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Tytuł :
Computed tomographic features of synovial chondromatosis of the temporomandibular joint with a few small calcified loose bodies.
Autorzy :
Nishiyama M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan. .
Ogi N; Department of Oral and Maxillofacial Surgery, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Naitoh M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Kuwada C; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Kurita K; Department of Oral and Maxillofacial Surgery, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University School of Dentistry, 2-11 Suemori-dori Chikusa-ku, Nagoya, 464-8651, Japan.
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Źródło :
Oral radiology [Oral Radiol] 2021 Apr; Vol. 37 (2), pp. 236-244. Date of Electronic Publication: 2020 Apr 18.
Typ publikacji :
Journal Article
MeSH Terms :
Chondromatosis, Synovial*/diagnostic imaging
Joint Loose Bodies*/diagnostic imaging
Temporomandibular Joint Disorders*/diagnostic imaging
Humans ; Temporomandibular Joint/diagnostic imaging ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs.
Autorzy :
Kuwana R; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kuwada C; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Muramatsu C; Faculty of Data Science, Shiga University, Shiga, Japan.
Katsumata A; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Fujita H; Department of Electrical, Electronic and Compute Faculty of Engineering, Gifu University, Gifu, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
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Źródło :
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2021 Jan 01; Vol. 50 (1), pp. 20200171. Date of Electronic Publication: 2020 Jul 15.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Maxillary Sinusitis*/diagnostic imaging
Humans ; Maxillary Sinus/diagnostic imaging ; Radiography, Panoramic ; Technology
Czasopismo naukowe
Tytuł :
In reply to the letter to the editor concerning "Reliability of diagnostic imaging for degenerative diseases with osseous changes in the temporomandibular joint with special emphasis on subchondral cyst".
Autorzy :
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan. .
Ogi N; Department of Oral and Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nakayama M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nishiyama M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Naitoh M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kurita K; Department of Oral and Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
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Źródło :
Oral radiology [Oral Radiol] 2021 Jan; Vol. 37 (1), pp. 166.
Typ publikacji :
Letter; Comment
MeSH Terms :
Bone Cysts*/diagnostic imaging
Temporomandibular Joint Disorders*/diagnostic imaging
Diagnostic Imaging ; Humans ; Reproducibility of Results ; Temporomandibular Joint/diagnostic imaging
Opinia redakcyjna
Tytuł :
Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs.
Autorzy :
Kuwada C; Part-time Lecturer, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan. Electronic address: .
Ariji Y; Associate Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Fukuda M; Assistant Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kise Y; Assistant Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Fujita H; Professor, Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University, Gifu, Japan.
Katsumata A; Professor, Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Ariji E; Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
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Źródło :
Oral surgery, oral medicine, oral pathology and oral radiology [Oral Surg Oral Med Oral Pathol Oral Radiol] 2020 Oct; Vol. 130 (4), pp. 464-469. Date of Electronic Publication: 2020 Jun 02.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Tooth, Impacted*/diagnostic imaging
Tooth, Supernumerary*/diagnostic imaging
Humans ; Incisor/diagnostic imaging ; Maxilla/diagnostic imaging ; Radiography, Panoramic
Czasopismo naukowe
Tytuł :
Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study.
Autorzy :
Watanabe H; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan. .
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kuwada C; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Sugita Y; Department of Oral Pathology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
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Źródło :
Oral radiology [Oral Radiol] 2020 Sep 19. Date of Electronic Publication: 2020 Sep 19.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs.
Autorzy :
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan. Electronic address: .
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kuwada C; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Funakoshi T; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Muramatsu C; Faculty of Data Science, Shiga University, Shiga, Japan.
Fujita H; Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Katsumata A; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
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Źródło :
Oral surgery, oral medicine, oral pathology and oral radiology [Oral Surg Oral Med Oral Pathol Oral Radiol] 2020 Sep; Vol. 130 (3), pp. 336-343. Date of Electronic Publication: 2020 May 20.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Molar ; Molar, Third/diagnostic imaging ; Neural Networks, Computer ; Radiography, Panoramic
Czasopismo naukowe
Tytuł :
Reliability of diagnostic imaging for degenerative diseases with osseous changes in the temporomandibular joint with special emphasis on subchondral cyst.
Autorzy :
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan. .
Ogi N; Department of Oral and Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nakayama M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nishiyama M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Naitoh M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kurita K; Department of Oral and Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
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Źródło :
Oral radiology [Oral Radiol] 2020 Apr; Vol. 36 (2), pp. 156-162. Date of Electronic Publication: 2019 Jun 13.
