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Kensuke Umehara

Showing results (1-10 of 14) with videos related to

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Nihon Hoshasen Gijutsu Gakkai Zasshi|April 20, 2026
[4. Data Literacy (2): Explaining Data through Graphical Visualization]Kensuke Umehara
Nihon Hoshasen Gijutsu Gakkai Zasshi|May 22, 2020
[1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It]Kensuke Umehara
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
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.
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.
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.
Japanese Journal of Radiology|January 13, 2026
Carbon-Ion radiotherapy alone for inoperable locally advanced Non-Small cell lung cancer: A Japanese National registry study (J-CROS-LUNG)Shuri Aoki, Hiroaki Suefuji, Mio Nakajima, et al.
Radiology|June 28, 2022
Deep Learning-based Post Hoc CT Denoising for Myocardial Delayed EnhancementTatsuya Nishii, Takuma Kobayashi, Hironori Tanaka, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Nihon Hoshasen Gijutsu Gakkai Zasshi|April 20, 2026
[4. Data Literacy (2): Explaining Data through Graphical Visualization]Kensuke Umehara
Nihon Hoshasen Gijutsu Gakkai Zasshi|May 22, 2020
[1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It]Kensuke Umehara
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
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.
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.
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.
Japanese Journal of Radiology|January 13, 2026
Carbon-Ion radiotherapy alone for inoperable locally advanced Non-Small cell lung cancer: A Japanese National registry study (J-CROS-LUNG)Shuri Aoki, Hiroaki Suefuji, Mio Nakajima, et al.
Radiology|June 28, 2022
Deep Learning-based Post Hoc CT Denoising for Myocardial Delayed EnhancementTatsuya Nishii, Takuma Kobayashi, Hironori Tanaka, et al.
Pageof 2