Integrating Features for Accelerometer-based Activity Recognition. - Çagatay Berke Erdas; Isil Atasoy; Koray Açici; Hasan Ogul (EUSPN/ICTH, 2016)

Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis. - Tunç Asuroglu; Koray Açici; Çagatay Berke Erdas; Hasan Ogul (SITIS, 2016)

A Random Forest Method to Detect Parkinson's Disease via Gait Analysis. - Koray Açici; Çagatay Berke Erdas; Tunç Asuroglu; Münire Kilinç Toprak; Hamit Erdem; Hasan Ogul (EANN, 2017)

HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors. - Koray Açici; Çagatay Berke Erdas; Tunç Asuroglu; Hasan Ogul (Data, 2018)

A Deep LSTM Approach for Activity Recognition. - Selda Güney; Çagatay Berke Erdas (TSP, 2019)

T4SS Effector Protein Prediction with Deep Learning. - Koray Açici; Tunç Asuroglu; Çagatay Berke Erdas; Hasan Ogul (Data, 2019)

Neurodegenerative disease detection and severity prediction using deep learning approaches. - Çagatay Berke Erdas; Emre Sümer; Seda Kibaroglu (Biomed. Signal Process. Control., 2021)

Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors. - Çagatay Berke Erdas; Selda Güney (Neural Process. Lett., 2021)

A Deep Learning Method to Detect Parkinson's Disease from MRI Slices. - Çagatay Berke Erdas; Emre Sümer (SN Comput. Sci., 2022)

Makine öğrenmesi teknikleri kullanılarak nörodejeneratif hastalık tespiti ve derecelendirmesi (Neurodegenerative disease detection and rating using machine learning techniques) - Çagatay Berke Erdas (2022)

A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction. - Çagatay Berke Erdas; Emre Sümer (PeerJ Comput. Sci., 2023)

Neurodegenerative diseases detection and grading using gait dynamics. - Çagatay Berke Erdas; Emre Sümer; Seda Kibaroglu (Multim. Tools Appl., 2023)

Enhancing Skin Disease Diagnosis Through Deep Learning: A Comprehensive Study on Dermoscopic Image Preprocessing and Classification. - Elif Nur Haner Kirgil; Çagatay Berke Erdas (Int. J. Imaging Syst. Technol., 2024)

Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification. - Çagatay Berke Erdas (PeerJ Comput. Sci., 2024)