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Amirali Vahid
Amirali Vahid
Postdoctoral Scholar Stanford
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Deep learning based on event-related EEG differentiates children with ADHD from healthy controls
A Vahid, A Bluschke, V Roessner, S Stober, C Beste
Journal of clinical medicine 8 (7), 1055, 2019
862019
Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control
A Vahid, M Mückschel, S Stober, AK Stock, C Beste
Communications biology 3 (1), 112, 2020
712020
Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses
A Vahid, M Mückschel, A Neuhaus, AK Stock, C Beste
Scientific reports 8 (1), 16235, 2018
382018
Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level
A Vahid, M Mückschel, S Stober, AK Stock, C Beste
Communications Biology 5 (1), 148, 2022
152022
Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records
P Mikolas, A Vahid, F Bernardoni, M Süß, J Martini, C Beste, A Bluschke
Scientific Reports 12 (1), 12934, 2022
132022
Human identification with EEG signals in different emotional states
A Vahid, E Arbabi
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016
122016
The intensity of early attentional processing, but not conflict monitoring, determines the size of subliminal response conflicts
W Bensmann, A Vahid, C Beste, AK Stock
Frontiers in human neuroscience 13, 53, 2019
112019
Classification of alzheimer's disease and mild cognitive impairment: Machine learning applied to rs-fMRI brain graphs
S Golbabaei, A Vahid, J Hatami, H Soltanian-Zadeh
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016
112016
On the neurophysiological mechanisms underlying the adaptability to varying cognitive control demands
N Zink, AK Stock, A Vahid, C Beste
Frontiers in Human Neuroscience 12, 411, 2018
92018
Recognizing subjects who are learned how to write with foot from unlearned subjects using EMG signals
J Alizadeh, A Vahid, F Bahrami
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st …, 2016
62016
A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic …
N Wolff, G Kohls, JT Mack, A Vahid, EM Elster, S Stroth, L Poustka, ...
Scientific Reports 12 (1), 18744, 2022
52022
Applying deep learning to single‑trial EEG data provides evidence for complementary theo‑ries on action control. Commun Biol 3: 112
A Vahid, M Mückschel, S Stober, AK Stock, C Beste
32020
On the relative importance of attention and response selection processes for multi-component behavior–Evidence from EEG-based deep learning
A Vahid, AK Stock, M Mückschel, C Beste
Neuroimage: Reports 2 (3), 100118, 2022
22022
Deep learning on independent spatial EEG activity patterns delineates time windows relevant for response inhibition
N Gholamipourbarogh, A Vahid, M Mückschel, C Beste
Psychophysiology 60 (10), e14328, 2023
2023
Using Machine Learning Approaches to Predict Controlled Behavior from EEG Data in Humans
A Vahid
Technische Universität Dresden, 2021
2021
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