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An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs

BMC medical imaging, 2021-08, Vol.21 (1), p.124-9, Article 124

2021

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Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm

BMC oral health, 2024-09, Vol.24 (1), p.1-14, Article 1034

2024

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

BMC oral health, 2023-10, Vol.23 (1), p.1-764, Article 764

2023

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

BMC oral health, 2024-01, Vol.24 (1), p.155-155, Article 155

2024

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Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence

European Annals of Dental Sciences, 2023-04, Vol.50 (1), p.12-16

2023

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Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease: A Panoramic Radiograph Study

Diagnostics (Basel), 2023-05, Vol.13 (10), p.1800

2023

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The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study

Diagnostics (Basel), 2024-05, Vol.14 (9), p.890

2024

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Automatic Detection of Dentigerous Cysts on Panoramic Radiographs: A Deep Learning Study

European Annals of Dental Sciences, 2022-04, Vol.49 (1), p.1-4

2022

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Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images

Diagnostics (Basel), 2022-09, Vol.12 (9), p.2244

2022

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Late Side Effects of Chemotherapy and Radiotherapy in Early Childhood on the Teeth: Two Case Reports

Turkish journal of haematology, 2018-03, Vol.35 (1), p.87-88

2018

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Automatic Feature Segmentation in Dental Periapical Radiographs

Diagnostics (Basel), 2022-12, Vol.12 (12), p.3081

2022

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Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images

Diagnostics (Basel), 2023-02, Vol.13 (4), p.581

2023

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SUCCESS OF ARTIFICIAL INTELLIGENCE SYSTEM IN DETERMINING ALVEOLAR BONE LOSS FROM DENTAL PANORAMIC RADIOGRAPHY IMAGES

Cumhuriyet Dental Journal, 2020-12, Vol.23 (4), p.318-324

2020

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Radiological evaluation of maxillofacial soft tissue calcifications with cone beam computed tomography and panoramic radiography

International journal of clinical practice (Esher), 2021-05, Vol.75 (5), p.e14086-n/a

2021

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

Oral surgery, oral medicine, oral pathology and oral radiology, 2024-06, Vol.137 (6), p.679-689

2024

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

Journal of oral rehabilitation, 2023-09, Vol.50 (9), p.758-766

2023

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

The Journal of clinical pediatric dentistry, 2024-03, Vol.48 (2), p.173-180

2024

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A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study

Journal of stomatology, oral and maxillofacial surgery, 2023-02, Vol.124 (1), p.101264-101264, Article 101264

2023

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Evaluation of the relationship between the Demirjian and Nolla methods and the pubertal growth spurt stage predicted by skeletal maturation indicators in Turkish children aged 10-15: investigation study

Acta odontologica Scandinavica, 2019-02, Vol.77 (2), p.107-113

2019

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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, 2023-06, Vol.237 (6), p.706-718

2023

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Incidence of anomalous canals in the base of the skull: a retrospective radio-anatomical study using cone-beam computed tomography

Surgical and radiologic anatomy (English ed.), 2020-02, Vol.42 (2), p.171-177

2020

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

International journal of intelligent systems, 2023-10, Vol.2023, p.1-8

2023

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A Deep Learning Approach to Automatic Tooth Detection and Numbering in Panoramic Radiographs: An Artificial Intelligence Study

Clinical and experimental health sciences (Online), 2023-12, Vol.13 (4), p.883-888

2023

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Shaping Ability of WaveOne Gold Primary in combination with different glide path file systems in curved root canals

Selcuk Dental Journal, 2020-08, Vol.7 (2), p.304-309

2020

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Cone beam computed tomography evaluation of sphenoid sinus in different sagittal skeletal pattern

European Oral Research, 2022-09, Vol.56 (3), p.143-148

2022

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An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs

Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm

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

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

Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence

Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease: A Panoramic Radiograph Study

The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study

Automatic Detection of Dentigerous Cysts on Panoramic Radiographs: A Deep Learning Study

Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images

Late Side Effects of Chemotherapy and Radiotherapy in Early Childhood on the Teeth: Two Case Reports

Automatic Feature Segmentation in Dental Periapical Radiographs

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images

SUCCESS OF ARTIFICIAL INTELLIGENCE SYSTEM IN DETERMINING ALVEOLAR BONE LOSS FROM DENTAL PANORAMIC RADIOGRAPHY IMAGES

Radiological evaluation of maxillofacial soft tissue calcifications with cone beam computed tomography and panoramic radiography

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

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

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

A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study

Evaluation of the relationship between the Demirjian and Nolla methods and the pubertal growth spurt stage predicted by skeletal maturation indicators in Turkish children aged 10-15: investigation study

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

Incidence of anomalous canals in the base of the skull: a retrospective radio-anatomical study using cone-beam computed tomography

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

A Deep Learning Approach to Automatic Tooth Detection and Numbering in Panoramic Radiographs: An Artificial Intelligence Study

Shaping Ability of WaveOne Gold Primary in combination with different glide path file systems in curved root canals

Cone beam computed tomography evaluation of sphenoid sinus in different sagittal skeletal pattern

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