S. Özçelik

Attention-Guided 3D Residual Learning for Pulmonary Embolism Segmentation on CT Pulmonary Angiography.

Knowledge-Guided Deep Learning with Clinical EEG Biomarkers for Automated Dementia Detection and Staging

Background: Early detection of dementia is essential for timely intervention, yet existing diagnostic approaches remain costly, invasive, or dependent on specialized expertise. Electroencephalography (EEG) offers a non-invasive and accessible alternative; however, purely data-driven deep learning models may overlook cl...

Deep Learning-Assisted Three-Dimensional Segmentation of Vertebrobasilar Artery Calcification in Cone Beam Computed Tomography.

ImprovedVertebroV5, a 3D U-Net architecture incorporating focal attention mechanisms, small-object detection modules, and pyramid pooling for context aggregation, demonstrated promising internal validation performance for automated VBAC segmentation on CBCT images and may support the future development of opportunistic...