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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NIH Human Connectome Project Resource Report Resource Website 10+ mentions |
NIH Human Connectome Project (RRID:SCR_006942) | HCP | data or information resource, portal, consortium, organization portal | Project to map the neural pathways that underlie human brain function for several modalities of neuroimaging data including fMRI. The purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics. Altogether, the Human Connectome Project will lead to major advances in the understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders. The sixteen institutes and centers of the NIH Blueprint for Neuroscience have funded two major grants that will take complementary approaches to deciphering the brain's amazingly complex wiring diagram. An 11-institution consortium led by Washington University in St. Louis and the University of Minnesota received a 5-year grant to enable development and utilization of advanced Magnetic Resonance Imaging (MRI) methods to chart brain circuitry. A consortium led by Massachusetts General Hospital and the University of California at Los Angeles received a grant to enable building and refining a next-generation 3T MR scanner that improves the quality and spatial resolution with which brain connectivity data can be acquired at this field strength. | brain, function, neural pathway, connectivity, human, community, data resource, eeg, meg, electrocorticography, funding resource, hardware, imaging genomics, knowledge environment, magnetic resonance, software, fmri |
is used by: DataLad is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: NIH Data Sharing Repositories is related to: NIH Data Sharing Repositories is related to: BCBtoolkit has parent organization: National Institutes of Health is parent organization of: MGH-USC Human Connectome Project is parent organization of: Human Connectome Coordination Facility |
NIH Blueprint for Neuroscience Research | nlx_143921 | http://www.nitrc.org/projects/hcp | SCR_006942 | Human Connectome Project, Human Connectome Project (HCP) | 2026-08-05 10:44:34 | 13 | ||||||
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VAMCA Resource Report Resource Website |
VAMCA (RRID:SCR_007028) | VAMCA | data processing software, image analysis software, software application, data visualization, software toolkit, software resource | A stand-alone, open source human cortical meta-analysis and visualization toolbox for MatLab. It projects stereotaxic coordinates to a mean cortical surface by using an anatomical database of 60 young adults to provide multiple mappings of normalized cortical surfaces into MNI space. VAMCA performs the following analyses: # Multi-Fiducial Projection Mapping: Map stereotaxic 3D coordinates to the normalized cortical location for each of 60 database subjects. # Computing Centroid Locations for groups of foci both on a mean cortical surface and in MNI space. # Comparing Two Groups of Foci for differences in location (surface or 3D) of their group centroids and computing the groups' overlap extent using permutation tests. # Detecting Significant Densities of Foci or Density Differences of Two Groups within anatomical ROIs on a mean cortical surface by using Monte Carlo analyses. Coordinate weights allow fixed or random effects type analyses. | database application, linux, matlab, microsoft, magnetic resonance, posix/unix-like, visualization, windows, windows 95/98/2000, windows nt/2000, windows xp, mni, adult human |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Davis; California; USA |
Creative Commons Attribution License | nlx_156010 | http://www.nitrc.org/projects/vamca | SCR_007028 | VAMCA: Visualization And Meta-analysis on Cortical Anatomy, VAMCA Cortical Meta-analysis Toolbox, Visualization And Meta-analysis on Cortical Anatomy | 2026-08-05 10:44:35 | 0 | ||||||
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Manual Align RTS2000 Resource Report Resource Website |
Manual Align RTS2000 (RRID:SCR_007107) | data processing software, software application, software resource, image processing software | Software program to adjust the alignment of two adjacent images. Allows to correct for any misalignment that may occur during auto-alignment step. Serves as a bootstrap to get the images in approximately the right place. | alignment, process, image, adjust, correct, misalignment |
is affiliated with: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: National Center for Microscopy and Imaging Research |
NCRR P41 RR04050 | Free, no longer available | nif-0000-10514 | SCR_007107 | 2026-08-05 10:44:36 | 0 | ||||||||
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Whole Brain Catalog Resource Report Resource Website 1+ mentions |
