Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Akitoshi Katsumata

Showing results (1-10 of 81) with videos related to

Pageof 9
Sort By:
The Japanese Dental Science Review|October 9, 2023
Deep learning and artificial intelligence in dental diagnostic imagingAkitoshi Katsumata
Dysphagia|September 8, 2010
Videofluorographic evaluation of mastication and swallowing of Japanese udon noodles and white riceYukihiro Iida, Akitoshi Katsumata, Masami Fujishita
Clinical Oral Implants Research|May 26, 2010
Prospective study to estimate mandibular cancellous bone density using large-volume cone-beam computed tomographyMunetaka Naitoh, Akiko Hirukawa, Akitoshi Katsumata, et al.
The Journal of Oral Implantology|November 4, 2005
Assessment of three-dimensional X-ray images: reconstruction from conventional tomograms, compact computerized tomography images, and multislice helical computerized tomography imagesMunetaka Naitoh, Akitoshi Katsumata, Yukinobu Kubota, et al.
Heliyon|November 24, 2022
Variance of radiographical alveolar bone mineral density by the anatomical morphology of mandibular boneAkitoshi Katsumata, Kiyomi Kohinata, Yuka Esaki, et al.
Clinical Oral Implants Research|March 3, 2009
Evaluation of voxel values in mandibular cancellous bone: relationship between cone-beam computed tomography and multislice helical computed tomographyMunetaka Naitoh, Akiko Hirukawa, Akitoshi Katsumata, et al.
The Journal of Oral Implantology|December 30, 2006
Dimensional accuracy of a binder jet model produced from computerized tomography data for dental implantsMunetaka Naitoh, Yukinobu Kubota, Akitoshi Katsumata, 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.
Oral Radiology|January 4, 2026
Impact of image processing techniques on deep learning-based classification accuracy of cervical vertebral maturationNaoki Yamada, Yukihiro Iida, Wakako Tome, et al.
The International Journal of Oral & Maxillofacial Implants|April 23, 2004
Measurement of mandibles with microfocus x-ray computerized tomography and compact computerized tomography for dental useMunetaka Naitoh, Akitoshi Katsumata, Shogo Mitsuya, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
The Japanese Dental Science Review|October 9, 2023
Deep learning and artificial intelligence in dental diagnostic imagingAkitoshi Katsumata
Dysphagia|September 8, 2010
Videofluorographic evaluation of mastication and swallowing of Japanese udon noodles and white riceYukihiro Iida, Akitoshi Katsumata, Masami Fujishita
Clinical Oral Implants Research|May 26, 2010
Prospective study to estimate mandibular cancellous bone density using large-volume cone-beam computed tomographyMunetaka Naitoh, Akiko Hirukawa, Akitoshi Katsumata, et al.
The Journal of Oral Implantology|November 4, 2005
Assessment of three-dimensional X-ray images: reconstruction from conventional tomograms, compact computerized tomography images, and multislice helical computerized tomography imagesMunetaka Naitoh, Akitoshi Katsumata, Yukinobu Kubota, et al.
Heliyon|November 24, 2022
Variance of radiographical alveolar bone mineral density by the anatomical morphology of mandibular boneAkitoshi Katsumata, Kiyomi Kohinata, Yuka Esaki, et al.
Clinical Oral Implants Research|March 3, 2009
Evaluation of voxel values in mandibular cancellous bone: relationship between cone-beam computed tomography and multislice helical computed tomographyMunetaka Naitoh, Akiko Hirukawa, Akitoshi Katsumata, et al.
The Journal of Oral Implantology|December 30, 2006
Dimensional accuracy of a binder jet model produced from computerized tomography data for dental implantsMunetaka Naitoh, Yukinobu Kubota, Akitoshi Katsumata, 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.
Oral Radiology|January 4, 2026
Impact of image processing techniques on deep learning-based classification accuracy of cervical vertebral maturationNaoki Yamada, Yukihiro Iida, Wakako Tome, et al.
The International Journal of Oral & Maxillofacial Implants|April 23, 2004
Measurement of mandibles with microfocus x-ray computerized tomography and compact computerized tomography for dental useMunetaka Naitoh, Akitoshi Katsumata, Shogo Mitsuya, et al.
Pageof 9