Author

I. Aydin

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Conference Sep 2026

An Explainable Multi-Camera Vision System for Automated Bolt Inspection

In this study, a classical image-processing-based, explainable, and multi-view inspection system for detecting bolt defects is presented. In the proposed system, geometric and morphological analyses are performed using images obtained from different viewpoints, without the need for deep learning. A trigger mechanism ba...

Emre Güçlü, Oğuz Ergin, I. Aydin et al. · Automation, Control, and Inf... · 0 citations

Open access Jul 2026

Enhanced MRI brain tumor segmentation with DNet and hybrid dice-weighted cross-entropy loss.

The proposed DNet framework provides a robust and efficient framework for medical image segmentation and achieves higher accuracy in small tumor regions by combining Dice loss and weighted cross-entropy (WCE) loss.

Mehmet Sevi, I. Aydin, D. Cetintas · Scientific Reports · 0 citations

Open access Sep 2026

Multicenter machine learning model using clinical and radiomic features for prediction of postoperative residual status in meningioma.

In this multicenter study, which included external validation, clinical variables provided most of the predictive value for postoperative residual meningioma, whereas radiomic features provided only limited incremental value when added to the clinical model.

Nafiye Şanlıer, Murat Yuce, Umid Sulaimanov et al. · Neurosurgical Focus · 0 citations