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Synthesis of FeCo magnetic nanoalloys and investigation of heating properties for magnetic fluid hyperthermia

Journal of magnetism and magnetic materials, 2018-06, Vol.456, p.11-16

2018

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Noise behavior of tungsten oxide doped amorphous vanadium oxide thin films

Sensors and actuators. A. Physical., 2022-08, Vol.342, p.113629, Article 113629

2022

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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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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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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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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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Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography

Tüberküloz ve toraks, 2021-12, Vol.69 (4), p.486-491

2021

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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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A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs

BioMed research international, 2022, Vol.2022, p.7035367-7

2022

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Predicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique

Journal of evaluation in clinical practice, 2024-05

2024

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An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs

Acta odontologica Scandinavica, 2021-05, Vol.79 (4), p.275-281

2021

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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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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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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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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 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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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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Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

Dento-maxillo-facial radiology, 2022-03, Vol.51 (3), p.20210246-20210246

2022

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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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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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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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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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Automatic Feature Segmentation in Dental Periapical Radiographs

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

2022

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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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Synthesis of FeCo magnetic nanoalloys and investigation of heating properties for magnetic fluid hyperthermia

Noise behavior of tungsten oxide doped amorphous vanadium oxide thin films

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

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

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

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

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

Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography

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

A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs

Predicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique

An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs

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

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

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

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

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

A deep learning approach for masseter muscle segmentation on ultrasonography

Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs

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

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

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

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

Automatic Feature Segmentation in Dental Periapical Radiographs

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

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