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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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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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Brain Dynamics Centre Resource Report Resource Website |
Brain Dynamics Centre (RRID:SCR_001685) | database, data or information resource, topical portal, portal | The Brain Dynamics Centre (BDC) is a network of centers and units. It achieves a unique exploration of the healthy brain and disorders of brain function. It translates these insights into new ways to tailor treatments to the individual. There approach is: "integrative neuroscience" - bringing together clinical observations, theory, and modern imaging technologies. And it's theoretical framework derives from linking physiology, psychology and evolution. Additionally, BDC also actively researches ADHD and conduct disorder, stress and trauma-related problems, depression and anxiety, anorexia nervosa, psychosis (including early onset) and conversion disorders. The research facilities DBC include assessment, rooms, two cognition-brain function laboratories, genotyping and an MRI Suite with 1.5 and 3T GE systems. BDC is the coordinating site for an international network - BRAINnet. It has over 180 members, and coordinates access to the first standardized database on the human brain for scientific purposes: Brain Resource International Database. | evolution, function, genetics, adhd, anorexia nervosa, anxiety, behavior, brain, brain disorder, brain imaging, clinical, cognition, conduct disorder, conservation disorder, database, depression, disorder, genotyping, healthy, human, keywords: brain, laboratory, mental illness, mri, neuroscience, onset, physiology, post traumatic stress disorder (ptsd), psychology, psychosis, research, stress, technology, trauma, treatment | Free, Freely Available | nif-0000-10177 | SCR_001685 | BDC | 2026-07-28 09:40:22 | 0 | |||||||||
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Duke University Medical Center: Duke Image Analysis Laboratory Resource Report Resource Website 10+ mentions |
Duke University Medical Center: Duke Image Analysis Laboratory (RRID:SCR_001716) | database, data or information resource, topical portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Duke Image Analysis Laboratory (DIAL) is committed to providing comprehensive imaging support in research studies and clinical trials to various agencies. The capabilities of the lab include protocol development, site training and certification, and image archival and analysis for a variety of modalities including magnetic resonance imaging, magnetic resonance spectroscopy, computed tomography and nuclear medicine. DIAL uses the latest technologies to analyze Magnetic Resonance Imaging (MRI) data sets of the brain. Currently the lab is engaged in measurement of the hippocampus, amygdala, caudate, ventricular system, and other brain regional volumes. Each of these techniques have undergone a rigorous validation process. The measurements of brain structures provide a useful means of non-invasively testing for changes in the brain of the patient. Changes over time in the brain can be detected, and evaluated with respect to the treatment that the patient is receiving. Magnetic Resonance Spectroscopy (MRS) allows DIAL to obtain an accurate profile of the chemical content of the brain. This sensitive technique can detect small changes in the metabolic state of the brain; changes that vary in response to administration of therapeutic agents. The ability to detect these subtle shifts in brain chemistry allows DIAL to identify changes in the brain with more sensitivity than allowed by image analysis. In this respect, NMR spectroscopy can provide early detection of changes in the brain, and serves to compliment the data obtained from image analysis. Additionally, DIAL also contains SQUID (Scalable Query Utility and Image Database). It is an image management system developed to facilitate image management in research and clinical trials: SQUID offers secure, redundant image storage and organizational functions for sorting and searching digital images for a variety of modalities including MRI, MRS, CAT Scan, X-Ray and Nuclear Medicine. SQUID can access images directly from DUMC scanners. Data can also be loaded via DICOM CDs, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | academic, amygdala, analysis, biotechnology, brain, cat scan, caudate, chemical, clinical, computed, development, digital, hippocampus, imaging, lab, laboratory, magnetic resonance imaging, magnetic resonance spectroscopy, medical, medicine, metabolic, mri, mrs, nmr, nuclear, nuclear medicine, pharmaceutical, research, spectroscopy, structure, technology, therapeutic, tomography, treatment, trial, ventricular, ventricular system, volume, x-ray, FASEB list | has parent organization: Duke University; North Carolina; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10213 | SCR_001716 | DMC DIAL | 2026-07-28 09:40:15 | 33 | ||||||||
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George Mason University: Krasnow Institute for Advanced Study Resource Report Resource Website |
