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

Hiroki Suyari

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 22, 2002
Nonextensive entropies derived from form invariance of pseudoadditivityHiroki Suyari
Physics in Medicine and Biology|February 21, 2024
Improving respiratory signal prediction with a deep neural network and simple changes to the input and output data formatRyusuke Hirai, Shinichiro Mori, Hiroki Suyari, et al.
Scientific Reports|February 9, 2023
Spatiotemporal forecasting of vertical track alignment with exogenous factorsKatsuya Kosukegawa, Yasukuni Mori, Hiroki Suyari, et al.
Scientific Reports|May 8, 2023
Optimizing 3DCT image registration for interfractional changes in carbon-ion prostate radiotherapyRyusuke Hirai, Shinichiro Mori, Hiroki Suyari, et al.
Medical Physics|December 29, 2025
Non-stationary transformers-based model for predicting liver motion for interleaved two-dimensional cine magnetic resonance imagingSuzune Shimizu, Masato Tsuneda, Kota Abe, et al.
Scientific Reports|August 14, 2021
Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancerYasukuni Mori, Hajime Yokota, Isamu Hoshino, et al.
Physical and Engineering Sciences in Medicine|March 22, 2023
Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatmentToshio Kumakiri, Shinichiro Mori, Yasukuni Mori, et al.
Heart and Vessels|August 8, 2023
Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosisManami Takahashi, Reika Kosuda, Hiroyuki Takaoka, et al.
Medical Physics|June 1, 2021
Development of attenuation correction methods using deep learning in brain-perfusion single-photon emission computed tomographyTaisuke Murata, Hajime Yokota, Ryuhei Yamato, et al.
Frontiers in Neurology|February 4, 2022
Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center StudyYuki Terasaki, Hajime Yokota, Kohei Tashiro, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 22, 2002
Nonextensive entropies derived from form invariance of pseudoadditivityHiroki Suyari
Physics in Medicine and Biology|February 21, 2024
Improving respiratory signal prediction with a deep neural network and simple changes to the input and output data formatRyusuke Hirai, Shinichiro Mori, Hiroki Suyari, et al.
Scientific Reports|February 9, 2023
Spatiotemporal forecasting of vertical track alignment with exogenous factorsKatsuya Kosukegawa, Yasukuni Mori, Hiroki Suyari, et al.
Scientific Reports|May 8, 2023
Optimizing 3DCT image registration for interfractional changes in carbon-ion prostate radiotherapyRyusuke Hirai, Shinichiro Mori, Hiroki Suyari, et al.
Medical Physics|December 29, 2025
Non-stationary transformers-based model for predicting liver motion for interleaved two-dimensional cine magnetic resonance imagingSuzune Shimizu, Masato Tsuneda, Kota Abe, et al.
Scientific Reports|August 14, 2021
Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancerYasukuni Mori, Hajime Yokota, Isamu Hoshino, et al.
Physical and Engineering Sciences in Medicine|March 22, 2023
Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatmentToshio Kumakiri, Shinichiro Mori, Yasukuni Mori, et al.
Heart and Vessels|August 8, 2023
Deep learning-based coronary computed tomography analysis to predict functionally significant coronary artery stenosisManami Takahashi, Reika Kosuda, Hiroyuki Takaoka, et al.
Medical Physics|June 1, 2021
Development of attenuation correction methods using deep learning in brain-perfusion single-photon emission computed tomographyTaisuke Murata, Hajime Yokota, Ryuhei Yamato, et al.
Frontiers in Neurology|February 4, 2022
Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center StudyYuki Terasaki, Hajime Yokota, Kohei Tashiro, et al.
Pageof 2