Transactions on Neural Systems and Rehabilitation Engineering
Featured Articles
simBCI – A framework for studying BCI methods by simulated EEG
Brain-Computer Interface (BCI) methods are commonly studied using Electroencephalogram (EEG) data recorded from human experiments. For understanding and developing BCI signal processing techniques real data is costly to obtain and its composition is apriori unknown. The brain mechanisms generating the...
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Posted on 19 NOV 2018
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Learning-Based Quality Control for Cardiac MR Images
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O`Regan, Stuart Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac and respiratory...
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Posted on 1 NOV 2018
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FPGA Implementation of the Coupled Filtering Method and the Affine Warping Method
In ultrasound image analysis, the speckle tracking methods are widely applied to study the elasticity of body tissue. However, “feature-motion decorrelation” still remains as a challenge for the speckle tracking methods. Recently, a coupled filtering method and an affine warping...
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Posted on 17 AUG 2017