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Refinado por: Nome da Publicação: dentomaxillofacial Radiology remover
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Can diagnostic changes caused by cone beam computed tomography alter the clinical decision in impacted lower third molar treatment plan?

Lucas Moreira Mendonça Hugo Gaêta-Araujo; Pedro Bastos Cruvinel; Ingrid Wenzel Tosin; Marcelo Rodrigues Azenha; Emanuela Prado Ferraz; Christiano de Oliveira-Santos; Camila Tirapelli

Dentomaxillofacial Radiology Oxford v. 50, n. 4, art. 20200412, [7] p, 2021

Oxford 2021

Localização: FORP - Fac. Odont. de Ribeirão Preto    (pcd 3195218 Acervo Digital )(Acessar)

2
3.0 Tesla MRI in the early evaluation of inferior alveolar nerve neurological complications after mandibular third molar extraction: a prospective study
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3.0 Tesla MRI in the early evaluation of inferior alveolar nerve neurological complications after mandibular third molar extraction: a prospective study

Cassetta, M ; Pranno, N ; Barchetti, F ; Sorrentino, V ; Lo Mele, L

Dento-maxillo-facial radiology, 2014-10, Vol.43 (7), p.20140152-20140152 [Periódico revisado por pares]

England: The British Institute of Radiology

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3
Using a flat-panel detector in high resolution cone beam CT for dental imaging
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Using a flat-panel detector in high resolution cone beam CT for dental imaging

Baba, R ; Ueda, K ; Okabe, M

Dento-maxillo-facial radiology, 2004-09, Vol.33 (5), p.285-290 [Periódico revisado por pares]

England

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4
Tooth detection and numbering in panoramic radiographs using convolutional neural networks
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Tooth detection and numbering in panoramic radiographs using convolutional neural networks

Tuzoff, Dmitry V ; Tuzova, Lyudmila N ; Bornstein, Michael M ; Krasnov, Alexey S ; Kharchenko, Max A ; Nikolenko, Sergey I ; Sveshnikov, Mikhail M ; Bednenko, Georgiy B

Dento-maxillo-facial radiology, 2019-05, Vol.48 (4), p.20180051-20180051 [Periódico revisado por pares]

England: The British Institute of Radiology

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5
The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review
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The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

Hung, Kuofeng ; Montalvao, Carla ; Tanaka, Ray ; Kawai, Taisuke ; Bornstein, Michael M

Dento-maxillo-facial radiology, 2020-01, Vol.49 (1), p.20190107-20190107 [Periódico revisado por pares]

England: The British Institute of Radiology

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6
Current applications and development of artificial intelligence for digital dental radiography
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Current applications and development of artificial intelligence for digital dental radiography

Putra, Ramadhan Hardani ; Doi, Chiaki ; Yoda, Nobuhiro ; Astuti, Eha Renwi ; Sasaki, Keiichi

Dento-maxillo-facial radiology, 2022-01, Vol.51 (1), p.20210197-20210197 [Periódico revisado por pares]

England: The British Institute of Radiology

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7
A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography
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A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography

Hiraiwa, Teruhiko ; Ariji, Yoshiko ; Fukuda, Motoki ; Kise, Yoshitaka ; Nakata, Kazuhiko ; Katsumata, Akitoshi ; Fujita, Hiroshi ; Ariji, Eiichiro

Dento-maxillo-facial radiology, 2019-03, Vol.48 (3), p.20180218-20180218 [Periódico revisado por pares]

England: The British Institute of Radiology

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8
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
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Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

Kılıc, Münevver Coruh ; Bayrakdar, Ibrahim Sevki ; Çelik, Özer ; Bilgir, Elif ; Orhan, Kaan ; Aydın, Ozan Barıs ; Kaplan, Fatma Akkoca ; Sağlam, Hande ; Odabaş, Alper ; Aslan, Ahmet Faruk ; Yılmaz, Ahmet Berhan

Dento-maxillo-facial radiology, 2021-09, Vol.50 (6), p.20200172-20200172 [Periódico revisado por pares]

England: The British Institute of Radiology

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9
Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs
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Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs

Kuwana, Ryosuke ; Ariji, Yoshiko ; Fukuda, Motoki ; Kise, Yoshitaka ; Nozawa, Michihito ; Kuwada, Chiaki ; Muramatsu, Chisako ; Katsumata, Akitoshi ; Fujita, Hiroshi ; Ariji, Eiichiro

Dento-maxillo-facial radiology, 2021-01, Vol.50 (1), p.20200171-20200171 [Periódico revisado por pares]

England: The British Institute of Radiology

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10
Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network
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Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network

Kwon, Odeuk ; Yong, Tae-Hoon ; Kang, Se-Ryong ; Kim, Jo-Eun ; Huh, Kyung-Hoe ; Heo, Min-Suk ; Lee, Sam-Sun ; Choi, Soon-Chul ; Yi, Won-Jin

Dento-maxillo-facial radiology, 2020-12, Vol.49 (8), p.20200185 [Periódico revisado por pares]

England: The British Institute of Radiology

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