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Journal of Stomatology, Oral and Maxillofacial Surgery
|
December 21, 2020
Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans
Kaan Orhan, Elif Bilgir, Ibrahim Sevki Bayrakdar, et al.
BMC Oral Health
|
May 29, 2026
Comparison of linear and angular cephalometric measurements in CBCT using semi-automated software and artificial intelligence-generated cephalograms
Kaan Orhan, Ismet Ersalıcı, Nora Saif, et al.
BMC Medical Imaging
|
May 20, 2021
A deep learning approach for dental implant planning in cone-beam computed tomography images
Sevda Kurt Bayrakdar, Kaan Orhan, Ibrahim Sevki Bayrakdar, et al.
Journal of Dentistry
|
May 31, 2024
Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs
Viktor Szabó, Bence Tamás Szabó, Kaan Orhan, et al.
Diagnostics (Basel, Switzerland)
|
February 26, 2025
Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs
Viktor Szabó, Kaan Orhan, Csaba Dobó-Nagy, et al.
Scientific Reports
|
July 23, 2021
Clinically applicable artificial intelligence system for dental diagnosis with CBCT
Matvey Ezhov, Maxim Gusarev, Maria Golitsyna, et al.
Imaging Science in Dentistry
|
October 6, 2023
Determining the reliability of diagnosis and treatment using artificial intelligence software with panoramic radiographs
Kaan Orhan, Ceren Aktuna Belgin, David Manulis, et al.
Scientific Reports
|
July 13, 2022
AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
Kaan Orhan, Mamat Shamshiev, Matvey Ezhov, et al.
Dento Maxillo Facial Radiology
|
August 29, 2023
Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis
Kaan Orhan, Alex Sanders, Gürkan Ünsal, et al.
Diagnostics (Basel, Switzerland)
|
November 24, 2023
Evaluation of a Decision Support System Developed with Deep Learning Approach for Detecting Dental Caries with Cone-Beam Computed Tomography Imaging
Hakan Amasya, Mustafa Alkhader, Gözde Serindere, et al.
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Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Journal of Stomatology, Oral and Maxillofacial Surgery
|
December 21, 2020
Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans
Kaan Orhan, Elif Bilgir, Ibrahim Sevki Bayrakdar, et al.
BMC Oral Health
|
May 29, 2026
Comparison of linear and angular cephalometric measurements in CBCT using semi-automated software and artificial intelligence-generated cephalograms
Kaan Orhan, Ismet Ersalıcı, Nora Saif, et al.
BMC Medical Imaging
|
May 20, 2021
A deep learning approach for dental implant planning in cone-beam computed tomography images
Sevda Kurt Bayrakdar, Kaan Orhan, Ibrahim Sevki Bayrakdar, et al.
Journal of Dentistry
|
May 31, 2024
Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs
Viktor Szabó, Bence Tamás Szabó, Kaan Orhan, et al.
Diagnostics (Basel, Switzerland)
|
February 26, 2025
Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs
Viktor Szabó, Kaan Orhan, Csaba Dobó-Nagy, et al.
Scientific Reports
|
July 23, 2021
Clinically applicable artificial intelligence system for dental diagnosis with CBCT
Matvey Ezhov, Maxim Gusarev, Maria Golitsyna, et al.
Imaging Science in Dentistry
|
October 6, 2023
Determining the reliability of diagnosis and treatment using artificial intelligence software with panoramic radiographs
Kaan Orhan, Ceren Aktuna Belgin, David Manulis, et al.
Scientific Reports
|
July 13, 2022
AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT scans for automatic detection of pharyngeal airway evaluations in OSA patients
Kaan Orhan, Mamat Shamshiev, Matvey Ezhov, et al.
Dento Maxillo Facial Radiology
|
August 29, 2023
Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis
Kaan Orhan, Alex Sanders, Gürkan Ünsal, et al.
Diagnostics (Basel, Switzerland)
|
November 24, 2023
Evaluation of a Decision Support System Developed with Deep Learning Approach for Detecting Dental Caries with Cone-Beam Computed Tomography Imaging
Hakan Amasya, Mustafa Alkhader, Gözde Serindere, et al.
Page
of 1