Öğr. Gör. Dr. KUBİLAY AYTURAN

Yayın Ağı

Makaleler 10

1. Liver Tumor Segmentation with Deep Learning: A Comparative Analysis of CNN-, Transformer-, and YOLO-Based Models on the ATLAS MRI

Karabağ B., AYTURAN K., HARDALAÇ F.

Diagnostics , cilt.16, sa.5, 2026 (SCI-Expanded, Scopus)

2. A Comparative Analysis of the Mamba, Transformer, and CNN Architectures for Multi-Label Chest X-Ray Anomaly Detection in the NIH ChestX-Ray14 Dataset

Yanar E., Kutan F., AYTURAN K., KUTBAY U., ALGIN O., HARDALAÇ F., et al.

Diagnostics , cilt.15, sa.17, 2025 (SCI-Expanded, Scopus)

3. CELM: An Ensemble Deep Learning Model for Early Cardiomegaly Diagnosis in Chest Radiography

Yanar E., HARDALAÇ F., AYTURAN K.

Diagnostics , cilt.15, sa.13, 2025 (SCI-Expanded, Scopus)

4. PELM: A Deep Learning Model for Early Detection of Pneumonia in Chest Radiography

Yanar E., HARDALAÇ F., AYTURAN K.

Applied Sciences (Switzerland) , cilt.15, sa.12, 2025 (SCI-Expanded, Scopus)

5. SPHERE: Benchmarking YOLO vs. CNN on a Novel Dataset for High-Accuracy Solar Panel Defect Detection in Renewable Energy Systems

Ayturan K., Sarıkamış B., Akşahin M. F., Kutbay U.

APPLIED SCIENCES-BASEL , cilt.15, sa.9, 2025 (SCI-Expanded, Scopus)

6. Investigation of Multi-Output Single-Switch Forward Converter in Terms of Cross-Regulation Using Weighted Control Method

DİNDAR S., HARDALAÇ F., AKSOY E., AYTURAN K.

Applied Sciences (Switzerland) , cilt.15, sa.1, 2025 (SCI-Expanded, Scopus)

7. A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization

HARDALAÇ F., Akmal H., AYTURAN K., Acharya U. R., Tan R.

INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES , cilt.16, sa.4, ss.882-906, 2024 (SCI-Expanded, Scopus)

8. PyCaret for Predicting Type 2 Diabetes: A Phenotype- and Gender-Based Approach with the “Nurses’ Health Study” and the “Health Professionals’ Follow-Up Study” Datasets

Gul S., AYTURAN K., HARDALAÇ F.

Journal of Personalized Medicine , cilt.14, sa.8, 2024 (SCI-Expanded, Scopus)

9. A Fetal Well-Being Diagnostic Method Based on Cardiotocographic Morphological Pattern Utilizing Autoencoder and Recursive Feature Elimination

Akmal H., HARDALAÇ F., AYTURAN K.

Diagnostics , cilt.13, sa.11, 2023 (SCI-Expanded, Scopus)

10. Classification of neonatal jaundice in mobile application with noninvasive image processing methods

Hardalaç F., Aydın M., Kutbay U., Ayturan K., Akyel A., Caglar A., et al.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.29, sa.4, ss.2116-2126, 2021 (SCI-Expanded, Scopus, TRDizin) Sürdürülebilir Kalkınma

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 5

1. MANN-BiLSTM: A Memory-Augmented Neural Network for Multi-Class Bearing Fault Detection

Kırdar A., HARDALAÇ F., AYTURAN K.

https://ieeexplore.ieee.org/xpl/conhome/11206581/proceeding, İstanbul, Türkiye, 17 Eylül 2025, (Tam Metin Bildiri)

2. A Comparative Analysis of IR-VIS Image Fusion Methods: Object Detection with YOLO Architectures and Fusion Quality Evaluation

Çeli˙k B., Gi˙den İ. H., AYTURAN K., HARDALAÇ F.

14th International Conference on Image Processing, Theory, Tools and Applications, IPTA 2025, İstanbul, Türkiye, 13 - 16 Ekim 2025, (Tam Metin Bildiri)