Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Hirotaka Ikeda"'
Publikováno v:
Precision Chemistry, Vol 1, Iss 2, Pp 100-106 (2023)
Peptide bond formation has drawn more and more attention due to its importance in medicinal chemistry and drug discovery. Using active esters to construct peptide bonds is an indispensable strategy in this field. We herein report a fast and efficient
Externí odkaz:
https://doaj.org/article/96da4db1655a43ca9d26f3d1e4d2af60
Publikováno v:
Medicina, Vol 58, Iss 10, p 1392 (2022)
Background and objectives: Acute cholecystitis causes acute abdominal pain and may necessitate emergency surgery or intensive antibiotic therapy and percutaneous drainage, depending on the patient’s condition. The symptoms of acute cholecystitis in
Externí odkaz:
https://doaj.org/article/7e8160e2dc144d26848e96c51b84f3ba
Autor:
Kazuhiro Murayama, Yoshiharu Ohno, Masao Yui, Kaori Yamamoto, Masato Ikedo, Shigeo Ohba, Satomu Hanamatsu, Akiyoshi Iwase, Hirotaka Ikeda, Yuichi Hirose, Hiroshi Toyama
Publikováno v:
Journal of Computer Assisted Tomography. 47:494-499
Autor:
Yuki, Obama, Yoshiharu, Ohno, Kaori, Yamamoto, Masato, Ikedo, Masao, Yui, Satomu, Hanamatsu, Takahiro, Ueda, Hirotaka, Ikeda, Kazuhiro, Murayama, Hiroshi, Toyama
Publikováno v:
Magnetic Resonance Imaging. 94:56-63
To compare capabilities of compressed sensing (CS) with and without deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) with and without DLR for improving examination time and image quality of shoulder MRI for patients
Autor:
Hayato, Tomita, Kenji, Kuramochi, Atsuko, Fujikawa, Hirotaka, Ikeda, Midori, Komita, Yoshiko, Kurihara, Yasuyuki, Kobayashi, Hidefumi, Mimura
Publikováno v:
Acta Medica Okayama. 76(5):511-517
Iterative reconstruction (IR) improves image quality compared with filtered back projection (FBP). This study investigated the usefulness of model-based IR (forward-projected model-based iterative reconstruction solution [FIRST]) in comparison with F
Publikováno v:
IEEE Transactions on Electron Devices. 69:4206-4211
Autor:
Yoshiharu Ohno, Masao Yui, Daisuke Takenaka, Takeshi Yoshikawa, Hisanobu Koyama, Yoshimori Kassai, Kaori Yamamoto, Yuka Oshima, Nayu Hamabuchi, Satomu Hanamatsu, Yuki Obama, Takahiro Ueda, Hirotaka Ikeda, Hidekazu Hattori, Kazuhiro Murayama, Hiroshi Toyama
Publikováno v:
Journal of Magnetic Resonance Imaging. 57:259-272
Publikováno v:
Cureus.
Autor:
Yoshiharu Ohno, Masao Yui, Kaori Yamamoto, Daisuke Takenaka, Hisanobu Koyama, Hiroyuki Nagata, Takahiro Ueda, Hirotaka Ikeda, Yoshiyuki Ozawa, Hiroshi Toyama, Takeshi Yoshikawa
Publikováno v:
Journal of Magnetic Resonance Imaging.
Autor:
Yoshiharu Ohno, Kota Aoyagi, Kazumasa Arakita, Yohei Doi, Masashi Kondo, Sumi Banno, Kei Kasahara, Taku Ogawa, Hideaki Kato, Ryota Hase, Fumihiro Kashizaki, Koichi Nishi, Tadashi Kamio, Keiko Mitamura, Nobuhiro Ikeda, Atsushi Nakagawa, Yasuko Fujisawa, Akira Taniguchi, Hirotaka Ikeda, Hidekazu Hattori, Kazuhiro Murayama, Hiroshi Toyama
Publikováno v:
Japanese Journal of Radiology. 40:800-813
Purpose Using CT findings from a prospective, randomized, open-label multicenter trial of favipiravir treatment of COVID-19 patients, the purpose of this study was to compare the utility of machine learning (ML)-based algorithm with that of CT-determ