Ibrahim Sevki Bayrakdar

Orcid: 0000-0001-5036-9867

According to our database1, Ibrahim Sevki Bayrakdar authored at least 11 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Fully automated 3D segmentation of periapical lesions on CBCT images using nnU-Net v2.
BMC Medical Imaging, December, 2026

2025
Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility.
BMC Medical Imaging, December, 2025

A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.
J. Imaging Inform. Medicine, 2025

Evaluation of the Detectability of Oral Potentially Malignant Diseases with a Deep Learning Approach: A Retrospective Pilot Study.
J. Imaging Inform. Medicine, 2025

Evaluation of Cone-Beam Computed Tomography Images with Artificial Intelligence.
J. Imaging Inform. Medicine, 2025

2024
Does the FARNet neural network algorithm accurately identify Posteroanterior cephalometric landmarks?
BMC Medical Imaging, December, 2024

Correction: YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition.
BMC Medical Imaging, December, 2024

YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition.
BMC Medical Imaging, December, 2024

2023
Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images.
Int. J. Intell. Syst., 2023

2021
An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs.
BMC Medical Imaging, 2021

A deep learning approach for dental implant planning in cone-beam computed tomography images.
BMC Medical Imaging, 2021


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