J. Bueno
7 Papers
J. Bueno is an academic researcher. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 4 publications.
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Papers
Diagnostic performance of convolutional neural networks for dental sexual dimorphism
Ademir Franco,Lucas Faria Porto,Dennis Heng,Jared Murray,Anna Lygate,Raquel Porto Alegre Valente Franco,J. Bueno,Marilia Sobania,Marcio Magno Costa,Luiz Renato Paranhos,Scheila Mânica,Andre da Silva Abade +11 more
TL;DR: In this article , the application of a machine learning setup to distinguish females and males using dentomaxillofacial features from a radiographic dataset was tested, and diagnostic accuracy tests were used.
Radiographic dental age estimation applying and comparing Demirjian’s seven (1973) and four (1976) teeth methods
Rafael de Azevedo Cidade,Marcelo Soares dos Santos,Thaís Cássia Alves,J. Bueno,Mariana Quirino Silveira Soares,Mariana Arakelyan,José Luiz Cintra Junqueira,Ademir Franco +7 more
TL;DR: D 4 optimized the performance of radiographic dental age estimation compared to D 7, and improvements were reflected in the total sample and separately for female and male children from Southeast Brazil.
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Application of the London Atlas Software App 2nd edition for the radiographic assessment of dental development
E. Dalben,J. Bueno,Yasmin Fonseca,Scheila Mânica,Monikelly do Carmo Chagas Nascimento,Ademir Franco +5 more
TL;DR: In this paper , the authors applied the London Atlas Software App 2nd edition™ for dental age estimation in Brazilian children, and the mean absolute errors among females and males were 0.56 and 0.60 years, respectively (overall = 0.58 years).
Binary decisions of artificial intelligence to classify third molar development around the legal age thresholds of 14, 16 and 18 years
Ademir Franco,Jared Murray,Dennis Heng,Anna Lygate,D. Moreira,Jaqueline Ferreira,Djessyca Miranda e Paulo,Carlos Palhares Machado,J. Bueno,S. Mânica,L. Porto,A. Abade,Luiz Renato Paranhos +12 more
TL;DR: Testing the performance of artificial intelligence to classify individuals below and above the legal age thresholds of 14, 16 and 18 years using third molar development found it able to classify male and females below and above the legal age thresholds of 14, 16 and 18 years with high accuracy.
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Effect of decompression and online transmission on the dimensional changes of .stl files generated by intra-oral scanning
J. Bueno,Carolina Guarniéri Gouveia,Mayara Barbosa Viandelli Mundim,Ademir Franco,José Luiz Cintra Junqueira,Monikelly do Carmo Chagas Nascimento +5 more
TL;DR: It is concluded that it is possible to compress, decompress, and transfer intraoral scan files in.stl format files online without causing dimensional distortions in the 3D model.