Makaram, N.; Gupta, S.; Pesce, M.; Bolton, J.; Stone, S.; Haehn, D.; Pomplun, M.; Papadelis, C.; Pearl, P.; Rotenberg, A.;
et al. Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? Algorithms 2023, 16, 567.
https://doi.org/10.3390/a16120567
AMA Style
Makaram N, Gupta S, Pesce M, Bolton J, Stone S, Haehn D, Pomplun M, Papadelis C, Pearl P, Rotenberg A,
et al. Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? Algorithms. 2023; 16(12):567.
https://doi.org/10.3390/a16120567
Chicago/Turabian Style
Makaram, Navaneethakrishna, Sarvagya Gupta, Matthew Pesce, Jeffrey Bolton, Scellig Stone, Daniel Haehn, Marc Pomplun, Christos Papadelis, Phillip Pearl, Alexander Rotenberg,
and et al. 2023. "Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?" Algorithms 16, no. 12: 567.
https://doi.org/10.3390/a16120567
APA Style
Makaram, N., Gupta, S., Pesce, M., Bolton, J., Stone, S., Haehn, D., Pomplun, M., Papadelis, C., Pearl, P., Rotenberg, A., Grant, P. E., & Tamilia, E.
(2023). Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? Algorithms, 16(12), 567.
https://doi.org/10.3390/a16120567