George Mason University: Krasnow Institute for Advanced Study (RRID:SCR_001741) | training resource, data or information resource, organization portal, postdoctoral program resource, portal | The Krasnow Institute seeks to expand understanding of mind, brain, and intelligence by conducting research at the intersection of the separate fields of cognitive psychology, neurobiology, and the computer-driven study of artificial intelligence and complex adaptive systems. These separate disciplines increasingly overlap and promise progressively deeper insight into human thought processes. The Institute also examines how new insights from cognitive science research can be applied for human benefit in the areas of mental health, neurological disease, education, and computer design. It is this informed access to mind and brain that is the core of the mission of The Krasnow Institute. While their goals and tools are scientific, they also are fully cognizant of the applications of the results for the benefit of mankind, in areas like mental health, neurological diseases, and computer design. In asking the major questions they realized the necessity of being flexible, innovative, and trans-disciplinary. Therefore, they became dedicated to bringing together scholars from a wide variety of specialties and providing a milieu where they can be both productive and interactive. This institute will provide these researchers with the tools required to move ahead and create an environment of optimal scientific integrity coupling innovation with risk taking. The Krasnow institute is especially attuned to the deep insights from evolutionary biology, which is at the root of understanding all organismic functions including cognition; computer studies of complex systems, which present a revolution in our ability to deal with the world of interactive agents; and a long history of cognitive psychology, which provides a huge data base of human abilities and responses. It also continues to develop its long-term research program based on the contributions of George Mason University faculty holding joint appointments at Krasnow and other GMU academic departments. Additionally, the Krasnow Institute Department of Molecular Neuroscience, together with the College of Science (COS) and the College of Humanities and Social Sciences (CHSS), oversees the campus-wide Neuroscience Council in developing the Neuroscience PhD curriculum. Research groups in the Krasnow institute include: - Adaptive Systems Laboratory - Center for Neural Dynamics - Center for Social Complexity - Center for the Study of Neuroeconomics o Neuroeconomics Laboratory - Comparative Vertebrate Neurobiology Research Group - Center for Neuroinformatics, Neural Structures, and Neuroplasticity (CN3) o Computational and Experimental Neuroplasticity (CENlab) o Computational Neuroanatomy Group o Physiological and Behavioral Neuroscience in Juveniles (PBNJ) Lab - Receptor Complexes and Signaling Lab - Krasnow Investigations of Developmental Learning and Behavior (KIDLAB) - Neuro Imaging Core of the Krasnow Institute | dynamics, education, emotion, evolutionary, function, adaptive, artificial, behavior, behavioral, biology, biomedical, brain, cognition, cognitive, cognitive science, complex, computational, computer, design, disease, happiness, homo sapiens, human, imaging, intelligence, learning, mental health, mind, nature, neural, neuroanatomy, neurobiology, neuroeconomics, neuroinformatics, neurological, neuroplasticity, organismic, physiological, psychology, receptor, research, signaling, social, structure, system, theological, thought, vertebrate |
has parent organization: George Mason University; Virginia; USA is parent organization of: BraVa is parent organization of: Computational Neuroanatomy Group |
Free, Freely Available | nif-0000-10239 | SCR_001741 | GMU Kransnow | 2026-07-28 09:40:23 | 0 | ||||||||
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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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Neural Systems and Graphics Computing Laboratory: Micro3D Software Resource Report Resource Website |
Neural Systems and Graphics Computing Laboratory: Micro3D Software (RRID:SCR_001811) | software application, data analysis software, software resource, data processing software, data visualization software | The Micro3D 2004 is a software for 3-D reconstruction, visualization, and analysis of neuronal populations and brain regions. Micro3D generates geometric models from line and point coded data sets, representing labeled objects such as cell bodies or axonal plexuses, and boundaries of brain regions in serial sections. Data are typically imported from image-combining computerized microscopy systems, such as Neurolucida (MicroBrightField, Colchester, VT). The models may be rotated and zoomed in real-time. Surfaces are re-synthesized on the basis of stacks of contour lines. Clipping is used for defining section-independent subdivisions of the model. Flattening of sheets of points in curved layers (e.g., neurons in a cortical lamina) facilitates inspection of complicated distribution patterns. Micro3D computes color-coded density maps, and allows production of mpeg videos. Micro3D 2004 runs on LINUX PCs equipped with Open Inventor. It performs operations similar to the Silicon Graphics based version that has been used in more than 25 investigations and in various species, ranging from insects to monkeys, at the LM- and EM-level. Sponsors:Micro 3D was developed with support from The Research Council of Norway and The Oslo Research Park / FORNY. | 3-d reconstruction, analysis, axonal plexus, brain, cell body, computerized, contour line, density map, geometric, insect, microscopy, model, monkey, neuronal, object, population, region, serial section, software, specie, visualization, image | PMID:16596747 | Free, Available for download, Freely available | nif-0000-10375 | SCR_001811 | NeSys Micro3D | 2026-07-28 09:40:16 | 0 | ||||||||
