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Motoki Fukuda

Showing results (31-40 of 45) with videos related to

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Oral Radiology|July 22, 2025
Area detection improves the person-based performance of a deep learning system for classifying the presence of carotid artery calcifications on panoramic radiographsChiaki Kuwada, Yuta Mitsuya, Motoki Fukuda, et al.
Dento Maxillo Facial Radiology|March 26, 2021
Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyleMasako Nishiyama, Kenichiro Ishibashi, Yoshiko Ariji, et al.
Oral Radiology|May 27, 2021
Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canineMizuho Mori, Yoshiko Ariji, Motoki Fukuda, et al.
Oral Radiology|June 8, 2020
Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary studyYoshiko Ariji, Motoki Fukuda, Michihito Nozawa, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|May 24, 2020
Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographsMotoki Fukuda, Yoshiko Ariji, Yoshitaka Kise, et al.
Oral Radiology|September 20, 2019
Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiographyMotoki Fukuda, Kyoko Inamoto, Naoki Shibata, et al.
Oral Radiology|June 15, 2019
CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classificationYoshiko Ariji, Yoshihiko Sugita, Toru Nagao, et al.
Dento Maxillo Facial Radiology|July 4, 2020
Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographsRyosuke Kuwana, Yoshiko Ariji, Motoki Fukuda, et al.
Oral Radiology|August 19, 2022
Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolusChiaki Kuwada, Yoshiko Ariji, Yoshitaka Kise, et al.
Dento Maxillo Facial Radiology|August 4, 2021
Automatic segmentation of the temporomandibular joint disc on magnetic resonance images using a deep learning techniqueMichihito Nozawa, Hirokazu Ito, Yoshiko Ariji, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
Oral Radiology|July 22, 2025
Area detection improves the person-based performance of a deep learning system for classifying the presence of carotid artery calcifications on panoramic radiographsChiaki Kuwada, Yuta Mitsuya, Motoki Fukuda, et al.
Dento Maxillo Facial Radiology|March 26, 2021
Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyleMasako Nishiyama, Kenichiro Ishibashi, Yoshiko Ariji, et al.
Oral Radiology|May 27, 2021
Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canineMizuho Mori, Yoshiko Ariji, Motoki Fukuda, et al.
Oral Radiology|June 8, 2020
Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary studyYoshiko Ariji, Motoki Fukuda, Michihito Nozawa, et al.
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|May 24, 2020
Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographsMotoki Fukuda, Yoshiko Ariji, Yoshitaka Kise, et al.
Oral Radiology|September 20, 2019
Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiographyMotoki Fukuda, Kyoko Inamoto, Naoki Shibata, et al.
Oral Radiology|June 15, 2019
CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classificationYoshiko Ariji, Yoshihiko Sugita, Toru Nagao, et al.
Dento Maxillo Facial Radiology|July 4, 2020
Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographsRyosuke Kuwana, Yoshiko Ariji, Motoki Fukuda, et al.
Oral Radiology|August 19, 2022
Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolusChiaki Kuwada, Yoshiko Ariji, Yoshitaka Kise, et al.
Dento Maxillo Facial Radiology|August 4, 2021
Automatic segmentation of the temporomandibular joint disc on magnetic resonance images using a deep learning techniqueMichihito Nozawa, Hirokazu Ito, Yoshiko Ariji, et al.
Pageof 5