Typ publikacji :
Journal Article
MeSH Terms :
Bone Cysts*/diagnostic imaging
Osteophyte*/diagnostic imaging
Temporomandibular Joint Disorders*/diagnostic imaging
Humans ; Reproducibility of Results ; Temporomandibular Joint
Czasopismo naukowe
Tytuł :
CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification.
Autorzy :
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan. .
Sugita Y; Department of Oral Pathology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Nagao T; Department of Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Nakayama A; Department of Oral and Maxillofacial Surgery, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nishiyama M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Katumata A; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
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Źródło :
Oral radiology [Oral Radiol] 2020 Apr; Vol. 36 (2), pp. 148-155. Date of Electronic Publication: 2019 Jun 13.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Squamous Cell*/diagnostic imaging
Deep Learning*
Mouth Neoplasms*/diagnostic imaging
Extranodal Extension ; Humans ; Lymph Nodes/diagnostic imaging ; Lymphatic Metastasis/diagnostic imaging ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
Usefulness of a deep learning system for diagnosing Sjögren's syndrome using ultrasonography images.
Autorzy :
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Shimizu M; Department of Oral and Maxillofacial Radiology, Kyushu University Hospital, Fukuoka, Japan.
Ikeda H; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Fujii T; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Kuwada C; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Nishiyama M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Funakoshi T; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Fujita H; Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Katsumata A; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Yoshiura K; Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
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Źródło :
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2020 Mar; Vol. 49 (3), pp. 20190348. Date of Electronic Publication: 2019 Dec 11.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Sjogren's Syndrome*/diagnostic imaging
Ultrasonography*
Humans ; Parotid Gland/diagnostic imaging ; Submandibular Gland/diagnostic imaging
Czasopismo naukowe
Tytuł :
Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique.
Autorzy :
Ariji Y; Associate Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan. Electronic address: .
Yanashita Y; Postgraduate student, Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Kutsuna S; Postgraduate student, Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Muramatsu C; Associate Professor, Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan; Currently, Faculty of Data Science, Shiga University, Shiga, Japan.
Fukuda M; Associate Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kise Y; Associate Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Nozawa M; Associate Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Kuwada C; Part-Time lecturer, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Fujita H; Professor, Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Katsumata A; Professor, Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Ariji E; Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
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Źródło :
Oral surgery, oral medicine, oral pathology and oral radiology [Oral Surg Oral Med Oral Pathol Oral Radiol] 2019 Oct; Vol. 128 (4), pp. 424-430. Date of Electronic Publication: 2019 Jun 06.
Typ publikacji :
Journal Article
MeSH Terms :
Ameloblastoma*/diagnostic imaging
Deep Learning*
Odontogenic Cysts*/diagnostic imaging
Radiography, Panoramic*
Humans ; Mandible/diagnostic imaging
Czasopismo naukowe
Tytuł :
Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.
Autorzy :
Murata M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan. .
Ohashi Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kawai T; Department of Oral and Maxillofacial Radiology, School of Life Dentistry at Tokyo, Nippon Dental University, Tokyo, Japan.
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Funakoshi T; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Nozawa M; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
Katsumata A; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Fujita H; Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, 2-11 Suemori-dori, Chikusa-ku, Nagoya, 464-8651, Japan.
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Źródło :
Oral radiology [Oral Radiol] 2019 Sep; Vol. 35 (3), pp. 301-307. Date of Electronic Publication: 2018 Dec 11.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Maxillary Sinusitis*/diagnostic imaging
Neural Networks, Computer*
Radiography, Panoramic*
Area Under Curve ; Humans
Czasopismo naukowe
Tytuł :
Preliminary study on the application of deep learning system to diagnosis of Sjögren's syndrome on CT images.
Autorzy :
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Ikeda H; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Fujii T; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Fukuda M; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
Fujita H; Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Katsumata A; Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi Gakuin University, Nagoya, Japan.
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Źródło :
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2019 Sep; Vol. 48 (6), pp. 20190019. Date of Electronic Publication: 2019 May 22.
Typ publikacji :
Journal Article
MeSH Terms :
Deep Learning*
Sjogren's Syndrome*/diagnostic imaging
Tomography, X-Ray Computed*
Humans ; Parotid Gland ; Sensitivity and Specificity
Czasopismo naukowe
Tytuł :
Contrast-enhanced computed tomography image assessment of cervical lymph node metastasis in patients with oral cancer by using a deep learning system of artificial intelligence.
Autorzy :
Ariji Y; Associate Proffessor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of dentistry, Nagoya, Japan. Electronic address: .
Fukuda M; Instructor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of dentistry, Nagoya, Japan.
Kise Y; Assistant Professor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of dentistry, Nagoya, Japan.
Nozawa M; Instructor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of dentistry, Nagoya, Japan.
Yanashita Y; Postgraduate student, Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Fujita H; Professor, Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University, Gifu, Japan.
Katsumata A; Professor, Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Ariji E; Associate Proffessor, Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of dentistry, Nagoya, Japan.
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Źródło :
Oral surgery, oral medicine, oral pathology and oral radiology [Oral Surg Oral Med Oral Pathol Oral Radiol] 2019 May; Vol. 127 (5), pp. 458-463. Date of Electronic Publication: 2018 Oct 15.
Typ publikacji :
Journal Article
MeSH Terms :
Mouth Neoplasms*
Carcinoma, Squamous Cell ; Contrast Media ; Deep Learning ; Humans ; Lymph Nodes ; Lymphatic Metastasis ; Tomography, X-Ray Computed
Czasopismo naukowe
Tytuł :
A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography.
Autorzy :
Hiraiwa T; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Ariji Y; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Fukuda M; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Kise Y; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Nakata K; 2 Department of Endodontics, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Katsumata A; 3 Department of Oral Radiology, Asahi University School of Dentistry , Mizuho , Japan.
Fujita H; 4 Department of Electrical, Electronic and Computer Faculty of Engineering, Gifu University , Gifu , Japan.
Ariji E; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
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Źródło :
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2019 Mar; Vol. 48 (3), pp. 20180218. Date of Electronic Publication: 2018 Nov 09.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Molar*/diagnostic imaging
Radiography, Panoramic*
Tooth Root*/diagnostic imaging
Adolescent ; Adult ; Cone-Beam Computed Tomography ; Dental Pulp Cavity ; Female ; Humans ; Male ; Mandible ; Middle Aged ; Retrospective Studies ; Young Adult
Czasopismo naukowe
Tytuł :
Use of tungsten sheet as an alternative for reducing the radiation dose behind the digital imaging plate during intra-oral radiography.
Autorzy :
Nagasaka T; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Izumi M; 2 Department of Dentmaxillofacial Diagnosis and Treatment , Kanagawa Dental University , Yokosuka , Japan.
Gotoh K; 3 Division of Radiological Technology, Dental Hospital, Aichi-Gakuin University , Nagoya , Japan.
Kuwada T; 3 Division of Radiological Technology, Dental Hospital, Aichi-Gakuin University , Nagoya , Japan.
Kise Y; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
Katsumata A; 4 Department of Oral Radiology, Asahi University School of Dentistry , Hozumi , Japan.
Ariji E; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry , Nagoya , Japan.
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Źródło :
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2018 Jul 20, pp. 20180161. Date of Electronic Publication: 2018 Jul 20.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Estimation of proton density fat fraction of the salivary gland.
Autorzy :
Chikui T; 1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University , Fukuoka , Japan.
Yamashita Y; 2 Department of Medical Technology, Kyushu University Hospital , Fukuoka , Japan.
Kise Y; 3 Department of Oral and Maxillofacial Radiology, School of Dentistry, Aichi Gakuin University , Nagoya , Japan.
Saito T; 2 Department of Medical Technology, Kyushu University Hospital , Fukuoka , Japan.
Okamura K; 1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University , Fukuoka , Japan.
Yoshiura K; 1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University , Fukuoka , Japan.
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Źródło :
The British journal of radiology [Br J Radiol] 2018 May; Vol. 91 (1085), pp. 20170671. Date of Electronic Publication: 2018 Feb 06.
Typ publikacji :
Journal Article
MeSH Terms :
Adipose Tissue/*diagnostic imaging
Image Processing, Computer-Assisted/*methods
Magnetic Resonance Spectroscopy/*methods
Salivary Glands/*diagnostic imaging
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Protons ; Reproducibility of Results ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Orthodontic tooth separation activates the hypothalamic area in the human brain.
Autorzy :
Ariji Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan. .
Kondo H; Department of Pharmacology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Miyazawa K; Department of Orthodontics, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Tabuchi M; Department of Orthodontics, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Koyama S; Brain and Mind Research Center, Nagoya University, Nagoya, Japan.
