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Makaleler

EGT-UNet: Evolutionary Game-Theoretic Adaptive Optimization for Pediatric Panoramic Tooth Segmentation

Sahin M. E., ULUTAŞ H., COŞAR H. İ., Bicer T., GÜNAY R. B., Buyuk S. K.
Bioengineering, cilt.13, sa.7, 2026 (SCI-Expanded, Scopus)

Beyond Accuracy: A Clinically-Oriented Breast Cancer Diagnostic Framework Integrating Conformal Prediction, Counterfactual Explanations, and Multi-Task Learning on FNA Cytological Features

GÜNGÖR ULUTAŞ E., YÜCE E., SÜZGEN E. E., ŞAHİN M. E., ÖZBAY KARAKUŞ M.
Firat University journal of experimental and computational engineering (Online), cilt.5, sa.2, ss.552-573, 2026 (TRDizin)

Explainable Ensemble Learning for Robust Severity Stratification of Carpal Tunnel Syndrome from Clinical Data

Sahin M. E., Ulutaş H., Korkmaz M., Ozbay Karakus M., Er O., Ünlüel H.
Diagnostics, cilt.16, sa.11, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

ARTEMIS: An Explainable AI Framework for Multi-Class COVID-19 Diagnosis with a Newly Curated Dataset

Sahin M. E., Ulutaş H., Erkoç M. F., Karakaya B., Günay R. B., Süzgen E. E.
Bioengineering, cilt.13, sa.5, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Efficient Cerebral Infarction Segmentation Using U-Net and U-Net3 + Models

Yüce E., Şahin M. E., Ulutaş H., Erkoç M. F.
Journal of Imaging Informatics in Medicine, cilt.39, sa.2, ss.1253-1264, 2026 (SCI-Expanded, Scopus)

Deep Learning-Based Classification of Vertical Dimension in Lateral Cephalometric Radiographs

AKDEMİR H., BÜYÜK S. K., ULUTAŞ H.
JOURNAL OF THE WORLD FEDERATION OF ORTHODONTISTS, cilt.14, sa.6, ss.567, 2025 (ESCI, Scopus)

Automated Lumbar Disc Intensity Classification From MRI Scans Using Region-Based CNNs and Transformer Models

ULUTAŞ H., ERKOÇ M. F., Ozbay E., ŞAHİN M. E., Karakus M. O., YÜCE E.
International Journal of Imaging Systems and Technology, cilt.35, sa.6, 2025 (SCI-Expanded, Scopus)

AI Models for Accurate Bacterial Pneumonia Diagnosis in Chest X-ray Images

Aydın C., Kızılkaya H., Şahin M. E., Ulutaş H.
Bozok Tıp Dergisi, cilt.15, sa.2, ss.169-177, 2025 (TRDizin)

Innovative Hybrid CNN+ SVM Model for Accurate Covid-19 Detection From CT Images

Ulutaş H., Coşar H. İ., Şahin M. E., Erkoç M. F., Yüce E.
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, cilt.13, sa.2, ss.868-892, 2025 (TRDizin)

Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization

Ulutaş H., Günay R. B., Şahin M. E.
Neural Computing and Applications, cilt.36, sa.29, ss.18313-18341, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Comparative analysis of machine learning algorithms for schizophrenia detection

Coşar H. İ., Şahin M. E.
Bozok Journal of Engineering and Architecture, cilt.3, sa.2, ss.33-41, 2024 (Hakemli Dergi) Sürdürülebilir Kalkınma

A deep learning-based U-Net 3+ technique for segmentation blood cell

Ulutaş H.
Turkish Journal of Science & Technology, cilt.19, sa.2, ss.485-495, 2024 (TRDizin)

Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods

Erkoç M. F., Ulutaş H., Şahin M. E.
International Journal of Imaging Systems and Technology, cilt.34, sa.5, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding

