Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Przeglądasz jako GOŚĆ

Wyszukujesz frazę ""Kise, Yoshitaka"" wg kryterium: Autor


Wyświetlanie 1-7 z 7
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.
Pokaż więcej
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 :
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.
Pokaż więcej
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 :
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.
Pokaż więcej
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 :
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.
Pokaż więcej
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.
Pokaż więcej
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.
Pokaż więcej
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 :
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.
Pokaż więcej
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
    Wyświetlanie 1-7 z 7

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies