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Author

I. Aydin

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Open access Oct 2026

MRI-based preoperative WHO grade prediction in meningioma: development and comparison of deep learning, radiomics, clinical, and combined models in multicenter data

The objective of this study was to develop and externally validate complementary magnetic resonance imaging (MRI)-based models and their stacked combinations for preoperative World Health Organization (WHO) grading of intracranial meningioma. This retrospective multicenter study included 455 histopathologically confirm...

Cagin Huryol, Umid Sulaimanov, Murat Yuce et al. · 0 citations
Conference Sep 2026

A Modular Information Extraction and LLM-Based Automated Reporting Framework for Multilingual Disaster Analysis

This study presents a modular information extraction architecture built on a multimodal disaster dataset containing original image and text data to interpret unstructured content shared on digital platforms after disasters, including Instagram, Twitter, and Facebook. The study aims to extract critical information with...

Z. Karaca, I. Aydin, Nurhayat Dere · 0 citations
Open access Aug 2026

The effect of radiological degenerative progression on the timing of recurrence in recurrent lumbar disc herniation: A retrospective analysis

Introduction: Recurrent lumbar disc herniation (rLDH) remains a significant complication following lumbar discectomy. While structural factors such as herniation size and canal compromise have been investigated, the impact of longitudinal degenerative progression on recurrence timing remains unclear. This study aimed t...

I. Aydin, Berkay Kef, Melih Üçer et al. · 0 citations
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. · 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 · 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. · 0 citations

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