Whole Brain Catalog (RRID:SCR_007011) | WBC | image repository, data repository, software application, simulation software, software resource, storage service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016. An open source, downloadable, 3d atlas of the mouse brain and its cellular constituents that allows multi-scale data to be visualized in a seamless way, similar to Google earth. Data within the Catalog is marked up with annotations and can link out to additional data sources via a semantic framework. This next generation open environment has been developed to connect members of the neuroscience community to facilitate solutions for today's intractable challenges in brain research through cooperation and crowd sourcing. The client-server platform provides rich 3-D views for researchers to zoom in, out, and around structures deep in a multi-scale spatial framework of the mouse brain. An open-source, 3-D graphics engine used in graphics-intensive computer gaming generates high-resolution visualizations that bring data to life through biological simulations and animations. Within the Catalog, researchers can view and contribute a wide range of data including: * 3D meshes of subcellular scenes or brain region territories * Large 2D image datasets from both electron and light level microscopy * NeuroML and Neurolucida neuronal reconstructions * Protein Database molecular structures Users of the Whole Brain Catalog can: * Fit data of any scale into the international standard atlas coordinate system for spatial brain mapping, the Waxholm Space. * View brain slices, neurons and their animation, neuropil reconstructions, and molecules in appropriate locations * View data up close and at a high resolution * View their own data in the Whole Brain Catalog environment * View data within a semantic environment supported by vocabularies from the Neuroscience Information Framework (NIF) at http://www.neuinfo.org. * Contribute code and connect personal tools to the environment * Make new connections with related research and researchers 5 Easy Ways to Explore: * Explore the datasets across multiple scales. * View data closely at high resolution. * Observe accurately simulated neurons. * Readily search for content. * Contribute your own research. | crowd sourcing, mouse, brain, cell, neuron, simulation, microscopy, neuroscience, electron microscopy, light microscopy, bioinformatics, neuroinformatics, computational biology, biology, visualization, animation, molecular structure, neuronal reconstruction, subcellular, annotation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: NeuroLex is related to: Cell Centered Database is related to: Neuroscience Information Framework is related to: INCF Software Center has parent organization: University of California at San Diego; California; USA is parent organization of: Whole Brain Catalog Blog is parent organization of: WholeBrainCatalog's Channel - YouTube |
Waitt Family Foundation | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-23345 | http://www.nitrc.org/projects/incf_whole-brai | SCR_007011 | 2026-08-05 10:44:35 | 5 | ||||||
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Monte Carlo eXtreme Resource Report Resource Website 1+ mentions |
Monte Carlo eXtreme (RRID:SCR_007001) | MCX | software application, simulation software, software resource | A Monte Carlo simulation software for photon migration in 3D turbid media. It uses Graphics Processing Units (GPU) based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations. Using an nVidia 8800GT graphics card (14MP/114Cores), the acceleration is about 300x~400x compared to a single core of Xeon 5120 CPU; this ratio can be as high as 700x with a GTX 280 GPU and 1400x with a GTX 470. | c, console (text based), macos, microsoft, modeling, monte carlo, optical imaging, other programming language, posix/unix-like, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: SourceForge |
GNU General Public License | nlx_155817 | http://www.nitrc.org/projects/mcextreme | SCR_007001 | Monte Carlo eXtreme (MCX) | 2026-08-05 10:44:35 | 2 | ||||||
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Function BIRN Resource Report Resource Website 1+ mentions |
Function BIRN (RRID:SCR_007291) | FBIRN | data or information resource, topical portal, portal | The FBIRN Federated Informatics Research Environment (FIRE) includes tools and methods for multi-site functional neuroimaging. This includes resources for data collection, storage, sharing and management, tracking, and analysis of large fMRI datasets. fBIRN is a national initiative to advance biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools, strategies and advisory services - all from a single source. | fmri, 3d model, data storage, imaging, map, morphology, mri, neuroinformatics, segmentation, software, talairach, volume, warping, analyze, application, c++, csh/tcsh, data, database, database application, data resource, dicom, javascript, linux, magnetic resonance, nifti, ontology, pl/sql, posix/unix-like, python, quality metrics, spatial transformation, statistical operation, tcl/tk, unix shell, visualization, web resource, web service, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Biomedical Informatics Research Network is parent organization of: BXH/XCEDE Tools is parent organization of: FBIRN Image Processing Scripts |
