Literature DB >> 26044860

The NITRC image repository.

David N Kennedy1, Christian Haselgrove2, Jon Riehl3, Nina Preuss4, Robert Buccigrossi4.   

Abstract

The Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC - www.nitrc.org) suite of services include a resources registry, image repository and a cloud computational environment to meet the needs of the neuroimaging researcher. NITRC provides image-sharing functionality through both the NITRC Resource Registry (NITRC-R), where bulk data files can be released through the file release system (FRS), and the NITRC Image Repository (NITRC-IR), a XNAT-based image data management system. Currently hosting 14 projects, 6845 subjects, and 8285 MRI imaging sessions, NITRC-IR provides a large array of structural, diffusion and resting state MRI data. Designed to be flexible about management of data access policy, NITRC provides a simple, free, NIH-funded service to support resource sharing in general, and image sharing in particular.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Mesh：

Year:  2015        PMID： 26044860      PMCID： PMC4651733          DOI： 10.1016/j.neuroimage.2015.05.074

Source DB:  PubMed          Journal:  Neuroimage        ISSN： 1053-8119            Impact factor:   6.556


  6 in total

Review 1.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

2.  The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data.

Authors:  Daniel S Marcus; Timothy R Olsen; Mohana Ramaratnam; Randy L Buckner
Journal:  Neuroinformatics       Date:  2007

3.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

Authors:  R W Cox
Journal:  Comput Biomed Res       Date:  1996-06

4.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience.

Authors:  Yaroslav O Halchenko; Michael Hanke
Journal:  Front Neuroinform       Date:  2012-06-29       Impact factor: 4.081

6.  Neuroscience Runs on GNU/Linux.

Authors:  Michael Hanke; Yaroslav O Halchenko
Journal:  Front Neuroinform       Date:  2011-07-07       Impact factor: 4.081
  6 in total
  26 in total

1.  Foundry: a message-oriented, horizontally scalable ETL system for scientific data integration and enhancement.

Authors:  Ibrahim Burak Ozyurt; Jeffrey S Grethe
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

2.  A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging.

Authors:  Ryan P Cabeen; Mark E Bastin; David H Laidlaw
Journal:  Neuroimage       Date:  2016-11-12       Impact factor: 6.556

3.  A very simple, re-executable neuroimaging publication.

Authors:  Satrajit S Ghosh; Jean-Baptiste Poline; David B Keator; Yaroslav O Halchenko; Adam G Thomas; Daniel A Kessler; David N Kennedy
Journal:  F1000Res       Date:  2017-02-10

4.  Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging.

Authors:  David N Kennedy; Sanu A Abraham; Julianna F Bates; Albert Crowley; Satrajit Ghosh; Tom Gillespie; Mathias Goncalves; Jeffrey S Grethe; Yaroslav O Halchenko; Michael Hanke; Christian Haselgrove; Steven M Hodge; Dorota Jarecka; Jakub Kaczmarzyk; David B Keator; Kyle Meyer; Maryann E Martone; Smruti Padhy; Jean-Baptiste Poline; Nina Preuss; Troy Sincomb; Matt Travers
Journal:  Front Neuroinform       Date:  2019-02-07       Impact factor: 4.081

5.  Predicting age from cortical structure across the lifespan.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Eur J Neurosci       Date:  2018-02-12       Impact factor: 3.386

6.  Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.

Authors:  Germán González; Conor L Evans
Journal:  Bioessays       Date:  2019-05-16       Impact factor: 4.345

Review 7.  Lesion Studies in Contemporary Neuroscience.

Authors:  Avinash R Vaidya; Maia S Pujara; Michael Petrides; Elisabeth A Murray; Lesley K Fellows
Journal:  Trends Cogn Sci       Date:  2019-07-03       Impact factor: 20.229

8.  INCloud: integrated neuroimaging cloud for data collection, management, analysis and clinical translations.

Authors:  Qingfeng Li; Lijuan Jiang; Kaini Qiao; Yang Hu; Bing Chen; Xiaochen Zhang; Yue Ding; Zhi Yang; Chunbo Li
Journal:  Gen Psychiatr       Date:  2021-12-23

9.  Quantifying performance of machine learning methods for neuroimaging data.

Authors:  Lee Jollans; Rory Boyle; Eric Artiges; Tobias Banaschewski; Sylvane Desrivières; Antoine Grigis; Jean-Luc Martinot; Tomáš Paus; Michael N Smolka; Henrik Walter; Gunter Schumann; Hugh Garavan; Robert Whelan
Journal:  Neuroimage       Date:  2019-06-05       Impact factor: 7.400

10.  Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™.

Authors:  David S Liebeskind
Journal:  Front Med (Lausanne)       Date:  2016-11-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.