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ORCIDÇagatay Berke Erdas
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2020 – today
- 2024
[j9]Elif Nur Haner Kirgil, Çagatay Berke Erdas
:
Enhancing Skin Disease Diagnosis Through Deep Learning: A Comprehensive Study on Dermoscopic Image Preprocessing and Classification. Int. J. Imaging Syst. Technol. 34(4) (2024)- [j8]Çagatay Berke Erdas:
Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification. PeerJ Comput. Sci. 10: e2071 (2024) - 2023
- [j7]Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu:
Neurodegenerative diseases detection and grading using gait dynamics. Multim. Tools Appl. 82(15): 22925-22942 (2023) - [j6]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: e1485 (2023) - 2022
- [b1]Çagatay Berke Erdas:
Makine öğrenmesi teknikleri kullanılarak nörodejeneratif hastalık tespiti ve derecelendirmesi (Neurodegenerative disease detection and rating using machine learning techniques). Başkent University, Turkey, 2022 - [j5]Çagatay Berke Erdas, Emre Sümer:
A Deep Learning Method to Detect Parkinson's Disease from MRI Slices. SN Comput. Sci. 3(2): 120 (2022) - 2021
- [j4]Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu:
Neurodegenerative disease detection and severity prediction using deep learning approaches. Biomed. Signal Process. Control. 70: 103069 (2021) - [j3]Çagatay Berke Erdas, Selda Güney:
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors. Neural Process. Lett. 53(3): 1795-1809 (2021)
2010 – 2019
- 2019
- [j2]Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul:
T4SS Effector Protein Prediction with Deep Learning. Data 4(1): 45 (2019) - [c4]Selda Güney, Çagatay Berke Erdas:
A Deep LSTM Approach for Activity Recognition. TSP 2019: 294-297 - 2018
- [j1]Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Hasan Ogul:
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors. Data 3(3): 24 (2018) - 2017
- [c3]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: 609-619 - 2016
- [c2]Çagatay Berke Erdas, Isil Atasoy, Koray Açici, Hasan Ogul:
Integrating Features for Accelerometer-based Activity Recognition. EUSPN/ICTH 2016: 522-527 - [c1]Tunç Asuroglu, Koray Açici, Çagatay Berke Erdas, Hasan Ogul:
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis. SITIS 2016: 135-138
Coauthor Index
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