İbrahim Şevki Bayrakdar

About İbrahim Şevki Bayrakdar

İbrahim Şevki Bayrakdar, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Eskisehir Osmangazi Üniversitesi, specializes in the field of artificial intelligence, deep learning, radiology, blockchain.

His recent articles reflect a diverse array of research interests and contributions to the field:

Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images

A Deep-Learning Approach to Automatic Tooth Caries Segmentation on Panoramic Radiographs of Children in Primary Dentition, Mixed Dentition, and Permanent Dentition

Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images

Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach

The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study. Diagnostics 2024, 14, 890. htps

3D evaluation of the maxillary sinus volumes in patients with bilateral cleft lip and palate.

Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study.

Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study

İbrahim Şevki Bayrakdar Information

University

Position

___

Citations(all)

1510

Citations(since 2020)

1379

Cited By

343

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

39

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

İbrahim Şevki Bayrakdar Skills & Research Interests

artificial intelligence

deep learning

radiology

blockchain

Top articles of İbrahim Şevki Bayrakdar

Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images

Dentomaxillofacial Radiology

2024/3/19

A Deep-Learning Approach to Automatic Tooth Caries Segmentation on Panoramic Radiographs of Children in Primary Dentition, Mixed Dentition, and Permanent Dentition

2024/4/1

Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images

Odontology

2024/4

Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach

Journal of Stomatology, Oral and Maxillofacial Surgery

2024/3/7

The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study. Diagnostics 2024, 14, 890. htps

doi. org/10.3390/diagnostics14090890 Academic Editor: Jae-Ho Han Received

2024/3

3D evaluation of the maxillary sinus volumes in patients with bilateral cleft lip and palate.

Journal of Clinical Pediatric Dentistry

2024/3/1

İbrahim Şevki Bayrakdar
İbrahim Şevki Bayrakdar

H-Index: 10

Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study.

Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology

2024/2/20

İbrahim Şevki Bayrakdar
İbrahim Şevki Bayrakdar

H-Index: 10

Kaan Orhan
Kaan Orhan

H-Index: 3

Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study

BMC Oral Health

2024/1/31

Artificial Intelligence in Dental Education

2024/1/11

Applications of Artificial Intelligence in Dentistry

2022/1

Artificial Intelligence in Temporomandibular Joint Disorders

2024/1/11

Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study

BMC Oral Health

2024

Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images

International Journal of Intelligent Systems

2023/10/23

İbrahim Şevki Bayrakdar
İbrahim Şevki Bayrakdar

H-Index: 10

Kaan Orhan
Kaan Orhan

H-Index: 3

An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population

BMC Oral Health

2023/10/17

Elif Bilgir
Elif Bilgir

H-Index: 4

İbrahim Şevki Bayrakdar
İbrahim Şevki Bayrakdar

H-Index: 10

Kaan Orhan
Kaan Orhan

H-Index: 3

Automatic Impacted Tooth Segmentation Using Artificial Intelligence Model on Cone-Beam Computed Tomography Images

Journal of Oral and Maxillofacial Surgery

2023/9/1

Classification of temporomandibular joint osteoarthritis on cone beam computed tomography images using artificial intelligence system

Journal of Oral Rehabilitation

2023/9

İbrahim Şevki Bayrakdar
İbrahim Şevki Bayrakdar

H-Index: 10

Investigation of the effect of indirect pulp capping materials on dentin mineral density

Brazilian Journal of Oral Sciences

2023/8/14

Using artificial intelligence models to evaluate envisaged points initially: A pilot study

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

2023/6

Mehmet Uğurlu
Mehmet Uğurlu

H-Index: 1

İbrahim Şevki Bayrakdar
İbrahim Şevki Bayrakdar

H-Index: 10

Kaan Orhan
Kaan Orhan

H-Index: 3

Assessing the effectiveness of artificial intelligence models for detecting alveolar bone loss in periodontal disease: a panoramic radiograph study

Diagnostics

2023/5/19

A New Approach in Dentistry: Can blockchain technology be used to create an oral implant information system?

The Journal of Oral Implantology

2023/5/1

See List of Professors in İbrahim Şevki Bayrakdar University(Eskisehir Osmangazi Üniversitesi)

Co-Authors

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