Çagatay Berke Erdas

15 papers C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
EffiViT3+: deep learning-based segmentation of thyroid nodules using EfficientNet-B7 and vision transformer-based hybrid encoder.
PeerJ Comput. Sci.
Elifnur Erdemir Aytekin, Çagatay Berke Erdas
2024 J jnl
Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification.
PeerJ Comput. Sci.
Çagatay Berke Erdas
2024 J jnl
Enhancing Skin Disease Diagnosis Through Deep Learning: A Comprehensive Study on Dermoscopic Image Preprocessing and Classification.
Int. J. Imaging Syst. Technol.
Elif Nur Haner Kirgil, Çagatay Berke Erdas
2023 J jnl
A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction.
PeerJ Comput. Sci.
Çagatay Berke Erdas, Emre Sümer
2023 J jnl
Neurodegenerative diseases detection and grading using gait dynamics.
Multim. Tools Appl.
Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu
2022 J jnl
A Deep Learning Method to Detect Parkinson's Disease from MRI Slices.
SN Comput. Sci.
Çagatay Berke Erdas, Emre Sümer
2022 — —
Makine öğrenmesi teknikleri kullanılarak nörodejeneratif hastalık tespiti ve derecelendirmesi (Neurodegenerative disease detection and rating using machine learning techniques)
Çagatay Berke Erdas
2021 J jnl
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors.
Neural Process. Lett.
Çagatay Berke Erdas, Selda Güney
2021 J jnl
Neurodegenerative disease detection and severity prediction using deep learning approaches.
Biomed. Signal Process. Control.
Çagatay Berke Erdas, Emre Sümer, Seda Kibaroglu
2019 — conf
A Deep LSTM Approach for Activity Recognition.
TSP
Selda Güney, Çagatay Berke Erdas
2019 J jnl
T4SS Effector Protein Prediction with Deep Learning.
Data
Koray Açici, Tunç Asuroglu, Çagatay Berke Erdas, Hasan Ogul
2018 J jnl
HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors.
Data
Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Hasan Ogul
2017 C conf
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis.
EANN
Koray Açici, Çagatay Berke Erdas, Tunç Asuroglu, Münire Kilinç Toprak, Hamit Erdem, Hasan Ogul
2016 — conf
Integrating Features for Accelerometer-based Activity Recognition.
EUSPN/ICTH
Çagatay Berke Erdas, Isil Atasoy, Koray Açici, Hasan Ogul
2016 — conf
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis.
SITIS
Tunç Asuroglu, Koray Açici, Çagatay Berke Erdas, Hasan Ogul