Asst. Prof. Dr. Ramazan Özgür Doğan

Department of Artificial Intelligence Engineering

Faculty of Computer and Information Sciences

Trabzon University, Türkiye

Asst. Prof. Dr. Ramazan Özgür Doğan is a faculty member in the Department of Artificial Intelligence Engineering at Trabzon University. His research focuses on deep learning, biomedical image and signal processing, and AI-powered applications in pharmacology and drug interaction prediction.

He received his Ph.D. in Computer Engineering (Karadeniz Technical University) and has held academic positions in both Türkiye and the United States, including research visits at The Ohio State University and Youngstown State University. He actively contributes to interdisciplinary research combining computer vision, natural language processing, and clinical datasets in medical domains.

Dr. Doğan has authored peer-reviewed journal articles and conference papers, and he regularly serves as a reviewer for international journals and funding programs. His current work explores multimodal learning, medical foundation models, and interpretable AI in healthcare.

When not conducting research, he enjoys mentoring students, designing machine learning models, and exploring the intersection of AI and human health.

selected publications

Research Article

A two-phase approach using mask R-CNN and 3D U-Net for high-accuracy automatic segmentation of pancreas in CT imaging

Ramazan Ozgur Dogan, Hulya Dogan, Coskun Bayrak, and 1 more author

Computer Methods and Programs in Biomedicine, 2021

DOI Bib HTML

@article{dogan2021two,
  title = {A two-phase approach using mask R-CNN and 3D U-Net for high-accuracy automatic segmentation of pancreas in CT imaging},
  author = {Dogan, Ramazan Ozgur and Dogan, Hulya and Bayrak, Coskun and Kayikcioglu, Temel},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {207},
  pages = {106141},
  bibtex_show = true,
  year = {2021},
  publisher = {Elsevier},
  doi = {https://doi.org/10.1016/j.cmpb.2021.106141},
}

Review Article

A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal.

Hulya Dogan and Ramazan Ozgur Dogan

Archives of Computational Methods in Engineering, 2023

DOI Bib HTML

@article{dogan2023comprehensive,
  title = {A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal.},
  author = {Dogan, Hulya and Dogan, Ramazan Ozgur},
  journal = {Archives of Computational Methods in Engineering},
  volume = {30},
  number = {6},
  bibtex_show = true,
  year = {2023},
  publisher = {Springer Naature},
  doi = {https://doi.org/10.1007/s11831-023-09916-x},
}

Research Article

Swin transformer-based shape-from-focus technique for accurate 3D shape estimation

Ramazan Ozgur Dogan, Hulya Dogan, and Alper Yilmaz

Optics and Lasers in Engineering, 2025

DOI Bib HTML Code

@article{dogan2025swin,
  title = {Swin transformer-based shape-from-focus technique for accurate 3D shape estimation},
  author = {Dogan, Ramazan Ozgur and Dogan, Hulya and Yilmaz, Alper},
  journal = {Optics and Lasers in Engineering},
  volume = {193},
  pages = {109108},
  bibtex_show = true,
  year = {2025},
  publisher = {Elsevier},
  doi = {https://doi.org/10.1016/j.optlaseng.2025.109108},
}