Determination of changes in frequencies of EEG signal in eyes open / closed duration. - Ömer Türk; Mehmet Siraç Özerdem (SIU, 2015)

Classification of mental task EEG records using Hjorth parameters. - Ömer Türk; Mesut Seker; Veysi Akpolat; Mehmet Siraç Özerdem (SIU, 2017)

EEG işaretlerinden epilepsi türlerinin sınıflandırılmasında skalogram tabanlı derin öğrenme yaklaşımı (Scalogram based deep learning approach for classification of epilepsy types from EEG signals) - Ömer Türk (2019)

The convolutional neural network approach from electroencephalogram signals in emotional detection. - Ömer Türk; Mehmet Siraç Özerdem (Concurr. Comput. Pract. Exp., 2021)

Employing deep learning architectures for image-based automatic cataract diagnosis. - Emrullah Acar; Ömer Türk; Ömer Faruk Ertugrul; Erdogan Aldemir (Turkish J. Electr. Eng. Comput. Sci., 2021)

Classification of electroencephalogram records related to cursor movements with a hybrid method based on deep learning. - Ömer Türk (Int. J. Imaging Syst. Technol., 2021)

FPGA simulation of chaotic tent map-based S-Box design. - Ömer Türk (Int. J. Circuit Theory Appl., 2022)

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. - Reyhan Simsek Bagci; Emrullah Acar; Ömer Türk (Comput. Electron. Agric., 2023)

Palmprint recognition system based on deep region of interest features with the aid of hybrid approach. - Ömer Türk; Abidin Çaliskan; Emrullah Acar; Burhan Ergen (Signal Image Video Process., 2023)

Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture. - Ömer Türk; Erdogan Aldemir; Emrullah Acar; Ömer Faruk Ertugrul (Soft Comput., 2024)