NIGMS ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
nif-0000-00070 | http://www.nitrc.org/projects/fbirn | http://nbirn.net/tools/browse_tools.shtm | SCR_007291 | Functional Imaging BIRN | 2026-08-05 10:44:39 | 2 | |||||
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BrainVISA / Anatomist Resource Report Resource Website 100+ mentions |
BrainVISA / Anatomist (RRID:SCR_007354) | software development tool, data processing software, software application, image analysis software, software development environment, software resource, image processing software | BrainVISA is a modular an customizable software platform built to host heterogeneous tools dedicated to neuroimaging research. Many toolboxes have already been developed for BrainVISA (T1 MRI, sulcal identification and morphometry, cortical surface analysis, diffusion imaging and tractography, fMRI, nuclear imaging, EEG and MEG, TMS, histology and autoradiography, etc.). Anatomist is a software for interactive visualization of multimodal data and for manipulation of structured 3D objects. It allows to build scenes that merge or combine images, meshes, regions of interest, fibers, textures, color palettes, referential changes, etc. A user can interact in 3D and in real time with the objects of an Anatomist scene: change point of view, select objects, add/suppress objects, change colors, draw regions of interests, do manual registration, etc. BrainVISA main features are: * Harmonization of communications between different software. For instance, BrainVISA toolboxes are using home-made software but also third-party software such as FreeSurfer, FSL, SPM, nipy, R-project, Matlab, etc. * Ontology-based data organization allowing database sharing and automation of mass of data analysis. * Fusion and interactive visualization of multimodal data (using Anatomist software). * Automatic generation of graphical user interfaces. * Workflow monitoring and data quality checking. * Full customization possible. * Runs on Linux, Mac and Windows. * Programming Language: C++, Python * Supported Data Format: ANALYZE, DICOM, GIfTI, MINC, NIfTI-1, Other Format | neuroimaging, database, tensor metric, morphology, quantitative shape analysis, segmentation, spatial transformation, surface analysis, diffusion mr fiber tracking, visualization, platform environment, development environment, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: SPM is related to: BrainVisa Morphology extensions |
French Ministry of Higher Education and Research ; ACI telemedecine |
CeCILL license v2 | nif-0000-00264 | http://www.nitrc.org/projects/brainvisa, http://anatomist.info | SCR_007354 | BrainVISA/Anatomist, BrainVISA | 2026-08-05 10:44:40 | 232 | ||||||
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WFU PickAtlas Resource Report Resource Website 1000+ mentions |
WFU PickAtlas (RRID:SCR_007378) | PickAtlas | data processing software, software application, software resource, image processing software | A software toolbox that provides a method for generating Region of Interest (ROI) masks based on the Talairach Daemon database. The atlases include Brodmann area, Lobar, Hemisphere, Anatomic Label (gyral anatomy), and Tissue type. The atlases have been extended to the vertex in MNI space, and corrected for the precentral gyrus anomaly. Additional atlases (including non-human atlases) can be added without difficulty., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | neuroanatomy, cytoarchitecture, fmri, matlab, brain, brain region, talairach daemon, analyze, atlas application, matlab, microsoft, magnetic resonance, posix/unix-like, win32 (ms windows), windows, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: SoftCite is related to: Talairach Daemon has parent organization: Wake Forest School of Medicine; North Carolina; USA |
NIBIB 1R03EB008670 | PMID:12880848 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00358 | SCR_007378 | WFU_PickAtlas | 2026-08-05 10:44:40 | 1261 | |||||
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MIPAV: Medical Image Processing and Visualization Resource Report Resource Website 100+ mentions |
