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The effect of head motion on brain age prediction using deep convolutional neural networks

NeuroImage (Orlando, Fla.), 2024-07, Vol.294, p.120646-120646, Article 120646

2024

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The influence of anticipated monetary incentives on visual working memory performance in healthy younger and older adults

Scientific reports, 2020-06, Vol.10 (1), p.8817-8817, Article 8817

2020

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Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation

Scientific reports, 2022-01, Vol.12 (1), p.1618-13, Article 1618

2022

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Investigation of the Relationship between Visual Feature Binding in Short- and Long-Term Memory in Healthy Aging

Learning & memory (Cold Spring Harbor, N.Y.), 2021-04, Vol.28 (4), p.109-113

2021

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Movement-related artefacts (MR-ART) dataset of matched motion-corrupted and clean structural MRI brain scans

Scientific data, 2022-10, Vol.9 (1), p.630-6, Article 630

2022

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Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics

Medical image analysis, 2023-08, Vol.88, p.102850-102850, Article 102850

2023

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Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network

Frontiers in neuroinformatics, 2020-03, Vol.14, p.10-10

2020

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The background of reduced face specificity of N170 in congenital prosopagnosia

PloS one, 2014-07, Vol.9 (7), p.e101393-e101393

2014

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Amygdala Volume is Associated with ADHD Risk and Severity Beyond Comorbidities in Adolescents: Clinical Testing of Brain Chart Reference Standards

Journal of abnormal child psychology, 2024-07, Vol.52 (7), p.1063-1074

2024

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Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks

Gigascience, 2018-12, Vol.7 (12)

2018

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The electrophysiological correlates of integrated face and body-part perception

Quarterly journal of experimental psychology (2006), 2017-01, Vol.70 (1), p.142-153

2017

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The face evoked steady-state visual potentials are sensitive to the orientation, viewpoint, expression and configuration of the stimuli

International journal of psychophysiology, 2014-12, Vol.94 (3), p.336-350

2014

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Study protocol of the Hungarian Longitudinal Study of Healthy Brain Aging (HuBA)

Ideggyógyászati szemle, 2024-01, Vol.77 (1-2), p.51-59

2024

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Face distortion aftereffects evoked by featureless first-order stimulus configurations

Frontiers in psychology, 2012-01, Vol.3, p.566-566

2012

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Altering second-order configurations reduces the adaptation effects on early face-sensitive event-related potential components

Frontiers in human neuroscience, 2014-06, Vol.8, p.426-426

2014

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Phase noise reveals early category-specific modulation of the event-related potentials

Frontiers in psychology, 2014-04, Vol.5, p.367-367

2014

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Neural Correlates of Configural Processing in Person Perception

Vakli, Pál

2016

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ALTERED BOLD RESPONSE WITHIN THE CORE FACE-PROCESSING NETWORK IN CONGENITAL PROSOPAGNOSIA

Ideggyógyászati szemle, 2015-05, Vol.68 (5-6), p.199-215

2015

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The effect of head motion on brain age prediction using deep convolutional neural networks

The influence of anticipated monetary incentives on visual working memory performance in healthy younger and older adults

Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation

Investigation of the Relationship between Visual Feature Binding in Short- and Long-Term Memory in Healthy Aging

Movement-related artefacts (MR-ART) dataset of matched motion-corrupted and clean structural MRI brain scans

Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics

Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network

The background of reduced face specificity of N170 in congenital prosopagnosia

Amygdala Volume is Associated with ADHD Risk and Severity Beyond Comorbidities in Adolescents: Clinical Testing of Brain Chart Reference Standards

Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks

The electrophysiological correlates of integrated face and body-part perception

The face evoked steady-state visual potentials are sensitive to the orientation, viewpoint, expression and configuration of the stimuli

Study protocol of the Hungarian Longitudinal Study of Healthy Brain Aging (HuBA)

Face distortion aftereffects evoked by featureless first-order stimulus configurations

Altering second-order configurations reduces the adaptation effects on early face-sensitive event-related potential components

Phase noise reveals early category-specific modulation of the event-related potentials

Neural Correlates of Configural Processing in Person Perception

ALTERED BOLD RESPONSE WITHIN THE CORE FACE-PROCESSING NETWORK IN CONGENITAL PROSOPAGNOSIA

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