiton, especially in admixed populations. It has incorporated a novel piecewise reference selection method to create reference panels tailored for target individual(s). This reference selection method generates better imputation quality in shorter running time. MaCH-Admix also separates model parameter estimation from imputation. The separation allows users to perform imputation with standard reference panels + pre-calibrated parameters in a data independent fashion. Alternatively, if one works with study-specific reference panels, or isolated target population, one has the option to simultaneously estimate these model parameters while performing imputation. MaCH-Admix has included many other useful options and supports VCF input files. All existing MaCH documentation applies to MaCH-Admix. | genomic analysis, imaging genomics, imputation, snp, gene, bio.tools |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
PMID:23074066 | Free, Non-commercial, Acknowledgement requested | nlx_155800, biotools:mach-admix | http://www.nitrc.org/projects/mach-admix https://bio.tools/mach-admix |
SCR_009598 | MaCH-Admix: Genotype Imputation Software | 2026-02-15 09:20:13 | 18 | ||||||
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Fiber-tracking based on Finsler distance Resource Report Resource Website 1+ mentions |
Fiber-tracking based on Finsler distance (RRID:SCR_009475) | Fiber-tracking based on Finsler distance | software application, software resource | Software provided as a sub-project in the Finsler-tractography module: http://www.nitrc.org/projects/finslertract | diffusion mr fiber tracking, fiber tracking, magnetic resonance, tractography |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Finsler tractography module for Slicer |
3D Slicer License | nlx_155622 | SCR_009475 | 2026-02-15 09:19:44 | 1 | ||||||||
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False Discovery Rate Weighted Resource Report Resource Website 1+ mentions |
False Discovery Rate Weighted (RRID:SCR_009473) | False Discovery Rate Weighted | software application, software resource | Simple and efficient, this application performs the Weighted False Discovery Rate procedure of Benjamini and Hochberg (1997) to correct for multiple testing. The good think is that you can test virtually any number of p-values (even millions) obtained with any test-statistics for any data set. The bonus is that you can assign a-priori weights to give a better chance to those variables that you deem important. In practice, this procedure is powerful only with a relatively small number of p-values. | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | nlx_155620 | SCR_009473 | 2026-02-15 09:20:08 | 1 | |||||||||
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LDDMM Resource Report Resource Website 10+ mentions |
LDDMM (RRID:SCR_009590) | LDDMM | software application, software resource | Software application which aims to assign metric distances on the space of anatomical images in Computational Anatomy thereby allowing for the direct comparison and quantization of morphometric changes in shapes. As part of these efforts the Center for Imaging Science at Johns Hopkins University developed techniques to not only compare images, but also to visualize the changes and differences. For additional information please refer to: Faisal Beg, Michael Miller, Alain Trouve, and Laurent Younes. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms. International Journal of Computer Vision, Volume 61, Issue 2; February 2005. M.I. Miller and A. Trouve and L. Younes, On the Metrics and Euler-Lagrange Equations of Computational Anatomy, Annual Review of biomedical Engineering, 4:375-405, 2002. Software developed with support from National Institutes of Health NCRR grant P41 RR15241. | analyze, c++, console (text based), linux, microsoft, magnetic resonance, posix/unix-like, shape analysis, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Johns Hopkins University; Maryland; USA |
nlx_155780 | http://www.nitrc.org/projects/lddmm-volume | SCR_009590 | Large Deformation Diffeomorphic Metric Mapping | 2026-02-15 09:19:46 | 30 | |||||||
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BrainGraph Editor Resource Report Resource Website 1+ mentions |
BrainGraph Editor (RRID:SCR_009536) | BrainGraph Editor | software application, software resource | A JAVA application designed to create taxonomies or hierarchies in order to classify and organize information. | gnome, information resource, information specification, java, kde, ontology, os independent, visualization, win32 (ms windows), taxonomy, hierarchy, classify, organize |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Laboratory of Neuro Imaging |
BIRN License, LONI Software License | nlx_155713 | http://www.nitrc.org/projects/braingrpheditor | SCR_009536 | 2026-02-15 09:20:04 | 3 | |||||||
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ANNOVAR Resource Report Resource Website 5000+ mentions |
ANNOVAR (RRID:SCR_012821) | ANNOVAR | software application, software resource | An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform: 1. gene-based annotation. 2. region-based annotation. 3. filter-based annotation. 4. other functionalities. (entry from Genetic Analysis Software) | genomic analysis, imaging genomics, next generation sequencing, snp, gene, bio.tools |
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: bio.tools is listed by: SoftCite is related to: wANNOVAR has parent organization: OpenBioinformatics.org |
PMID:20601685 | Free | nlx_154225, biotools:annovar, OMICS_00165 | https://bio.tools/annovar https://bio.tools/annovar |
SCR_012821 | functional ANNOtation of genetic VARiants, ANNOVAR: Functional annotation of genetic variants | 2026-02-15 09:20:40 | 5946 |
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