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Shuhei Shibukawa

Showing results (1-10 of 48) with videos related to

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Nihon Hoshasen Gijutsu Gakkai Zasshi|August 23, 2016
Participation/Dispatch Reports on International Conferences in 2016Shu Ikeda, Shuhei Shibukawa, Hiroyuki Takashima
Nihon Hoshasen Gijutsu Gakkai Zasshi|September 23, 2011
[Basic examination of uniformity of image and contrast of multi-transmit system]Shuhei Shibukawa, Tomohiko Horie, Hiroaki Nishio, et al.
Magnetic Resonance Imaging|August 8, 2021
Influence of arm position on proton density fat fraction in the liver using chemical shift-encoded magnetic resonance imagingShingo Watanabe, Shuhei Shibukawa, Tatsuya Hayashi, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|February 12, 2025
Using Deep Learning to Simultaneously Reduce Noise and Motion Artifacts in Brain MR ImagingIsao Muro, Tetsuro Isoiwa, Shuhei Shibukawa, et al.
Radiological Physics and Technology|July 19, 2024
Clinical application of single-shot fast spin-echo sequence for cerebrospinal fluid flow MR imagingTakahito Bessho, Tatsuya Hayashi, Shuhei Shibukawa, et al.
Frontiers in Neuroscience|April 4, 2024
Predicting interindividual response to theta burst stimulation in the lower limb motor cortex using machine learningNatsuki Katagiri, Tatsunori Saho, Shuhei Shibukawa, et al.
Brain & Development|December 6, 2018
Age related signal changes of the pituitary stalk on thin-slice magnetic resonance imaging in infantsTakashi Okazaki, Tetsu Niwa, Keiji Suzuki, et al.
Physics in Medicine and Biology|December 7, 2021
Temperature measurement of intracranial cerebrospinal fluid using second-order motion compensation diffusion tensor imagingShuhei Shibukawa, Tetsu Niwa, Tosiaki Miyati, et al.
Radiological Physics and Technology|April 3, 2026
MRI-based cerebrospinal fluid volumetric indices for predicting tap test response in idiopathic normal pressure hydrocephalusShinya Hasegawa, Daisuke Yoshimaru, Norio Hayashi, et al.
Magma (New York, N.Y.)|April 21, 2026
Whole-brain connectome analysis for elucidating specific structural neural networks in idiopathic normal-pressure hydrocephalusShinya Hasegawa, Daisuke Yoshimaru, Norio Hayashi, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 23, 2016
Participation/Dispatch Reports on International Conferences in 2016Shu Ikeda, Shuhei Shibukawa, Hiroyuki Takashima
Nihon Hoshasen Gijutsu Gakkai Zasshi|September 23, 2011
[Basic examination of uniformity of image and contrast of multi-transmit system]Shuhei Shibukawa, Tomohiko Horie, Hiroaki Nishio, et al.
Magnetic Resonance Imaging|August 8, 2021
Influence of arm position on proton density fat fraction in the liver using chemical shift-encoded magnetic resonance imagingShingo Watanabe, Shuhei Shibukawa, Tatsuya Hayashi, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|February 12, 2025
Using Deep Learning to Simultaneously Reduce Noise and Motion Artifacts in Brain MR ImagingIsao Muro, Tetsuro Isoiwa, Shuhei Shibukawa, et al.
Radiological Physics and Technology|July 19, 2024
Clinical application of single-shot fast spin-echo sequence for cerebrospinal fluid flow MR imagingTakahito Bessho, Tatsuya Hayashi, Shuhei Shibukawa, et al.
Frontiers in Neuroscience|April 4, 2024
Predicting interindividual response to theta burst stimulation in the lower limb motor cortex using machine learningNatsuki Katagiri, Tatsunori Saho, Shuhei Shibukawa, et al.
Brain & Development|December 6, 2018
Age related signal changes of the pituitary stalk on thin-slice magnetic resonance imaging in infantsTakashi Okazaki, Tetsu Niwa, Keiji Suzuki, et al.
Physics in Medicine and Biology|December 7, 2021
Temperature measurement of intracranial cerebrospinal fluid using second-order motion compensation diffusion tensor imagingShuhei Shibukawa, Tetsu Niwa, Tosiaki Miyati, et al.
Radiological Physics and Technology|April 3, 2026
MRI-based cerebrospinal fluid volumetric indices for predicting tap test response in idiopathic normal pressure hydrocephalusShinya Hasegawa, Daisuke Yoshimaru, Norio Hayashi, et al.
Magma (New York, N.Y.)|April 21, 2026
Whole-brain connectome analysis for elucidating specific structural neural networks in idiopathic normal-pressure hydrocephalusShinya Hasegawa, Daisuke Yoshimaru, Norio Hayashi, et al.
Pageof 5