Rchr
J-GLOBAL ID:202001021180659114   Update date: Oct. 23, 2024

Shimizu Yoichiro

シミズ ヨウイチロウ | Shimizu Yoichiro
Affiliation and department:
Job title: Radiologic Technologist
Research field  (2): Radiology ,  Medical systems
Research keywords  (4): コンピュータ支援診断 ,  深層学習 ,  Image Recognition ,  Medical Image Processing
Research theme for competitive and other funds  (1):
  • 2021 - 2024 肺病変の検出を目的とした胸部単純X線画像と深層学習を組み合わせた差分技術の開発
Papers (8):
  • Hironobu Akimoto, Hidenori Suzuki, Shigeyuki Kan, Masahiro Funaba, Norihiro Nishida, Kazuhiro Fujimoto, Hiroaki Ikeda, Teppei Yonezawa, Kojiro Ikushima, Yoichiro Shimizu, et al. Resting-state functional magnetic resonance imaging indices are related to electrophysiological dysfunction in degenerative cervical myelopathy. Scientific Reports. 2024. 14. 1
  • Yuki Sakai, Keita Takahashi, Yoichiro Shimizu, Emi Ishibashi, Toyoyuki Kato, Junji Morishita. Clinical application of biological fingerprints extracted from averaged chest radiographs and template-matching technique for preventing left-right flipping mistakes in chest radiography. Radiological physics and technology. 2019. 12. 2. 216-223
  • Yoichiro Shimizu, Junji Morishita, Yusuke Matsunobu, Yongsu Yoon, Yasuo Sasaki, Shigehiko Katsuragawa, Hidetake Yabuuchi. Evaluation of the depiction ability of similar subtraction images using digital chest radiographs of different patients. Radiological physics and technology. 2019. 12. 1. 40-45
  • Hitomi Nakamura, Junji Morishita, Yoichiro Shimizu, Yongsu Yoon, Yusuke Matsunobu, Shigehiko Katsuragawa, Hidetake Yabuuchi. Improving image quality around subtle lung nodules by reducing artifacts in similar subtraction imaging. Radiological physics and technology. 2018. 11. 4. 460-466
  • Yuki Sakai, Keita Takahashi, Kensuke Iwase, Yoichiro Shimizu, Akiko Hattori, Toyoyuki Kato. Usefulness of Biological Fingerprints and Template Matching Techniques in Bedside Chest Radiography for Patient Identification and Preventing Filing Mistakes. Japanese Journal of Radiological Technology. 2018. 74. 10. 1154-1162
more...
MISC (4):
  • 酒井 友貴, 高橋 慶多, 清水 陽一郎, 石橋 恵実, 加藤 豊幸, 杜下 淳次. 平均画像から抽出した生体指紋とテンプレートマッチング技術を用いた胸部単純X線画像の左右反転ミス防止に関する研究. 日本放射線技術学会雑誌. 2018. 74. 9. 983-984
  • Y Shimizu, J Morishita, Y Yoon, K Iwase, S Yasumatsu, Y Matsunobu. SU-E-I-75: Development of New Biological Fingerprints for Patient Recognition to Identify Misfiled Images in a PACS Server. Medical Physics. 2015. 42. 6Part6. 3259-3259
  • K Iwase, J Morishita, Y Yoon, Y Matsunobu, Y Shimizu, S Yasumatsu. SU-E-I-76: A New Approach for Evaluating Visibility of Static Image Displayed On Liquid-Crystal Display by Using Detection Time. Medical Physics. 2015. 42. 6Part6. 3259-3259
  • S Yasumatsu, N Tanaka, K Iwase, Y Shimizu, J Morishita. SU-E-I-52: Effect of Various X-Ray Beam Qualities On the Exposure Index. Medical Physics. 2015. 42. 6Part6. 3253-3253
Lectures and oral presentations  (43):
  • 異なる定量評価用シーケンスの T1値 T2値の定量性の検証
    (2024)
  • 3T MR Elastography の撮像パラメーターが測定結果に与える影響
    (第20回中四国医療放射線技術フォーラム 2024)
  • Lower Limits of Iodine Quantification in Dual-Energy CT: Comparisons of Fast Kv-Switching Systems with Deep Learning Reconstruction and a Dual-Source System
    (AAPM 2024 66th Anual Meeting & Exhibition 2024)
  • ガドキセト酸ナトリウム造影剤の注入法の違いによる一過性呼吸困難の発生頻度と画質に与える影響
    (第19回中四国放射線医療技術フォーラム 2023)
  • MRIにおけるDeep Learning Reconstructionを用いた超解像再構成画像のMTF評価
    (第19回中四国放射線医療技術フォーラム 2023)
more...
Education (3):
  • 2016 - 2019 Kyushu University Graduate School of Medical Sciences Department of Health Sciences
  • 2014 - 2016 Kyushu University Graduate School of Medical Sciences Department of Health Sciences
  • 2010 - 2014 Kyushu University School of Medicine Department of Health Sciences
Professional career (1):
  • Ph.D. (Kyushu University)
Work history (1):
  • 2019/04 - 現在 Yamaguchi University Hospital Department of Radiological Technology Radiologic Technologist
Committee career (1):
  • 2024/03 - 現在 Korean Society of Computed Tomographic Technology Editor
Awards (2):
  • 2018/06 - Korean Society of Radiological Science Oral Presentation Award Evaluation of Depiction Ability of Similar Subtraction Imaging
  • 2016/03 - European Congress of Radiology Invest in the Youth An optimum combination of biological fingerprints extracted from edge-enhanced chest radiograph to identify misfiled images in a picture archiving and communication system
Association Membership(s) (5):
日本法医画像研究会 ,  Japanese society for Magnetic Resonance in Medicine ,  医用画像情報学会 ,  日本診療放射線技師会 ,  Japanese Society of Raiological Technology
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page