Works by Masato Ikedo

Results: 10
    1

    Pulmonary MRI with ultra-short TE using single- and dual-echo methods: comparison of capability for quantitative differentiation of non- or minimally invasive adenocarcinomas from other lung cancers with that of standard-dose thin-section CT.

    Published in:
    European Radiology, 2024, v. 34, n. 2, p. 1065, doi. 10.1007/s00330-023-10105-4
    By:
    • Ohno, Yoshiharu;
    • Yui, Masao;
    • Yamamoto, Kaori;
    • Ikedo, Masato;
    • Oshima, Yuka;
    • Hamabuchi, Nayu;
    • Hanamatsu, Satomu;
    • Nagata, Hiroyuki;
    • Ueda, Takahiro;
    • Ikeda, Hirotaka;
    • Takenaka, Daisuke;
    • Yoshikawa, Takeshi;
    • Ozawa, Yoshiyuki;
    • Toyama, Hiroshi
    Publication type:
    Article
    2

    Comparison of utility of deep learning reconstruction on 3D MRCPs obtained with three different k-space data acquisitions in patients with IPMN.

    Published in:
    European Radiology, 2022, v. 32, n. 10, p. 6658, doi. 10.1007/s00330-022-08877-2
    By:
    • Matsuyama, Takahiro;
    • Ohno, Yoshiharu;
    • Yamamoto, Kaori;
    • Ikedo, Masato;
    • Yui, Masao;
    • Furuta, Minami;
    • Fujisawa, Reina;
    • Hanamatsu, Satomu;
    • Nagata, Hiroyuki;
    • Ueda, Takahiro;
    • Ikeda, Hirotaka;
    • Takeda, Saki;
    • Iwase, Akiyoshi;
    • Fukuba, Takashi;
    • Akamatsu, Hokuto;
    • Hanaoka, Ryota;
    • Kato, Ryoichi;
    • Murayama, Kazuhiro;
    • Toyama, Hiroshi
    Publication type:
    Article
    3
    4
    5

    Deep Learning Reconstruction for DWIs by EPI and FASE Sequences for Head and Neck Tumors.

    Published in:
    Cancers, 2024, v. 16, n. 9, p. 1714, doi. 10.3390/cancers16091714
    By:
    • Ikeda, Hirotaka;
    • Ohno, Yoshiharu;
    • Yamamoto, Kaori;
    • Murayama, Kazuhiro;
    • Ikedo, Masato;
    • Yui, Masao;
    • Kumazawa, Yunosuke;
    • Shimamura, Yurika;
    • Takagi, Yui;
    • Nakagaki, Yuhei;
    • Hanamatsu, Satomu;
    • Obama, Yuki;
    • Ueda, Takahiro;
    • Nagata, Hiroyuki;
    • Ozawa, Yoshiyuki;
    • Iwase, Akiyoshi;
    • Toyama, Hiroshi
    Publication type:
    Article
    6
    7
    8

    Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

    Published in:
    Magnetic Resonance in Medical Sciences, 2024, v. 23, n. 4, p. 487, doi. 10.2463/mrms.mp.2023-0068
    By:
    • Daisuke Takenaka;
    • Yoshiyuki Ozawa;
    • Kaori Yamamoto;
    • Maiko Shinohara;
    • Masato Ikedo;
    • Masao Yui;
    • Yuka Oshima;
    • Nayu Hamabuchi;
    • Hiroyuki Nagata;
    • Takahiro Ueda;
    • Hirotaka Ikeda;
    • Akiyoshi Iwase;
    • Takeshi Yoshikawa;
    • Hiroshi Toyama;
    • Yoshiharu Ohno
    Publication type:
    Article
    9
    10