PUBLICATIONS:
Metin B, Uyulan Ç, Ergüzel TT, Farhad S, Çifçi E, Türk Ö, Tarhan N. The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data. Clin EEG Neurosci. 2024 Mar;55(2):167-175. doi: 10.1177/15500594221137234.
Farhad S, Metin SZ, Uyulan Ç, Makouei STZ, Metin B, Ergüzel TT, Tarhan N. Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data. Clin EEG Neurosci. 2024 Jan 9:15500594231222980. doi: 10.1177/15500594231222980.
Metin, B., Farhad, S., Erguzel, T. et al. Combined use of gray matter volume and neuropsychological test performance for classification of individuals with bipolar I disorder via artificial neural network method. J Neural Transm 130, 967–974 (2023). https://doi.org/10.1007/s00702-023-02649-y
Uyulan C, Erguzel TT, Turk O, Farhad S, Metin B, Tarhan N. A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data. Clinical EEG and Neuroscience. 2023;54(2):151-159. doi:10.1177/15500594221122699.
Sağıroğlu, A., Karagöz, İ., Özcan, Ö. Ö., Ergüzel, T. T., Karahan, M., & Tarhan, N. (2023). Evaluation of the glioblastoma multiforme treatment with hyperthermia using the finite element method. Numerical Heat Transfer, Part A: Applications, 83(11), 1239–1260. https://doi.org/10.1080/10407782.2022.2102404.
Catak, Muammer and Pektaş, Burhan. "Identification of a harmonically varying external source in wave equation from Neumann-type boundary measurement" Journal of Inverse and Ill-posed Problems, vol. 28, no. 6, 2020, pp. 815-828. https://doi.org/10.1515/jiip-2019-0100.
Danbatta, S.J., Muhammad, A., Varol, A. et al. Forecasting monthly rainfall using hybrid time-series models and Monte Carlo simulation amidst security challenges: a case study of five districts from northern Nigeria. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-04516-6.
Muhammad, A., Danbatta, S.J., Muhammad, I.Y. et al. Exploring soil radon (Rn) concentrations and their connection to geological and meteorological factors. Environ Sci Pollut Res 31, 565–578 (2024). https://doi.org/10.1007/s11356-023-31237-6.
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