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K. Orhan et al.
INTERNATIONAL ENDODONTIC JOURNAL (2020)
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Falk Schwendicke et al.
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Felix Kunz et al.
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Motoki Fukuda et al.
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Odeuk Kwon et al.
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Hyunwoo Yang et al.
JOURNAL OF CLINICAL MEDICINE (2020)
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Shintaro Sukegawa et al.
BIOMOLECULES (2020)
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Michael G. Endres et al.
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Jae-Hong Lee et al.
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Hannah Kim et al.
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Chiaki Kuwada et al.
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Anselmo Garcia Cantu et al.
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Maria Prados-Privado et al.
JOURNAL OF CLINICAL MEDICINE (2020)
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V. Geetha et al.
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Noriaki Takahashi et al.
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Joachim Krois et al.
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Shankeeth Vinayahalingam et al.
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Yoshiko Ariji et al.
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Jaeyoung Kim et al.
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Teruhiko Hiraiwa et al.
DENTOMAXILLOFACIAL RADIOLOGY (2019)
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Makoto Murata et al.
ORAL RADIOLOGY (2019)
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Hu Chen et al.
SCIENTIFIC REPORTS (2019)
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Jae-Hong Lee et al.
JOURNAL OF DENTISTRY (2018)
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Ahmed Hosny et al.
NATURE REVIEWS CANCER (2018)
Global epidemiology of dental caries and severe periodontitis - a comprehensive review
Jo E. Frencken et al.
JOURNAL OF CLINICAL PERIODONTOLOGY (2017)
An artificial multilayer perceptron neural network for diagnosis of proximal dental caries
Karina Lopes Devito et al.
ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY AND ENDODONTOLOGY (2008)
An artificial neural network for detection of simulated dental caries
Suwadee Kositbowornchai et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2006)