| A class activation map-based interpretable transfer learning model for automated detection of ADHD from fMRI data C Uyulan, TT Erguzel, O Turk, S Farhad, B Metin, N Tarhan Clinical EEG and Neuroscience 54 (2), 151-159, 2023 | 15 | 2023 |
| The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data B Metin, Ç Uyulan, TT Ergüzel, S Farhad, E Çiftçi, Ö Türk, N Tarhan Clinical EEG and Neuroscience, 15500594221137234, 2022 | 12 | 2022 |
| Deep learning-based artificial intelligence can differentiate treatment-resistant and responsive depression cases with high accuracy SZ Metin, Ç Uyulan, S Farhad, TT Ergüzel, Ö Türk, B Metin, Ö Çerezci, ... Clinical EEG and Neuroscience, 15500594241273181, 2024 | 1 | 2024 |
| Task-based modulation of functional connectivity of dorsal attention network in adult-ADHD B Metin, SD Kayaalp, S Farhad, E Ciftci, BG Er, N Tarhan Neuroscience Letters 842, 137998, 2024 | | 2024 |
| Neurocognition across bipolar disorder phases compared to healthy subjects E Ciftci, S Farhad, B Metin, N Tarhan Cognitive Neuropsychiatry, 1-14, 2024 | | 2024 |
| Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data S Farhad, SZ Metin, Ç Uyulan, STZ Makouei, B Metin, TT Ergüzel, ... Clinical EEG and Neuroscience, 15500594231222980, 2024 | | 2024 |
| Combined use of gray matter volume and neuropsychological test performance for classification of individuals with bipolar I disorder via artificial neural network method B Metin, S Farhad, T Erguzel, E Çiftçi, N Tarhan Journal of Neural Transmission 130 (7), 967-974, 2023 | | 2023 |