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Cognitive Neuroscience Society Resource Report Resource Website |
Cognitive Neuroscience Society (RRID:SCR_001990) | people resource, community building portal, training resource, data or information resource, job resource, meeting resource, portal | The Cognitive Neuroscience Society (CNS) is committed to the development of mind and brain research aimed at investigating the psychological, computational, and neuroscientific bases of cognition. Since its founding in 1994, the Society has been dedicated to bringing its 2000 worldwide members the latest research and dialogues in order to facilitate public, professional and scientific discourse. The term cognitive neuroscience has now been with us for almost three decades, and identifies an interdisciplinary approach to understanding the nature of thought. Our members, who are engaged in research focused on elucidating the biological underpinnings of mental processes, form a network of scientists and scholars working at the interface of mind, brain and behavior research. The findings of this research are presented at our member-supported annual scientific conference. The three-day program of plenary speakers, symposia, posters and special events covers all aspects of cognitive neuroscience research. The Society also disseminates information regarding employment opportunities, training fellowships, research grants, and information on related scientific conferences in its monthly newsletter. Our members can receive the Journal of Cognitive Neuroscience at a substantial discount. | behavior, brain, cognition, cognitive neuroscience, computational, human, mind, neuroscientific, psychological, research | nif-0000-10675 | SCR_001990 | CNS | 2026-07-28 09:40:19 | 0 | ||||||||||
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Brain and Behavior Research Foundation Resource Report Resource Website 10+ mentions |
Brain and Behavior Research Foundation (RRID:SCR_001992) | data or information resource, topical portal, funding resource, portal |
The Brain and Behavior Research Foundation (formerly NARSAD, the National Alliance for Research on Schizophrenia and Depression) is committed to alleviating the suffering of mental illness by awarding grants that will lead to advances and breakthroughs in scientific research. Additionally, learn about brain and behavior disorders and upcoming events. 100% of all donor contributions for research are invested in NARSAD Grants leading to discoveries in understanding causes and improving treatments of disorders in children and adults, such as depression, bipolar disorder, schizophrenia, autism, attention deficit hyperactivity disorder, and anxiety disorders like obsessive-compulsive and post-traumatic stress disorders. Over a quarter of a century, we have awarded nearly $300 million worldwide to more than 3,000 scientists carefully selected by our prestigious Scientific Council. We receive no government funding. All of our work relies on contributions from families, foundations and other caring donors. |
adult, child, attention deficit-hyperactivity disorder, autism, behavior disorder, bipolar disorder, brain, depressive disorder, human, mental health, research, mental disease, neuropsychiatric illness, proceedings, grant, schizophrenia, post-traumatic stress disorder, anxiety disorder, autism, obsessive-compulsive disorder | nif-0000-12459 | http://www.narsad.org/ | SCR_001992 | National Alliance on Research in Schizophrenia and Depression, NARSAD: The Worlds Leading Charity Dedicated to Mental Health Research, NARSAD: The Brain and Behavior Research Fund, Brain & Behavior Research Foundation, Brain Behavior Research Foundation, National Alliance for Research on Schizophrenia Depression | 2026-07-28 09:40:19 | 26 | |||||||||
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www.brainmapping.org Resource Report Resource Website 1+ mentions |
www.brainmapping.org (RRID:SCR_001987) | people resource, community building portal, training resource, data or information resource, software resource, knowledge environment, portal | This is a topical portal dedicated to the communication of news, science, and information of interest to the brain mapping community, and to sharing and promoting the science of brain mapping. The purpose and goal of brain mapping is to advance the understanding of the relationship between structure and function in the human brain. Scientists in this field seek to gain knowledge of the physical processes that underly human sensation, attention, awareness and cognition. These results are immediately applicable to surgical intervention, to the design of medical interventions and to the treatment of psychological and psychiatric disorders. | function, attention, awareness, brain, brain mapping, cognition, cognitive neuroscience, human, journals, manufacturers, mri, mri safety, scientific societies, sensation, structure, subjects, neuroimaging, video | has parent organization: University of California at Los Angeles; California; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10669 | SCR_001987 | brainmapping.org | 2026-07-28 09:40:30 | 1 | ||||||||
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ISCBFM - International Society for Cerebral Blood Flow and Metabolism Resource Report Resource Website |
