The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder

Elena N. Pitsik; Vladimir A. Maximenko; Semen A. Kurkin; Alexander P. Sergeev; Drozdstoy Stoyanov; Rositsa Paunova; Sevdalina Kandilarova; Denitsa Simeonova; Alexander E. Hramov

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Източник: Chaos, Solitons and Fractals; Chaos, Solitons and Fractals

Системен №: 16953

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APA Chicago / Turabian (16th edition) Harvard MLA (7th edition)

Pitsik, E., Maximenko, V., Kurkin, S., Sergeev, A., Stoyanov, D., Paunova, R., Kandilarova, S., Simeonova, D., Hramov, A. The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder, , .

Pitsik, E., Maximenko, V., Kurkin, S., Sergeev, A., Stoyanov, D., Paunova, R., Kandilarova, S., Simeonova, D., Hramov, A. . The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder. : , .

Pitsik, E., Maximenko, V., Kurkin, S., Sergeev, A., Stoyanov, D., Paunova, R., Kandilarova, S., Simeonova, D., Hramov, A. () The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder, :

Pitsik, E., Maximenko, V., Kurkin, S., Sergeev, A., Stoyanov, D., Paunova, R., Kandilarova, S., Simeonova, D., & Hramov, A. (). The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder. Chaos, Solitons and Fractals; Chaos, Solitons and Fractals.

The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder

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