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Biomolecules|July 8, 2020
Deep Neural Networks for Dental Implant System ClassificationShintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, et al.Biomolecules|June 2, 2021
Multi-Task Deep Learning Model for Classification of Dental Implant Brand and Treatment Stage Using Dental Panoramic Radiograph ImagesShintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, et al.Scientific Reports|October 8, 2022
Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiographyShintaro Sukegawa, Futa Tanaka, Takeshi Hara, et al.Scientific Reports|August 2, 2022
Effective deep learning for oral exfoliative cytology classificationShintaro Sukegawa, Futa Tanaka, Keisuke Nakano, et al.Scientific Reports|January 14, 2022
Evaluation of multi-task learning in deep learning-based positioning classification of mandibular third molarsShintaro Sukegawa, Tamamo Matsuyama, Futa Tanaka, et al.Plos One|July 27, 2022
Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning?Shintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, et al.Scientific Reports|January 29, 2025
Optimizing dental implant identification using deep learning leveraging artificial dataShintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, et al.Scientific Reports|July 19, 2023
Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologistsShintaro Sukegawa, Sawako Ono, Futa Tanaka, et al.Pageof 1