MIPAV: Medical Image Processing and Visualization (RRID:SCR_007371) | MIPAV | data processing software, source code, image analysis software, software application, data visualization software, software resource | A Java-based application that enables quantitative analysis and visualization of medical images of numerous modalities such as DTI, PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites (via the internet) can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders. MIPAV can be run on any Java-enabled platform such as Windows, UNIX, or Macintosh OS X. Functionality includes segmentation, inter- and intra multi-modality registration, surface rendering, volume rendering and reading and writing a large number of biomedical file formats including: DICOM 3.0, Analyze, NIFTI, SPM, MINC, Phillips, GE, Zeiss, Biorad, jpeg, png, tiff, mrc, fits, interfile, and many more. | atlas, birn, nifti, registration software, segmentation software, surface analysis, visualization, volume, warping, data sharing platform, imaging software, java, pet, mri, computed tomography, microscopy, dti, simulation, volumetric analysis, segmentation, colocalization, frequency domain, resampling, spatial convolution, deconvolution, diffusion mr fiber tracking, animation, image display, surface rendering, volume rendering, fiber tracking, visualization, registration, surface analysis, volume, warping, data sharing, spect, mesh generation, simulation, registration, resampling, fiber tracking, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: Diffusion MRI of Traumatic Brain Injury is related to: DOTS WM tract segmentation is related to: Maps4Mipav (Exploratory JIST) is related to: MR Connectome Automated Pipeline is related to: Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR) is related to: TOADS-CRUISE Brain Segmentation Tools is related to: SPM is related to: CBS High-Res Brain Processing Tools is related to: JIST Resources for Algorithm Development has parent organization: Center for Information Technology |
Center for Information Technology | Source Code Use License | nif-0000-00329 | http://www.nitrc.org/projects/mipav | SCR_007371 | Medical Image Processing Analysis and Visualization | 2026-08-05 10:44:40 | 227 | |||||
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Multiscale Object Orientation Simulation Environment Resource Report Resource Website 100+ mentions |
Multiscale Object Orientation Simulation Environment (RRID:SCR_008031) | software application, simulation software, software resource | MOOSE is the Multiscale Object-Oriented Simulation Environment. It is the base and numerical core for large, detailed simulations including Computational Neuroscience and Systems Biology. MOOSE spans the range from single molecules to subcellular networks, from single cells to neuronal networks, and to still larger systems. it is backwards-compatible with GENESIS, and forward compatible with Python and XML-based model definition standards like SBML and MorphML. MOOSE is coordinating with the GENESIS-3 project towards the goals of developing educational resources for modeling. MOOSE is open source software, licensed under the LGPL (Lesser GNU Public License). It has absolutely no warranty. Sponsors: - National Center of Biological Sciences (NCBS) - National Institutes of Health (NIH) Collaboration - EU-India grid - Department of Atomic Energy Science Research Council (DAE/SRC) - Department of Biotechnology (DBT) | cell, computational, molecule, network, neuronal, neuroscience, simulation, subcellular, systems biology |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: MUlti SImulation Coordinator has parent organization: SourceForge |
nif-0000-10307 | http://www.nitrc.org/projects/moose | SCR_008031 | MOOSE | 2026-08-05 10:44:53 | 302 | ||||||||
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Connectome Workbench Resource Report Resource Website 50+ mentions |
Connectome Workbench (RRID:SCR_008750) | CWB, wb_view, wb_command, wb_import | software toolkit, source code, software resource | Software brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. Used to map brain imaging data. Allows for visualization of outputs from HCP pipelines from single subject, or average data from group of subjects and register that data onto standard brain atlas. | visualization, connectivity, brain, human, fMRI, dMRI, brain imaging data, map neuroimaging data, |
is used by: BRAIN Initiative Cell Atlas Network is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: FAIRsharing is related to: BALSA is related to: Washington University in St. Louis; Missouri; USA works with: ConnectomeDB works with: NIMP: Neuroanatomy-anchored Information Management Platform for Collaborative BICAN Data Generation |
NIH Blueprint for Neuroscience Research ; NIMH MH060974 |
