Çagatay Berke Erdas

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Top Venues

PeerJ Comput. Sci.

Biomed. Signal Process. Control.

Publications

Çagatay Berke Erdas
Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification. PeerJ Comput. Sci. 10 (2024)
Çagatay Berke Erdas, Emre Sümer
A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction. PeerJ Comput. Sci. 9 (2023)
Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu
Neurodegenerative diseases detection and grading using gait dynamics. Multim. Tools Appl. 82 (15) (2023)
Çagatay Berke Erdas, Emre Sümer
A Deep Learning Method to Detect Parkinson's Disease from MRI Slices. SN Comput. Sci. 3 (2) (2022)
Çagatay Berke Erdas, Selda Güney
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors. Neural Process. Lett. 53 (3) (2021)
Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu
Neurodegenerative disease detection and severity prediction using deep learning approaches. Biomed. Signal Process. Control. 70 (2021)
Selda Güney, Çagatay Berke Erdas
A Deep LSTM Approach for Activity Recognition. TSP (2019)
Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul
T4SS Effector Protein Prediction with Deep Learning. Data 4 (1) (2019)
Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Hasan Ogul
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors. Data 3 (3) (2018)
Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Münire Kilinç Toprak, Hamit Erdem, Hasan Ogul
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis. EANN (2017)
Çagatay Berke Erdas, Isil Atasoy, Koray Açici, Hasan Ogul
Integrating Features for Accelerometer-based Activity Recognition. EUSPN/ICTH (2016)
Tunç Asuroglu, Koray Açici, Çagatay Berke Erdas, Hasan Ogul
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis. SITIS (2016)