Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Journal of Digital Imaging|October 20, 2017
Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CTKensuke Umehara, Junko Ota, Takayuki Ishida
The Science of the Total Environment|March 19, 2021
Effect of the COVID-19 pandemic on heatstroke-related ambulance dispatch in the 47 prefectures of JapanKoya Hatakeyama, Junko Ota, Yoshiko Takahashi, et al.
BMC Oral Health|December 31, 2013
Dental health behavior of parents of children using non-fluoride toothpaste: a cross-sectional studyJunko Ota, Tatsuo Yamamoto, Yuichi Ando, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|December 8, 2022
Deep learning-based noise reduction for coronary CT angiography: using four-dimensional noise-reduction images as the ground truthTakuma Kobayashi, Tatsuya Nishii, Kensuke Umehara, et al.
Scientific Reports|June 20, 2022
Super-resolution generative adversarial networks with static T2*WI-based subject-specific learning to improve spatial difference sensitivity in fMRI activationJunko Ota, Kensuke Umehara, Jeff Kershaw, et al.
Brain Connectivity|August 13, 2024
Comparison of Resting-State Functional Connectivity Between Generalized Anxiety Disorder and Social Anxiety Disorder: Differences in the Nucleus Accumbens and Thalamus NetworkTomomi Nagano, Kohei Kurita, Tokiko Yoshida, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 14, 2018
Deep Learning Electronic Cleansing for Single- and Dual-Energy CT ColonographyRie Tachibana, Janne J Näppi, Junko Ota, et al.
Medicine|November 21, 2020
Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural networkTomofumi Misaka, Nobuyuki Asato, Yukihiko Ono, et al.
The International Journal of Cardiovascular Imaging|April 23, 2025
Deep learning-based post hoc denoising for 3D volume-rendered cardiac CT in mitral valve prolapseTatsuya Nishii, Tomoro Morikawa, Hiroki Nakajima, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|February 4, 2022
Generative adversarial network-based post-processed image super-resolution technology for accelerating brain MRI: comparison with compressed sensingWataru Ueki, Tatsuya Nishii, Kensuke Umehara, et al.
Pageof 2