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Motoki Fukuda

Showing results (1-10 of 45) with videos related to

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Dento Maxillo Facial Radiology|May 18, 2017
Depression of the maxillary sinus anterior wall and its influence on panoramic radiography appearanceKazuhito Yoshida, Motoki Fukuda, Kenichi Gotoh, et al.
Dento Maxillo Facial Radiology|February 3, 2022
Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technologyYoshiko Ariji, Yoshitaka Kise, Motoki Fukuda, et al.
Oral Radiology|June 15, 2026
A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to predictionMichihito Nozawa, Yoshiko Ariji, Motoki Fukuda, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|October 13, 2022
Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniquesYoshiko Ariji, Mizuho Mori, Motoki Fukuda, et al.
Imaging Science in Dentistry|April 3, 2023
Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographsYoshitaka Kise, Yoshiko Ariji, Chiaki Kuwada, et al.
Oral Radiology|June 28, 2024
Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial networkMotoki Fukuda, Michihito Nozawa, Hironori Akiyama, et al.
Dento Maxillo Facial Radiology|July 27, 2024
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?Michihito Nozawa, Motoki Fukuda, Shinya Kotaki, et al.
Imaging Science in Dentistry|April 4, 2024
Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographsYoshitaka Kise, Chiaki Kuwada, Mizuho Mori, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|April 13, 2026
Development of a highly accurate machine learning model for the differential diagnosis of ameloblastoma and odontogenic keratocyst on computed tomography imagesDaisuke Nomoto, Motoki Fukuda, Yoshiko Ariji, et al.
Imaging Science in Dentistry|July 3, 2025
Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glandsYoshitaka Kise, Motoki Fukuda, Takuya Shibata, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Dento Maxillo Facial Radiology|May 18, 2017
Depression of the maxillary sinus anterior wall and its influence on panoramic radiography appearanceKazuhito Yoshida, Motoki Fukuda, Kenichi Gotoh, et al.
Dento Maxillo Facial Radiology|February 3, 2022
Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technologyYoshiko Ariji, Yoshitaka Kise, Motoki Fukuda, et al.
Oral Radiology|June 15, 2026
A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to predictionMichihito Nozawa, Yoshiko Ariji, Motoki Fukuda, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|October 13, 2022
Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniquesYoshiko Ariji, Mizuho Mori, Motoki Fukuda, et al.
Imaging Science in Dentistry|April 3, 2023
Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographsYoshitaka Kise, Yoshiko Ariji, Chiaki Kuwada, et al.
Oral Radiology|June 28, 2024
Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial networkMotoki Fukuda, Michihito Nozawa, Hironori Akiyama, et al.
Dento Maxillo Facial Radiology|July 27, 2024
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?Michihito Nozawa, Motoki Fukuda, Shinya Kotaki, et al.
Imaging Science in Dentistry|April 4, 2024
Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographsYoshitaka Kise, Chiaki Kuwada, Mizuho Mori, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|April 13, 2026
Development of a highly accurate machine learning model for the differential diagnosis of ameloblastoma and odontogenic keratocyst on computed tomography imagesDaisuke Nomoto, Motoki Fukuda, Yoshiko Ariji, et al.
Imaging Science in Dentistry|July 3, 2025
Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glandsYoshitaka Kise, Motoki Fukuda, Takuya Shibata, et al.
Pageof 5