| Epilepsy detection by using scalogram based convolutional neural network from EEG signals Ö Türk, MS Özerdem Brain sciences 9 (5), 115, 2019 | 212 | 2019 |
| Classification of mental task EEG records using Hjorth parameters Ö Türk, M Şeker, V Akpolat, MS Özerdem 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | 27 | 2017 |
| Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images O Turk, D Ozhan, E Acar, TC Akinci, M Yilmaz Zeitschrift für Medizinische Physik 34 (2), 278-290, 2024 | 20 | 2024 |
| 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 | 16 | 2023 |
| Employing deep learning architectures for image-based automatic cataract diagnosis. E Acar, Ö Türk, ÖF Ertugrul, E Aldemir Turkish J. Electr. Eng. Comput. Sci. 29 (SI-1), 2649-2662, 2021 | 16 | 2021 |
| 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 Çifçi, Ö Türk, N Tarhan Clinical EEG and neuroscience 55 (2), 167-175, 2024 | 14 | 2024 |
| FPGA simulation of chaotic tent map‐based S‐Box design Ö Türk International Journal of Circuit Theory and Applications 50 (5), 1589-1603, 2022 | 11 | 2022 |
| The convolutional neural network approach from electroencephalogram signals in emotional detection Ö Türk, MS Özerdem Concurrency and Computation: Practice and Experience 33 (20), e6356, 2021 | 10 | 2021 |
| Palmprint recognition system based on deep region of interest features with the aid of hybrid approach Ö Türk, A Çalışkan, E Acar, B Ergen Signal, Image and Video Processing 17 (7), 3837-3845, 2023 | 8 | 2023 |
| Identification of cotton and corn plant areas by employing deep transformer encoder approach and different time series satellite images: A case study in Diyarbakir, Turkey RŞ Bağcı, E Acar, Ö Türk Computers and Electronics in Agriculture 209, 107838, 2023 | 8 | 2023 |
| How advantageous is it to use computed tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without … M Ayral, Ö Türk, Ş Can, D Esen, İ Topçu, F Akil, H Temiz European Review for Medical and Pharmacological Sciences, 2023 | 8 | 2023 |
| Gözler açık/kapalı durumunda EEG bantlarındaki frekans değişiminin Güç Spektral Yoğunluğu ile belirlenmesi Ö Türk, MS Özerdem, N Akpolat Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 6 (2), 131-138, 2015 | 7* | 2015 |
| Epileptik EEG sinyallerinin sınıflandırılması için bir boyutlu medyan yerel ikili örüntü temelli öznitelik çıkarımı Ö Türk, MS Özerdem Gazi University Journal of Science Part C: Design and Technology 5 (3), 97-107, 2017 | 5 | 2017 |
| ARM işlemciler ile tek kullanımlık şifre uygulamasının gerçekleştirilmesi Ö Türk Fen Bilimleri Enstitüsü, 2011 | 4 | 2011 |
| 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 | 3 | 2024 |
| Compare the classification performances of convolutional neural networks and capsule networks on the Coswara dataset A Muhammad, MA Arserim, Ö Türk Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 14 (2), 265-271, 2023 | 3 | 2023 |
| Classification of electroencephalogram records related to cursor movements with a hybrid method based on deep learning Ö Türk International Journal of Imaging Systems and Technology 31 (4), 2322-2333, 2021 | 3 | 2021 |
| Mental activity detection from EEG records using local binary pattern method O Turk, MS Ozerdem International Artificial Intelligence and Data Processing Symposium (IDAP), 1-4, 2017 | 3 | 2017 |
| Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture Ö Türk, E Aldemir, E Acar, ÖF Ertuğrul Soft Computing 28 (9), 6607-6617, 2024 | 2 | 2024 |
| Can deep learning replace histopathological examinations in the differential diagnosis of cervical lymphadenopathy? S Can, Ö Türk, M Ayral, G Kozan, H Arı, M Akdağ, MY Baylan European Archives of Oto-Rhino-Laryngology 281 (1), 359-367, 2024 | 2 | 2024 |