İbrahim Şevki Bayrakdar

Akademik Profiller

1. 1
   Deploying a novel deep learning framework for segmentation of specific anatomical structures on cone-beam CTOral Radiology
   2025
2. 2
   Detection of External Root Resorption in Periapical Radiographs Using YOLO-Based Deep Learning ModelDentomaxillofacial Radiology
   2025
3. 3
   Evaluation of the Detectability of Oral Potentially Malignant Diseases with a Deep Learning Approach: A Retrospective Pilot StudyJournal of Imaging Informatics in Medicine
   2025
4. 4
   Evaluation of deep learning-based segmentation models for carotid artery calcification detection in panoramic radiographsOral Radiology
   2025
5. 5
   Analysis of the maxillary sinus volumes via CBCT in patients with unilateral and bilateral cleft palate and lipJournal of Plastic, Reconstructive & Aesthetic Surgery
   2025
6. 6
   Artificial Intelligence for Root Canal Orifice Identification Using Dental Operating Microscope Images: A Preliminary EvaluationAustralian Endodontic Journal
   2025
7. 7
   Artificial intelligence-based fully automatic 3D paranasal sinus segmentationDentomaxillofacial Radiology
   2025
8. 8
   Automatic Segmentation of the Infraorbital Canal in CBCT Images: Anatomical Structure Recognition Using Artificial IntelligenceDiagnostics
   2025
9. 9
   Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography imagesOral Radiology
   2025
10. 10
    Evaluation of Cone-Beam Computed Tomography Images with Artificial IntelligenceJournal of Imaging Informatics in Medicine
    2025

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