Demirkol A. S., Şahin M. E., Karakaya B., Ulutaş H., Ascoli A., Tetzlaff R.
Chaos, Solitons and Fractals, cilt.183, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Detection of OSA Through the Application of Deep Learning on Polysomnography Data

ULUTAŞ H., ARSLAN R. S., ŞAHİN M. E., COŞAR H. İ., ARISOY Ç., KÖKSAL A. S., et al.
Elektronika ir Elektrotechnika, cilt.30, sa.6, ss.29-36, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

End-to end decision support system for sleep apnea detection and Apnea-Hypopnea Index calculation using hybrid feature vector and Machine learning

ARSLAN R. S., ULUTAŞ H., KÖKSAL A. S., BAKIR M., Çiftçi B.
Biocybernetics and Biomedical Engineering, cilt.43, sa.4, ss.684-699, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Tree-Based Machine Learning Techniques for Automated Human Sleep Stage Classification

ARSLAN R. S., ULUTAŞ H., KÖKSAL A. S., BAKIR M., Çiftçi B.
Traitement du Signal, cilt.40, sa.4, ss.1385-1400, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems

Ulutaş H., Şahin M., Karakus M. O.
Alexandria Engineering Journal, cilt.74, ss.345-358, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images

ŞAHİN M., ULUTAŞ H., Yuce E., ERKOÇ M. F.
Neural Computing and Applications, cilt.35, sa.18, ss.13597-13611, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Sensitive deep learning application on sleep stage scoring by using all PSG data

ARSLAN R. S., ULUTAŞ H., KÖKSAL A. S., BAKIR M., Ciftci B.
NEURAL COMPUTING & APPLICATIONS, cilt.35, sa.10, ss.7495-7508, 2023 (SCI-Expanded, Scopus)

Image processing and machine learning‐based bone fracture detection and classification using X‐ray images

Şahin M. E.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, cilt.0, sa.0, ss.1-13, 2023 (SCI-Expanded, Scopus)

Deep learning-based approach for detecting COVID-19 in chest X-rays

Emin Sahin M. E.
Biomedical Signal Processing and Control, cilt.78, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

A deep learning-based technique for diagnosing retinal disease by using optical coherence tomography (OCT) images

ŞAHİN M. E.
Firat Universitesi, 2022 (TRDizin)

Automated sleep scoring system using multi-channel data and machine learning

Arslan R. S., Ulutaş H., Köksal A. S., Bakır M., Çiftci B.
COMPUTERS IN BIOLOGY AND MEDICINE, cilt.146, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

A deep learning approach for detecting pneumonia in chest X-rays

Şahin M. E., Ulutaş H., Yüce E.
Avrupa Bilim ve Teknoloji Dergisi, sa.28, ss.562-567, 2021 (TRDizin)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler

Classification of White Blood Cells Using Deep Learning Methods

Yüce E., Şahin M. E.
10. Uluslararası Akademik Araştırmalar Kongresi , Ankara, Türkiye, 27 Ocak 2023, ss.95, (Özet Bildiri)

Prediction of disease on embedded systems with machine learning algorithms

Varol A., Şahin M. E.
2nd International Conference on Applied Engineering and Natural Sciences, Konya, Türkiye, 15 - 18 Ekim 2022, cilt.1, sa.1, ss.1032-1037, (Tam Metin Bildiri)

QLoRA Fine-Tuning and Retrieval-Augmented Generation for Turkish Medical Question Answering: An Evaluation of Corpus Mismatch and Clinical Safety

SÜZGEN E. E., ŞAHİN M. E., BAKIR M., ARISOY Ç., GÜNGÖR ULUTAŞ E., GÜNAY R. B., et al.
2nd International Symposium on AI-Driven Engineering Systems, Mbale, Uganda, 19 Haziran 2026, (Tam Metin Bildiri)

Comparative Analysis Of Modern Deep Learning Architectures For Disease Classification In Retinal Oct Images

