Mariam Khayretdinova - JoVE Visualize

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Frontiers in Aging Neuroscience|December 23, 2022

Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain datasetMariam Khayretdinova, Alexey Shovkun, Vladislav Degtyarev, et al.

Neuroinformatics|May 19, 2025

Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent DatasetsMariam Khayretdinova, Polina Pshonkovskaya, Ilya Zakharov, et al.

Neuroimage|December 13, 2023

Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML modelMariam Khayretdinova, Ilya Zakharov, Polina Pshonkovskaya, et al.

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Showing results (1-10 of 3) with videos related to

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Frontiers in Aging Neuroscience|December 23, 2022

Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain datasetMariam Khayretdinova, Alexey Shovkun, Vladislav Degtyarev, et al.

Neuroinformatics|May 19, 2025

Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent DatasetsMariam Khayretdinova, Polina Pshonkovskaya, Ilya Zakharov, et al.

Neuroimage|December 13, 2023

Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML modelMariam Khayretdinova, Ilya Zakharov, Polina Pshonkovskaya, et al.

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