Free, Available for download, Freely available | nlx_143924 | http://www.nitrc.org/projects/workbench, https://github.com/Washington-University/workbench, https://www.humanconnectome.org/software/workbench-command, https://www.humanconnectome.org/software/get-connectome-workbench, http://humanconnectome.org/connectome/connectome-workbench.html | SCR_008750 | 2026-08-05 10:45:05 | 56 | ||||||
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DOTS WM tract segmentation Resource Report Resource Website 100+ mentions |
DOTS WM tract segmentation (RRID:SCR_009459) | DOTS | data processing software, segmentation software, image analysis software, software application, software resource | A fast, scalable tool developed at the Johns Hopkins University to automatically segment the major anatomical fiber tracts within the human brain from clinical quality diffusion tensor MR imaging. With an atlas-based Markov Random Field representation, DOTS directly estimates the tract probabilities, bypassing tractography and associated issues. Overlapping and crossing fibers are modeled and DOTS can also handle white matter lesions. DOTS is released as a plug-in for the MIPAV software package and as a module for the JIST pipeline environment. They are therefore cross-platform and compatible with a wide variety of file formats. | magnetic resonance, diffusion tensor mr imaging, dti, fiber tract, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: MIPAV: Medical Image Processing and Visualization is related to: JIST: Java Image Science Toolkit has parent organization: Johns Hopkins University; Maryland; USA |
NIDA K25DA025356 | PMID:21718790 | Free | nlx_155605 | SCR_009459 | Diffusion-Oriented Tract Segmentation White Matter tract segmentation, Diffusion-Oriented Tract Segmentation | 2026-08-05 10:45:07 | 115 | |||||
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C8: Corpus Callosum Computations Resource Report Resource Website 1+ mentions |
C8: Corpus Callosum Computations (RRID:SCR_009449) | C8 | data processing software, software application, software toolkit, software resource, image processing software | A small, stand-alone MatLab toolbox that measures sagittal cross-section thickness and area of the human corpus callosum from high-resolution T1 in vivo MR images. C8 takes as input affine normalized white matter segmentations derived from high-resolution (in-plane) T1 images and outputs both regional callosal thicknesses in three different formats and geometrically-defined regional areas in three different configurations. It is a small package that is easily configurable and modifiable and it measures callosa at the rate of several per minute. | magnetic resonance, corpus callosum | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Creative Commons Attribution License | nlx_155593 | SCR_009449 | 2026-08-05 10:45:11 | 1 | ||||||||
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Best Practices for Software Development Resource Report Resource Website |
Best Practices for Software Development (RRID:SCR_009441) | Best Practices for Software Development | knowledge environment, data or information resource, training material, narrative resource | A tutorial that took place as part of MICCAI 2010 is the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, September 20-24, 2010 in Beijing, China. See http://www.miccai2010.org/ This project supporedt community outreach and dialog between presenters and audience, both before and after the tutorial session, and is intended to engage the broader community in the deliberations on this important topic. ''Best Practices'' covered software engineering practices as well end-user installation and support practices. | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Creative Commons License | nlx_155585 | SCR_009441 | Best Practices for Software Development in the Imaging Community: Users and Developers Unite | 2026-08-05 10:45:11 | 0 | ||||||||
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Baby Brain Toolkit Resource Report Resource Website |
Baby Brain Toolkit (RRID:SCR_009440) | BTK | data processing software, image analysis software, software application, software toolkit, software resource, image processing software | Software toolkit developed for the fbrain project that consists of several image processing tools: image reconstruction, image denoising, image segmentation, tractography etc., for a better understanding of fetal brain development. | computational neuroscience, magnetic resonance, fetus, brain, development, mri | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | ERC | PMID:23036854 | CeCILL license, v2 | nlx_155584 | SCR_009440 | BTK : Baby Brain Toolkit | 2026-08-05 10:45:13 | 0 | |||||
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Framework for Open Programmatic Access Resource Report Resource Website |
