Mustafa Al-Rubaye

Mustafa Al-Rubaye is a Doctoral Researcher at the University of Oulu's Faculty of Medicine, affiliated with the Research Unit of Health Sciences and Technology. He holds an MSc (Tech) in Biomedical Engineering and focuses on deep learning for medical imaging applications.

His research expertise includes developing AI-driven solutions for image classification, segmentation, and quality assessment, particularly using U-Net and Multi-filter Multi-scale U-Net models for CBCT image reconstruction. He utilizes NVIDIA Clara for GPU-accelerated deep learning and integrates AI models with clinical systems like Planmeca.

Al-Rubaye has experience managing large-scale clinical datasets and collaborating with hospitals, research institutions, and industry partners. His work emphasizes practical applications in diagnostic workflows, leveraging Python (TensorFlow/PyTorch) and Linux environments.

He contributes to the Medical Imaging in Diagnostics, Algorithms and Software (MIDAS) research group. While no specific scientific awards are listed, his projects include the TOMOHEAD initiative.