ULUTAŞ H., ŞAHİN M. E.
5. INTERNATIONAL GAZİANTEP SCIENTIFIC RESEARCH CONGRESS, Gaziantep, Türkiye, 27 - 28 Aralık 2025, ss.497-509, (Tam Metin Bildiri)

Comparative Analysis of Deep Learning Architectures for Atherosclerotic Plaque Segmentation in B-Mode Carotid Ultrasound

ULUTAŞ H., ŞAHİN M. E., ER O.
7th International Conference on Contemporary Academic Research, Konya, Türkiye, 25 - 26 Mart 2026, ss.109-120, (Tam Metin Bildiri)

CLASSIFICATION OF BRAIN TUMOR MRI IMAGES: A COMPARATIVE ANALYSIS OF DINOV2 AND CONVNEXTV2 ARCHITECTURES

ULUTAŞ H., ŞAHİN M. E.
13TH AZERBAIJAN CONGRESS ON LIFE, ENGINEERING,MATHEMATICAL, AND APPLIED SCIENCES CONGRESS, Baku, Azerbaycan, 21 - 22 Aralık 2025, ss.1638-1650, (Tam Metin Bildiri)

Machine Learning and Feature Selection Based Cardiovascular Disease Prediction

SÜZGEN E. E., GÜNGÖR ULUTAŞ E., ŞAHİN M.
3rd International Congress of Electrical and Computer Engineering, ICECENG 2024, Bandirma, Türkiye, 27 - 30 Kasım 2024, ss.223-236, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

OPG-DETBENCH: A CROSS-NATIONAL BENCHMARK FOR DENTAL RESTORATION DETECTION ON PANORAMIC RADIOGRAPHS USING YOLOv8

SÜZGEN E. E., ULUTAŞ H., ŞAHİN M. E.
9. BİLSEL INTERNATIONAL TRUVA SCIENTIFIC RESEARCH AND INNOVATION CONGRESS, Çanakkale, Türkiye, 23 - 24 Mayıs 2026, ss.282-297, (Tam Metin Bildiri)

Limited-Data Bone Fracture Classification: Supervised and Few-Shot Metric Learning

ULUTAŞ H., ŞAHİN M. E.
4TH INTERNATIONAL CONFERENCE ON PIONEER AND INNOVATIVE STUDIES ICPIS 2026, Konya, Türkiye, 18 - 19 Ocak 2026, ss.69-79, (Tam Metin Bildiri)

Automated Segmentation of Dental Structures in Panoramic Radiographs Using U-Net 3+

Şahin M. E., Ulutaş H., Süzgen E. E.
8th International Artificial Intelligence and Data Processing Symposium (IDAP’24), Malatya, Türkiye, 21 - 22 Eylül 2024, ss.1-7, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

A deep learning approach for detecting pneumonia in chest X-rays

ŞAHİN M. E., ULUTAŞ H., Yüce E.
1st International Conference on Applied Engineering and Natural Sciences, 1 - 03 Kasım 2021, ss.445, (Özet Bildiri)

Classification of Cerebral Infarction Using Convolutional Neural Networks

Yüce E., ŞAHİN M. E., ULUTAŞ H., ERKOÇ M. F.
2024 Innovations in Intelligent Systems and Applications Conference (ASYU), 16 - 18 Ekim 2024, (Tam Metin Bildiri)

Classification of White Blood Cells Using Deep Learning Methods

Şahin M. E., Yüce E.
10. Uluslararası Akademik Araştırmalar Kongresi , Ankara, Türkiye, 27 Ocak 2023, ss.95, (Özet Bildiri)

A Hybrid Vision Transformer and CNN Approach for Blood Cell Segmentation

Yüce E., Şahin M. E.
5th International Conference on Trends in Advanced Research ICTAR 2025, Konya, Türkiye, 16 - 17 Ekim 2025, ss.12-18, (Tam Metin Bildiri)