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Diagnostics (Basel, Switzerland)|November 13, 2025
Automated Multi-Class Classification of Retinal Pathologies: A Deep Learning Approach to Unified Ophthalmic ScreeningUğur Şevik, Onur MutluPlos One|March 18, 2026
ABC-YOLO: Automated skin burn depth classification using YOLO architecturesUğur Şevik, Onur MutluDiagnostics (Basel, Switzerland)|August 14, 2025
Detection of Dental Anomalies in Digital Panoramic Images Using YOLO: A Next Generation Approach Based on Single Stage Detection ModelsUğur Şevik, Onur MutluScientific Reports|December 11, 2025
A computationally efficient hybrid framework combining deep feature extraction and gradient boosting for early diagnosis of Olive leaf diseasesUğur Şevik, Fatih Serdar AydemirMicroscopy Research and Technique|August 6, 2026
Automated Detection and Classification of Pollen Grains Using YOLO-Based Deep Learning ModelsZeynep Türker, Onur Mutlu, Uğur Şevik, et al.Journal of Biomedical Optics|April 11, 2014
Identification of suitable fundus images using automated quality assessment methodsUğur Şevik, Cemal Köse, Tolga Berber, et al.Pageof 1