Publications

Articles

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, vol.16, no.11, pp.1-37, 2026 (SCI-Expanded, Scopus) Sustainable Development

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, vol.13, no.5, pp.1-33, 2026 (SCI-Expanded, Scopus) Sustainable Development

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, vol.39, no.2, pp.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, vol.14, no.6, pp.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, vol.35, no.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, vol.15, no.2, pp.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, vol.13, no.2, pp.868-892, 2025 (TRDizin)

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

Ulutaş H.

Turkish Journal of Science & Technology, vol.19, no.2, pp.485-495, 2024 (TRDizin)

Comparative analysis of machine learning algorithms for schizophrenia detection

Coşar H. İ., Şahin M. E.

Bozok Journal of Engineering and Architecture, vol.3, no.2, pp.33-41, 2024 (Peer-Reviewed Journal) Sustainable Development

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, vol.36, no.29, pp.18313-18341, 2024 (SCI-Expanded, Scopus) Sustainable Development

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, vol.34, no.5, 2024 (SCI-Expanded, Scopus) Sustainable Development

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, vol.183, 2024 (SCI-Expanded, Scopus) Sustainable Development

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, vol.30, no.6, pp.29-36, 2024 (SCI-Expanded, Scopus) Sustainable Development

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, vol.43, no.4, pp.684-699, 2023 (SCI-Expanded, Scopus) Sustainable Development

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, vol.40, no.4, pp.1385-1400, 2023 (SCI-Expanded, Scopus) Sustainable Development

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, vol.74, pp.345-358, 2023 (SCI-Expanded, Scopus) Sustainable Development

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, vol.35, no.18, pp.13597-13611, 2023 (SCI-Expanded, Scopus) Sustainable Development

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, vol.35, no.10, pp.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, vol.0, no.0, pp.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, vol.78, 2022 (SCI-Expanded, Scopus) Sustainable Development

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, vol.146, 2022 (SCI-Expanded, Scopus) Sustainable Development

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

Şahin M. E., Ulutaş H., Yüce E.

Avrupa Bilim ve Teknoloji Dergisi, no.28, pp.562-567, 2021 (TRDizin)

Publications

Articles

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

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

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

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

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

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

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

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

Comparative analysis of machine learning algorithms for schizophrenia detection

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Papers Published in Refereed Scientific Meetings

Classification of White Blood Cells Using Deep Learning Methods

Prediction of disease on embedded systems with machine learning algorithms

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

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

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

Machine Learning and Feature Selection Based Cardiovascular Disease Prediction

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

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

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

Classification of Cerebral Infarction Using Convolutional Neural Networks

Classification of White Blood Cells Using Deep Learning Methods

A Hybrid Vision Transformer and CNN Approach for Blood Cell Segmentation