Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Kensuke Shinoda"'
Autor:
Katsuyoshi Ito, Takahiro Yamaguchi, Munemasa Okada, Mayumi Higashi, Etsushi Iida, Teppei Yonezawa, Masahiro Tanabe, Kensuke Shinoda, Matakazu Furukawa
Publikováno v:
Magnetic Resonance Imaging. 80:121-126
To evaluate the feasibility of High-resolution (HR) magnetic resonance imaging (MRI) of the liver using deep learning reconstruction (DLR) based on a deep learning denoising technique compared with standard-resolution (SR) imaging.This retrospective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac94fedc6b925a276bc066d5db12d50
https://doi.org/10.1016/j.mri.2021.05.001
https://doi.org/10.1016/j.mri.2021.05.001
Autor:
Masafumi Kidoh, Kensuke Shinoda, Mika Kitajima, Kenzo Isogawa, Masahito Nambu, Hiroyuki Uetani, Kosuke Morita, Takeshi Nakaura, Machiko Tateishi, Yuichi Yamashita, Yasuyuki Yamashita
Publikováno v:
Magnetic Resonance in Medical Sciences; 2020, Vol. 19 Issue 3, p195-206, 12p
Autor:
Yamashita Yuichi, Kosuke Morita, Mika Kitajima, Hiroyuki Uetani, Kenzo Isogawa, Kensuke Shinoda, Masafumi Kidoh, Yasuyuki Yamashita, Masahito Nambu, Takeshi Nakaura, Machiko Tateishi
Publikováno v:
Magnetic Resonance in Medical Sciences
Purpose: To test whether our proposed denoising approach with deep learning-based reconstruction (dDLR) can effectively denoise brain MR images. Methods: In an initial experimental study, we obtained brain images from five volunteers and added differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a45ef8c65f3a6ddf83a0a860f44d33
https://pubmed.ncbi.nlm.nih.gov/31484849
https://pubmed.ncbi.nlm.nih.gov/31484849
Autor:
Kensuke Shinoda, Masashi Watanabe
Publikováno v:
Journal of Applied Polymer Science. 131
Serrated structures on a micrometer scale were spontaneously formed along the edge of a poly(dimethylsiloxane) (PDMS) disk using the following procedure. First, a drop of PDMS prepolymer was placed on a glass slide, followed by vulcanization. Second,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d31086be17732a729a6ddffe6a44ec9e
https://doi.org/10.1002/app.40767
https://doi.org/10.1002/app.40767
Publikováno v:
Magnetic Resonance in Medicine; Nov2023, Vol. 90 Issue 5, p2033-2051, 19p
Autor:
Matsuo, Kensei, Nakaura, Takeshi, Morita, Kosuke, Uetani, Hiroyuki, Nagayama, Yasunori, Kidoh, Masafumi, Hokamura, Masamichi, Yamashita, Yuichi, Shinoda, Kensuke, Ueda, Mitsuharu, Mukasa, Akitake, Hirai, Toshinori
Publikováno v:
Neuroradiology; Nov2023, Vol. 65 Issue 11, p1619-1629, 11p
Autor:
Hidenori Takeshima
Publikováno v:
Magnetic Resonance in Medical Sciences; 2022, Vol. 21 Issue 4, p553-568, 16p
Autor:
Toshiya Kariyasu, Haruhiko Machida, Sanae Takahashi, Keita Fukushima, Tatsuya Yoshioka, Kenichi Yokoyama, Kariyasu, Toshiya, Machida, Haruhiko, Takahashi, Sanae, Fukushima, Keita, Yoshioka, Tatsuya, Yokoyama, Kenichi
Publikováno v:
Diagnostic & Interventional Radiology; Sep2022, Vol. 28 Issue 5, p470-477, 8p
Publikováno v:
2004 IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS) (IEEE Cat. No.04CH37566); 2004, pxiii-lxxxix, 77p
Publikováno v:
SMC'03 Conference Proceedings 2003 IEEE International Conference on Systems, Man & Cybernetics. Conference Theme - System Security & Assurance (Cat. No.03CH37483); 2003, p4065-4080, 16p