Kise Y; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Togari A; Department of Pharmacology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Gotoh S; Department of Orthodontics, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Ariji E; Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
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Źródło :
International journal of oral science [Int J Oral Sci] 2018 Mar 15; Vol. 10 (2), pp. 8. Date of Electronic Publication: 2018 Mar 15.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Brain Mapping/*methods
Hypothalamus/*diagnostic imaging
Magnetic Resonance Imaging/*methods
Medulla Oblongata/*diagnostic imaging
Tooth Movement Techniques/*instrumentation
Healthy Volunteers ; Humans
Czasopismo naukowe
Tytuł :
Clinical usefulness of the mDIXON Quant the method for estimation of the salivary gland fat fraction: comparison with MR spectroscopy.
Autorzy :
Kise Y; 1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.; 2 Department of Oral and Maxillofacial Radiology, School of Dentistry, Aichi Gakuin University, Nisshin, Japan.
Chikui T; 1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
Yamashita Y; 3 Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
Kobayashi K; 3 Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan.
Yoshiura K; 1 Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.
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Źródło :
The British journal of radiology [Br J Radiol] 2017 Aug; Vol. 90 (1077), pp. 20160704. Date of Electronic Publication: 2017 Jul 14.
Typ publikacji :
Comparative Study; Journal Article
MeSH Terms :
Adipose Tissue/*diagnostic imaging
Magnetic Resonance Imaging/*methods
Magnetic Resonance Spectroscopy/*methods
Salivary Glands/*diagnostic imaging
Adult ; Female ; Humans ; Male ; Reproducibility of Results
Czasopismo naukowe
Tytuł :
Effectiveness of imaging modalities for screening IgG4-related dacryoadenitis and sialadenitis (Mikulicz's disease) and for differentiating it from Sjögren's syndrome (SS), with an emphasis on sonography.
Autorzy :
Shimizu M; Department of Oral and Maxillofacial Radiology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Okamura K; Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Kise Y; Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. kise@dpc.agu.ac.jp.; Department of Oral and Maxillofacial Radiology, School of Dentistry, Aichi Gakuin University, 1-100 Kusumoto-cho, Chikusa-ku, Nagoya, 464-8650, Japan. kise@dpc.agu.ac.jp.
Takeshita Y; Department of Oral and Maxillofacial Radiology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Furuhashi H; Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Weerawanich W; Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Moriyama M; Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Ohyama Y; Section of Oral and Maxillofacial Surgery, Division of Maxillofacial Diagnostic and Surgical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Furukawa S; Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Nakamura S; Section of Oral and Maxillofacial Oncology, Division of Maxillofacial Diagnostic and Surgical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
Yoshiura K; Department of Oral and Maxillofacial Radiology, Faculty of Dental Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .
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Źródło :
Arthritis research & therapy [Arthritis Res Ther] 2015 Aug 23; Vol. 17, pp. 223. Date of Electronic Publication: 2015 Aug 23.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Dacryocystitis/*diagnosis
Diagnostic Imaging/*methods
Sialadenitis/*diagnosis
Sjogren's Syndrome/*diagnosis
Ultrasonography/*methods
Dacryocystitis/immunology ; Diagnosis, Differential ; Female ; Fluorodeoxyglucose F18 ; Humans ; Immunoglobulin G/immunology ; Magnetic Resonance Imaging/methods ; Male ; Middle Aged ; Mikulicz' Disease/diagnosis ; Mikulicz' Disease/immunology ; Positron-Emission Tomography/methods ; Reproducibility of Results ; Retrospective Studies ; Sensitivity and Specificity ; Sialadenitis/immunology ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Tytuł :
Reproducibility of maxillofacial landmark identification on three-dimensional cone-beam computed tomography images of patients with mandibular prognathism: Comparative study of a tentative method and traditional cephalometric analysis.
Autorzy :
Fuyamada M; a  Part-time Instructor, Department of Orthodontics, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Shibata M
Nawa H
Yoshida K
Kise Y
Katsumata A
Ariji E
Goto S
Pokaż więcej
Źródło :
The Angle orthodontist [Angle Orthod] 2014 Nov; Vol. 84 (6), pp. 966-73. Date of Electronic Publication: 2014 Apr 21.
Typ publikacji :
Comparative Study; Journal Article
MeSH Terms :
Anatomic Landmarks/*diagnostic imaging
Cone-Beam Computed Tomography/*methods
Facial Bones/*anatomy & histology
Imaging, Three-Dimensional/*methods
Prognathism/*diagnostic imaging
Adult ; Anatomy, Cross-Sectional ; Clinical Competence ; Female ; Humans ; Male ; Mandible/diagnostic imaging ; Mandibular Condyle/diagnostic imaging ; Reproducibility of Results ; Young Adult
Czasopismo naukowe

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