Çagatay Berke Erdas

According to our database, Çagatay Berke Erdas authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification.

Çagatay Berke Erdas

PeerJ Comput. Sci., 2024

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

2023

Neurodegenerative diseases detection and grading using gait dynamics.

Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu

Multim. Tools Appl., June, 2023

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

2022

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

Çagatay Berke Erdas

PhD thesis, 2022

A Deep Learning Method to Detect Parkinson's Disease from MRI Slices.

Çagatay Berke Erdas, Emre Sümer

SN Comput. Sci., 2022

2021

Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors.

Çagatay Berke Erdas, Selda Güney

Neural Process. Lett., 2021

Neurodegenerative disease detection and severity prediction using deep learning approaches.

Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu

Biomed. Signal Process. Control., 2021

2019

T4SS Effector Protein Prediction with Deep Learning.

Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul

Data, 2019

A Deep LSTM Approach for Activity Recognition.

Selda Güney, Çagatay Berke Erdas

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

2018

HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors.

Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Hasan Ogul

Data, 2018

2017

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

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis.

Tunç Asuroglu, Koray Açici, Çagatay Berke Erdas, Hasan Ogul

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Integrating Features for Accelerometer-based Activity Recognition.

Çagatay Berke Erdas, Isil Atasoy, Koray Açici, Hasan Ogul

Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016