ISCBFM - International Society for Cerebral Blood Flow and Metabolism (RRID:SCR_001989) | ISCBFM | k- program resource, narrative resource, training resource, data or information resource, meeting resource, topical portal, portal | The International Society for Cerebral Blood Flow & Metabolism is a corporation operated exclusively for the purpose of promoting the advancement of education in the science of cerebral blood flow and metabolism throughout the world. The ISCBFM produces a quarterly newsletter, an official journal (Journal of Cerebral Blood Flow & Metabolism), have a yearly meeting, opportunities to host summer schools and a job board. ISCBFM members organize summer schools which are courses that have the aim to bring together young and experienced scientists for educational purposes. The biennial Brain Meetings also have a substantial part of the time allocated for educational purposes for young scientists interested in the field of cerebral blood flow and metabolism. Preference will be given to suggestions that are seen as a complement to scheduled courses in connection with the Brain Meetings and to courses that are given in between Brain Meetings. | brain, cerebral blood flow, human, metabolism, newsletter, summer school, k-12 | is related to: Journal of Cerebral Blood Flow and Metabolism | nif-0000-10674 | SCR_001989 | International Society for Cerebral Blood Flow and Metabolism, International Society for Cerebral Blood Flow Metabolism, ISCBFM - International Society for Cerebral Blood Flow Metabolism | 2026-07-28 09:40:19 | 0 | ||||||||
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Organization for Human Brain Mapping Resource Report Resource Website 1+ mentions |
Organization for Human Brain Mapping (RRID:SCR_001978) | data or information resource, organization portal, topical portal, portal | International society dedicated to advancing understanding of anatomical and functional organization of human brain using neuroimaging. Primary function of society is to provide educational forums for exchange of up-to-the-minute and groundbreaking research across neuroimaging methods and applications. OHBM achieves this through its member led committees and Annual Meeting that is held in different locations throughout the world. | dti, eeg, fmri, functional, anatomical, brain, brain imaging, brain mapping, cognitive neuroscientists, human, imaging genetics, research, structural, structural mri, tractography, transcranial magnetic stimulation, neuroimaging, meg | nif-0000-10633 | SCR_001978 | OHBM | 2026-07-28 09:40:18 | 1 | ||||||||||
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Shiley-Marcos Alzheimer's Disease Research Center Resource Report Resource Website 1+ mentions |
Shiley-Marcos Alzheimer's Disease Research Center (RRID:SCR_001928) | UCSD ADRC | disease-related portal, data or information resource, organization portal, topical portal, portal | The UCSD ADRC conducts a wide variety of research studies dedicated to understanding the causes, clinical features, and treatments for Alzheimer's disease and related memory disorders. The goal of the center is to discover ways to prevent and eradicate the disease. The Center aims to maintain research subjects, clinical resources, and clinical data to support ongoing and proposed research and to assist in the development of new clinical and interdisciplinary research. An Alzheimer's brain bank with well characterized cases, including Mild Cognitive Impairment and Lewy Body disease, is maintained at the Center. | alzheimer's disease, brain, cognitive, dementia, disease, disorder, impairment, lewy body disease, memory, neurological, neuropathologist, neuropsychological | has parent organization: University of California at San Diego; California; USA | Alzheimer's disease, Lewy Body disease, Memory disorder | Public | nif-0000-10501 | SCR_001928 | University of California at San Diego Shiley-Marcos Alzheimer's Disease Research Center | 2026-07-28 09:40:28 | 1 | ||||||
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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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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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Human Brain Project EU Resource Report Resource Website 50+ mentions |
Human Brain Project EU (RRID:SCR_002241) | HBP EU, HBP, European HBP, | funding resource, data or information resource, organization portal, portal | Global, collaborative effort for neuroscience, medicine and computing to understand brain, its diseases and its computational capabilities. Goal is to obtain access to research, data sources, platforms and infrastructures offered by other organisations, and enabling organizations outside HBP to use HBP platforms to pursue their own research. Coordinating these activities is the responsibility of the European Research Programme. | brain, ethics, neuroscience, medicine, computing, treatment, brain disease, neuroinformatics, software development, computational modeling, software, connectomics |
is related to: BigBrain is related to: Julich-Brain Cytoarchitectonic Atlas is parent organization of: subcellular application is parent organization of: Subcellular App |
Restricted | nlx_155553 | SCR_002241 | European Human Brain Project | 2026-07-28 09:40:35 | 67 | |||||||
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Histology of Nervous Tissue Laboratory Course Resource Report Resource Website |
