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Elahe Yargholi
Elahe Yargholi
Brain & Cognition, University of Leuven (KU Leuven)
在 kuleuven.be 的电子邮件经过验证
标题
引用次数
引用次数
年份
Reconstruction of digit images from human brain fMRI activity through connectivity informed Bayesian networks
E Yargholi, GA Hossein-Zadeh
Journal of neuroscience methods 257, 159-167, 2016
212016
Brain decoding-classification of hand written digits from fMRI data employing bayesian networks
E Yargholi, GA Hossein-Zadeh
Frontiers in human neuroscience 10, 351, 2016
202016
Category trumps shape as an organizational principle of object space in the human occipitotemporal cortex
E Yargholi, HO de Beeck
Journal of Neuroscience, 2023
162023
Chaos–chaos transition of left hemisphere EEGs during standard tasks of Waterloo-Stanford Group Scale of hypnotic susceptibility
E Yargholi, AM Nasrabadi
Journal of Medical Engineering & Technology 39 (5), 281-285, 2015
92015
The impacts of hypnotic susceptibility on chaotic dynamics of EEG signals during standard tasks of Waterloo-Stanford Group Scale
E Yargholi, AM Nasrabadi
Journal of Medical Engineering & Technology 37 (4), 273-281, 2013
92013
Recurrence quantification analysis of electroencephalograph signals during standard tasks of Waterloo-Stanford group scale of hypnotic susceptibility
E Yargholi, AM Nasrabadi
Journal of Medical Engineering & Technology 39 (1), 26-34, 2015
82015
From brain decoding to brain-driven computer vision
H Rahmani, SM Taheri, E Yargholi
2020 International Conference on Machine Vision and Image Processing (MVIP), 1-3, 2020
72020
Two distinct networks containing position-tolerant representations of actions in the human brain
E Yargholi, GA Hossein-Zadeh, M Vaziri-Pashkam
Cerebral Cortex, 2022
62022
Chaotic features analysis of EEG signals during hallucination tasks of waterloo-stanford standard
E Yargholi, AM Nasrabadi
journal of biomedical science and engineering 3 (12), 1175, 2010
52010
Cross recurrence quantifiers as new connectivity measures for structure learning of Bayesian networks in brain decoding
E Yargholi, GA Hossein-Zadeh
Chaos, Solitons & Fractals 123, 263-274, 2019
32019
Predicting Blood Oxygenation Level-Dependent Activity in Fusiform Face Area from the Activity in Other Visual Areas
E Yargholi, GA Hossein-Zadeh, R Rajimehr
Brain Connectivity 9 (4), 329-340, 2019
32019
Novel Cardiac Risk Factor Stratification Using Neuro-fuzzy Tool
E Yargholi, S Parvaneh
Computational Intelligence for Modelling Control & Automation, IEEE 2008 …, 2008
22008
Novel Cardiac Risk Factor Stratification Using Neuro-fuzzy Tool
E Yargholi, S Parvaneh
Computational Intelligence for Modelling Control & Automation, IEEE 2008 …, 2008
22008
FindingEmo: An Image Dataset for Emotion Recognition in the Wild
L Mertens, E Yargholi, HO de Beeck, JV Stock, J Vennekens
arXiv preprint arXiv:2402.01355, 2024
12024
Impact of chronic intranasal oxytocin administration on face expression processing in autistic children: a randomized controlled trial using fMRI
M Moerkerke, N Daniels, S Van der Donck, T Tang, J Prinsen, E Yargholi, ...
Molecular Autism 15 (1), 1-15, 2024
2024
Artificiële neurale netwerken als psychiatrisch instrument
L Mertens, J Vennekens, HO de Beeck, E Yargholi, J Van den Stock
Tijdschrift voor Psychiatrie, 646-650, 2023
2023
Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures
L Mertens, E Yargholi, J Van den Stock, H Op de Beeck, J Vennekens
International Conference on Artificial Neural Networks, 491-503, 2023
2023
Psychiatrische toepassingsmogelijkheden van Artificiële Neurale Netwerken
L Mertens, J Vennekens, H Op de Beeck, E Yargholi, J Van den Stock
Tijdschrift voor Psychiatrie, 2023
2023
Object space in human occipitotemporal cortex: category trumps shape
E Yargholi, HO de Beeck
https://www.youtube.com/watch?v=OzILyGzJlQg, 2022
2022
Functional organization of face-responsive regions in lateral prefrontal cortex
M Izadkhah, A Borzabadi-Farahani, E Yargholi, GA Hossein-Zadeh, ...
Organization of Human Brain Mapping (OHBM), 2022
2022
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