Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python
about
A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movieA correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughtsMapping track density changes in nigrostriatal and extranigral pathways in Parkinson's diseaseImproving functional magnetic resonance imaging reproducibilityNeuroimaging of the Philadelphia neurodevelopmental cohort.A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes.Decreased Cerebellar-Orbitofrontal Connectivity Correlates with Stuttering Severity: Whole-Brain Functional and Structural Connectivity Associations with Persistent Developmental Stuttering.A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging ResearchA Hitchhiker's Guide to Functional Magnetic Resonance ImagingParallel workflow tools to facilitate human brain MRI post-processingCyberinfrastructure for Open Science at the Montreal Neurological InstituteSharing brain mapping statistical results with the neuroimaging data modelThe brain imaging data structure, a format for organizing and describing outputs of neuroimaging experimentsFrom Brain Maps to Cognitive Ontologies: Informatics and the Search for Mental Structure.Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environmentA high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures.Connectomics and new approaches for analyzing human brain functional connectivityCBRAIN: a web-based, distributed computing platform for collaborative neuroimaging researchHuman neuroimaging as a "Big Data" scienceA framework for streamlining research workflow in neuroscience and psychologyA midas plugin to enable construction of reproducible web-based image processing pipelinesInstrumentation bias in the use and evaluation of scientific software: recommendations for reproducible practices in the computational sciencesPANDA: a pipeline toolbox for analyzing brain diffusion images3D Slicer as an image computing platform for the Quantitative Imaging NetworkData sharing in neuroimaging researchA very simple, re-executable neuroimaging publicationThe Calculation of Language Lateralization Indices in Post-stroke Aphasia: A Comparison of a Standard and a Lesion-Adjusted Formula.Design, implementation and operation of a multimodality research imaging informatics repository.The neural correlates of speech motor sequence learningOptimized design and analysis of sparse-sampling FMRI experiments.Functional maturation of the executive system during adolescenceVowel category boundaries enhance cortical and behavioral responses to speech feedback alterationsNeural Mechanisms of Emotion Regulation in Autism Spectrum Disorder.The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software toolsMNE software for processing MEG and EEG dataMEG and EEG data analysis with MNE-Python.Dipy, a library for the analysis of diffusion MRI data.Connectivity precedes function in the development of the visual word form areaNeuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework.The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions
P2860
Q23891124-032819B2-A7A2-4F61-9956-ADD589ED4578Q23992232-F54FA72D-C5A8-41E9-BF7C-5A9D367AE7F6Q24040262-12D5D460-D870-4FDD-99EE-66A33A52CE27Q24288840-9EF91260-76DB-4250-8E0C-C3EDAEBFAD77Q26863642-75776E14-7CAB-46A8-BAB4-A0C757545086Q27307264-A957921D-9A8B-432A-ABA2-3B5FEFA31308Q27315957-8A0BD390-4642-4CAB-A233-1962018E13E0Q27826377-9C15D10C-C229-492B-BB22-E144AA1D84F5Q28066281-36BF44DE-894C-4571-9CA5-D6FF0EF7F63CQ28084185-7203A595-3C9B-4FBB-9A9D-41FD7036B8DCQ28555091-C227087F-76B5-4E17-A3B6-6F83DA4347E4Q28589376-0DB1FE87-6216-49BC-90E9-D76F199142A9Q28598083-734019ED-ED1C-409F-948A-B4CD0BD64888Q28603206-23509071-1D72-42D7-802D-14492F17A128Q28646912-FF4385E8-83DC-4384-BB99-591A84FEF060Q28648337-6A21A2A1-576E-4C45-AE05-7DB03500C8EAQ28651611-12B836E0-5963-421D-BC3D-692797AA0F5AQ28659305-6F0C69CC-3854-4DC0-A64D-061F921953F3Q28660220-E7E26BF1-1868-409C-BB7D-84729D799665Q28660555-4369D450-310E-4AF2-9713-F2588DA75147Q28660940-864590E2-6171-43E4-AFCC-4DA49C948255Q28681128-7712D7A8-0699-44FA-A7C6-A427AE40B697Q28708001-98AA3F6D-F5BA-4A08-A289-C37065A18574Q28727260-B7B0333B-DE44-46EE-9149-3F2358CA808BQ28730743-A717CB46-D51A-4C4C-B9A8-AC5AB4EF6035Q29014815-21A41C0E-6DCF-4EBD-B0C2-942C503F30CCQ30371573-ABE7E20B-9959-4E1C-954D-A1C11096B3D4Q30414422-8C9F3A53-9B8D-4C3F-BBC8-9611A37900B4Q30415346-0E57E022-2AE0-4958-A99E-F2006F9DDAB7Q30429762-C6ABB4D2-5264-4AFB-8136-ADEAF0E72D8EQ30440351-53FE0564-88C3-4A72-A35F-4E67569A1267Q30444303-337CA71A-A421-4AA8-92F3-72961BFB3E53Q30658968-039FE7F7-ADDC-4737-A8CC-54560BAF7E6DQ30663360-1B8345A2-8578-4EEA-992B-EE23C1A2EB11Q30684539-6CB11BC9-358F-4CE5-8645-CE9D1153CB5EQ30734872-DFFC7277-40E1-4616-9674-64CBAF628DBBQ30771780-85259FB5-C5B4-45B1-9D4F-5B5D577D3016Q30804788-6ED7DD67-4F5B-4BF3-939A-87D66732EAFDQ30841961-5F965B41-0AC7-4D31-BE7D-1EAA0BCA25CFQ30855362-741DC8F4-93B0-4594-84C6-5F545D8BA198
P2860
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python
description
2011 nî lūn-bûn
@nan
2011 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Nipype: a flexible, lightweigh ...... processing framework in python
@ast
Nipype: a flexible, lightweigh ...... processing framework in python
@en
type
label
Nipype: a flexible, lightweigh ...... processing framework in python
@ast
Nipype: a flexible, lightweigh ...... processing framework in python
@en
prefLabel
Nipype: a flexible, lightweigh ...... processing framework in python
@ast
Nipype: a flexible, lightweigh ...... processing framework in python
@en
P2093
P2860
P50
P356
P1476
Nipype: a flexible, lightweigh ...... processing framework in python
@en
P2093
Christopher D Burns
Cindee Madison
Michael L Waskom
P2860
P356
10.3389/FNINF.2011.00013
P577
2011-08-22T00:00:00Z