Framework for Open Programmatic Access (RRID:SCR_009479) | FOPA | data or information resource, standard specification, narrative resource | A standardized framework for communication and data exchange between medical imaging applications, with particular focus on neuroimaging technologies. FOPA is an attempt to design and implement a common protocol for network and command line communication with either file-system or imbedded data structures. Initial reference implementations will support interoperability between ITK, VTK, and Java platforms. Contributions are welcome from other neuroimaging development communities. | computed tomography, magnetic resonance, pet, spect, neuroimaging, interoperability | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | BSD License, The community can contribute to this resource | nlx_155626 | SCR_009479 | 2026-08-05 10:45:13 | 0 | ||||||||
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Non-rigid groupwise registration method Resource Report Resource Website |
Non-rigid groupwise registration method (RRID:SCR_009512) | Non-rigid groupwise registration method | data processing software, image analysis software, software application, registration software, software resource | An open source implementation of a non-rigid groupwise registration method. This project is implemented by Serdar K Balci (serdar at csail.mit.edu) and supervised by Polina Golland and William M. Wells All metrics are implementing in a multi-threaded fashion. The algorithm will run faster on computers with multiple CPU''s. | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
nlx_155674 | SCR_009512 | 2026-08-05 10:45:08 | 0 | |||||||||
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NITRC Books Resource Report Resource Website |
NITRC Books (RRID:SCR_009510) | NITRC Books | book, data or information resource, bibliography, narrative resource | Bibliography of books related to neuroscience addressing the topic of functional and structural neuroimaging. | fmri, cognitive neuroscience, atlas, image analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
nlx_155671 | SCR_009510 | 2026-08-05 10:45:12 | 0 | |||||||||
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Epsilon Radial Networks Resource Report Resource Website |
Epsilon Radial Networks (RRID:SCR_009470) | ERNs | data processing software, image analysis software, software application, software resource, image processing software | An efficient framework for building and analyzing graphs called epsilon radial networks (ERNs) using tractography data in a normalized space. Currently there is no agreed-upon method for constructing the brain anatomical connectivity graphs out of large number of white matter tracts. The key challenge in defining brain networks is node delineation and their method defines nodes in the graph using tract-end points clustered in a sphere of a given radius (epsilon). Using a kd-tree based search algorithm they can identify the nodes computationally efficiently and in a fully automatic way. These networks can be used not only to analyze topo-physical properties of the structural brain networks but also to perform classical region-of-interest (ROI) analyses in a very efficient way. Thus ERNs can be used as a novel image processing lens for statistical and machine learning based analyses. | magnetic resonance, connectivity, white matter tract | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | DTI-TK license, Http://www.nitrc.org/include/glossary.php#540 | nlx_155617 | SCR_009470 | 2026-08-05 10:45:07 | 0 | ||||||||
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Local Label Learning Segmentation Resource Report Resource Website 1+ mentions |
Local Label Learning Segmentation (RRID:SCR_009504) | LLL Segmentation | data processing software, segmentation software, image analysis software, software application, software resource | Software using a novel local label learning strategy to estimate the target image?s segmentation label using statistical machine learning techniques. They used a support vector machine (SVM) with a K nearest neighbor (KNN) based training sample selection strategy to learn a classifier for each of the target image voxel based on a training dataset consisting of its neighboring voxels in the atlases. Validation experiments on hippocampus segmentation of 117 MR images demonstrated that the method can produce segmentation results consistently better than state-of-the-art label fusion methods. | magnetic resonance, svm, segmentation, local label learning, multi-atlas based segmentation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Chinese Academy of Sciences; Beijing; China |
PMID:24151008 | BSD License | nlx_155653 | SCR_009504 | Local Label Learning (LLL) Segmentation | 2026-08-05 10:45:12 | 1 |
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