Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
about
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.Reducing task-based fMRI scanning time using simultaneous multislice echo planar imaging.Prominent Changes in Cerebro-Cerebellar Functional Connectivity During Continuous Cognitive Processing
P2860
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 17 February 2017
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@en
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@nl
type
label
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@en
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@nl
prefLabel
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@en
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@nl
P2093
P2860
P356
P1476
Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping.
@en
P2093
Petra Hermann
Regina J Meszlényi
Viktor Gál
Zoltán Vidnyánszky
P2860
P356
10.3389/FNINS.2017.00075
P577
2017-02-17T00:00:00Z