(Q34075185)

30 July 2017

title

A highly parallelized framework for computationally intensive MR data analysis (English)

1 reference

30 July 2017

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7

Siegfried Kasper

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Christian Windischberger

8

Christian Windischberger

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Roland N Boubela

Roland N Boubela

1

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Ronald Sladky

Ronald Sladky

4

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Klaudius Kalcher

Klaudius Kalcher

3

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Lukas Pezawas

Lukas Pezawas

6

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Ewald Moser

Ewald Moser

9

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author name string

Wolfgang Huf

2

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30 July 2017

Peter Filzmoser

5

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30 July 2017

publication date

16 November 2011

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Magnetic Resonance Materials in Physics, Biology and Medicine

30 July 2017

published in

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30 July 2017

volume

25

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30 July 2017

issue

4

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30 July 2017

page(s)

313-320

1 reference

https://scigraph.springernature.com/pub.10.1007/s10334-011-0290-7

30 July 2017

exact match

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cites work

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Gender differences in brain functional connectivity density

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Weight-conserving characterization of complex functional brain networks

21 January 2018

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Functional connectivity density mapping

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21 January 2018

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Consistent resting-state networks across healthy subjects

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The human brain is intrinsically organized into dynamic, anticorrelated functional networks

21 January 2018

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A resting state network in the motor control circuit of the basal ganglia

21 January 2018

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Fully exploratory network ICA (FENICA) on resting-state fMRI data.

21 January 2018

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A Bayesian multilevel model for fMRI data analysis

21 January 2018

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21 January 2018

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21 January 2018

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Meta-analysis: fact or fiction? How to interpret meta-analyses

21 January 2018

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Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity

21 January 2018

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In vivo MR imaging of brain networks: illusion or revolution?

21 January 2018

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Estimation of metabolite concentrations from localized in vivo proton NMR spectra

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22086306

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1007/S10334-011-0290-7

1 reference

30 July 2017

1 reference