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Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

Oral radiology, 2022-10, Vol.38 (4), p.468-479

2022

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Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system

Oral radiology, 2022-07, Vol.38 (3), p.363-369

2022

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A new classification proposal for sphenoid sinus pneumatization: a retrospective radio-anatomic study

Oral radiology, 2021, Vol.37 (1), p.118-124

2021

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Dental radiographic procedures during COVID-19 outbreak and normalization period: recommendations on infection control

Oral radiology, 2020-10, Vol.36 (4), p.395-399

2020

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Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm

Oral radiology, 2023, Vol.39 (1), p.207-214

2023

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Evaluation of radix entomolaris in mandibular first and second molars using cone-beam computed tomography and review of the literature

Oral radiology, 2020-10, Vol.36 (4), p.320-326

2020

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A deep learning approach for dental implant planning in cone-beam computed tomography images

BMC medical imaging, 2021-05, Vol.21 (1), p.86-86, Article 86

2021

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Evaluation of sphenoid sinus variations by using cone beam computed tomography in patients with cleft lip/palate

Oral radiology, 2020-07, Vol.36 (3), p.248-253

2020

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No proven correlations between bone quality and degenerative bone changes in the mandibular condyle and articular eminence in temporomandibular joint dysfunction

Oral radiology, 2016-01, Vol.32 (1), p.33-39

2016

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Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

Dento-maxillo-facial radiology, 2021-09, Vol.50 (6), p.20200172-20200172

2021

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Evaluation of the relationship between periodontal bone destruction and mesial root concavity of the maxillary first premolar

BMC oral health, 2024-06, Vol.24 (1), p.1-10, Article 735

2024

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Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans

Journal of stomatology, oral and maxillofacial surgery, 2021-09, Vol.122 (4), p.333-337

2021

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YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

BMC medical imaging, 2024-07, Vol.24 (1), p.1-14, Article 172

2024

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Cone beam computed tomography imaging of ponticulus posticus: prevalence, characteristics, and a review of the literature

Oral surgery, oral medicine, oral pathology and oral radiology, 2014-12, Vol.118 (6), p.e210-e219

2014

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Correction to: Evaluation of radix entomolaris in mandibular first and second molars using cone-beam computed tomography and review of the literature

Oral radiology, 2022-07, Vol.38 (3), p.443-443

2022

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Can the blockchain-enabled interplanetary file system (Block-IPFS) be a solution for securely transferring imaging data for artificial intelligence research in oral and maxillofacial radiology?

Imaging Science in Dentistry, 2021, 51(3), , pp.337-339

2021

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A deep learning approach for masseter muscle segmentation on ultrasonography

Journal of ultrasonography, 2022-10, Vol.22 (91), p.204-208

2022

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

BMC oral health, 2024-04, Vol.24 (1), p.490-490, Article 490

2024

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Morphometric and morphological evaluation of mastoid emissary canal using cone-beam computed tomography

Science progress (1916), 2023-04, Vol.106 (2), p.368504231178382-368504231178382

2023

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The Relationship between carotid artery calcification and pulp stone among hemodialysis patients: A retrospective study

Saudi journal of kidney diseases and transplantation, 2019-07, Vol.30 (4), p.755-763

2019

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Nasopharynx evaluation in children of unilateral cleft palate patients and normal with cone beam computed tomography

Science progress (1916), 2023-01, Vol.106 (1), p.368504231157146-368504231157146

2023

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

Odontology, 2024-04, Vol.112 (2), p.552-561

2024

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Evaluation of the snowing-like ultrasonographic features of intraosseous jaw pathologies

Journal of ultrasonography, 2020-01, Vol.20 (83), p.307-310

2020

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Nasolabial Cyst: A Case Report with Ultrasonography and Magnetic Resonance Imaging Findings

Case reports in dentistry, 2017-01, Vol.2017, p.4687409-4

2017

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A comparison of three different diabetes screening methods among dental patients in Turkey

Pakistan journal of medical sciences, 2014-01, Vol.30 (1), p.65-69

2014

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Deep-learning approach for caries detection and segmentation on dental bitewing radiographs

Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system

A new classification proposal for sphenoid sinus pneumatization: a retrospective radio-anatomic study

Dental radiographic procedures during COVID-19 outbreak and normalization period: recommendations on infection control

Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm

Evaluation of radix entomolaris in mandibular first and second molars using cone-beam computed tomography and review of the literature

A deep learning approach for dental implant planning in cone-beam computed tomography images

Evaluation of sphenoid sinus variations by using cone beam computed tomography in patients with cleft lip/palate

No proven correlations between bone quality and degenerative bone changes in the mandibular condyle and articular eminence in temporomandibular joint dysfunction

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

Evaluation of the relationship between periodontal bone destruction and mesial root concavity of the maxillary first premolar

Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans

YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

Cone beam computed tomography imaging of ponticulus posticus: prevalence, characteristics, and a review of the literature

Correction to: Evaluation of radix entomolaris in mandibular first and second molars using cone-beam computed tomography and review of the literature

Can the blockchain-enabled interplanetary file system (Block-IPFS) be a solution for securely transferring imaging data for artificial intelligence research in oral and maxillofacial radiology?

A deep learning approach for masseter muscle segmentation on ultrasonography

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

Morphometric and morphological evaluation of mastoid emissary canal using cone-beam computed tomography

The Relationship between carotid artery calcification and pulp stone among hemodialysis patients: A retrospective study

Nasopharynx evaluation in children of unilateral cleft palate patients and normal with cone beam computed tomography

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

Evaluation of the snowing-like ultrasonographic features of intraosseous jaw pathologies

Nasolabial Cyst: A Case Report with Ultrasonography and Magnetic Resonance Imaging Findings

A comparison of three different diabetes screening methods among dental patients in Turkey

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