Histology of Nervous Tissue Laboratory Course (RRID:SCR_002367) | Histology of Nervous Tissue | data or information resource, narrative resource, training material | A website for a neuroscience lab class from the University of South Carolina that contains images of different parts of the nervous system and allows students to identify each part and answer questions about it. You should be able to (a) recognize nervous tissue in routine histological sections; (b) distinguish peripheral nerves from dense CT and smooth muscle; (c) recognize the morphological differences between myelinated and unmyelinated nerves at both the light microscopic and electron microscopic levels; (d) recognize nerve cell bodies and their component parts; (e) identify and differentiate dendrites and axons; (f) understand and identify various types of neuroglia, including Schwann cells; (g) understand and identify the structural relationship of the Schwann cell cytoplasm and plasma membrane enveloping axons; (h) understand the general features of nerve synapses. You should be able to draw nerves, cell bodies, Nodes of Ranvier, synapses etc. as they would appear under both the electron and light microscopes. | brain, class, histology, laboratory, material, nervous system, neuron, microscopy, neuroscience, peripheral nerve, light microscopy, electron microscopy, nerve cell, neuroglia, nervous tissue, image, glass slide, slide | has parent organization: University of South Carolina School of Medicine; South Carolina; USA | nif-0000-21192 | SCR_002367 | Histology of Nervous Tissue Laboratories 9 and 10 | 2026-07-28 09:40:36 | 0 | ||||||||
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iBEAT Resource Report Resource Website 10+ mentions |
iBEAT (RRID:SCR_002470) | iBEAT | software application, image analysis software, software resource, data processing software, image processing software, software toolkit | A toolbox with graphical user interfaces for processing infant brain MR images. Longitudinal (or single-time-point) multimodality (including T1, T2, and FA) (or single-modality) data can be processed using the toolbox. Main functions of the software (step by step) include image preprocessing, brain extraction, tissue segmentation and brain labeling. Linux operating system (64 bit) is required. A workstation or server with memory >8G is recommended for processing many images simutaneously. The graphical user interfaces and overall framework of the software are implemented in MATLAB. The image processing functions are implemented with the combination of C/C++, MATLAB, Perl and Shell languages. Parallelization technologies are used in the software to speed up image processing. | atlas application, atlas data, data resource, image display, information resource, magnetic resonance, registration, segmentation, spatial transformation, visualization, warping, mri, infant, brain |
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 |
PMID:23055044 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155851 | http://www.nitrc.org/projects/ibeat | SCR_002470 | Infant Brain Extraction and Analysis Toolbox, LIBRA, iBEAT: Infant Brain Extraction and Analysis Toolbox | 2026-07-28 09:40:26 | 34 | |||||
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JOSA Resource Report Resource Website |
JOSA (RRID:SCR_024756) | software application, software resource, data processing software, registration software, image analysis software | Software tool for joint surface based registration and atlas construction of brain geometry and function.Cortical registration framework that jointly models mismatch between geometry and function while simultaneously learning unbiased population specific atlas. | joint surface based registration, atlas construction, brain, fMRI, brain structure and function, recognizing mismatch between geometry and function, |
is a plug in for: FreeSurfer is organization facet of: BRAIN Initiative Cell Atlas Network |
DOI:10.48550/arXiv.2311.08544 | Restricted | SCR_024756 | JOint Spherical registration and Atlas building | 2026-07-28 09:46:13 | 0 | ||||||||
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FMRIB's Linear Image Registration Tool Resource Report Resource Website 10+ mentions |
FMRIB's Linear Image Registration Tool (RRID:SCR_024922) | FLIRT | software application, software resource, data processing software, registration software, image analysis software | Sotware automated robust and accurate tool for linear (affine) intra- and inter-modal brain image registration. | linear, affine, intra, inter, modal, brain, image, registration, brain image registration, | is a plug in for: FSL | Free, Freely available | SCR_024922 | 2026-07-28 09:46:12 | 12 | |||||||||
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Bipolar Disorder Neuroimaging Database Resource Report Resource Website 1+ mentions |
Bipolar Disorder Neuroimaging Database (RRID:SCR_007025) | BiND | data or information resource, database | Database of 141 studies which have investigated brain structure (using MRI and CT scans) in patients with bipolar disorder compared to a control group. Ninety-eight studies and 47 brain structures are included in the meta-analysis. The database and meta-analysis are contained in an Excel spreadsheet file which may be freely downloaded from this website. | magnetic resonance imaging assay, cat imaging assay, mri, brain, neuroimaging, normal control, image | has parent organization: King's College London; London; United Kingdom | Bipolar Disorder | King's College London; England; United Kingdom ; National Institute for Health Research NIHR Biomedical Research Centre for Mental Health ; South London and Maudsley NHS Foundation ; MRC |
PMID:18762588 | nlx_149352 | SCR_007025 | Bipolar Disorder Neuroimaging Database (BiND) | 2026-07-28 09:41:48 | 3 |
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