Personnel Information

写真a

KITAZUME Yoshio


Job title

Associate Professor

Birth date

1975

Graduating School 【 display / non-display

  • Gunma University, Faculty of Medicine, 2000.03, Graduated

Graduate School 【 display / non-display

  • Tokyo Medical and Dental University, Doctor's Course, 2007.03, Completed

Campus Career 【 display / non-display

  • 2000.05
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    2001.01
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Senior Resident
  • 2008.10
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    2015.01
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Assistant Professor
  • 2015.02
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    2017.03
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Junior Associate Professor
  • 2015.02
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    2017.03
    Tokyo Medical and Dental University, Graduate School of Medical and Dental Sciences, Medical and Dental Sciences, Advanced Therapeutic Sciences, Diagnostic Radiology and Nuclear Medicine, Junior Associate Professor
  • 2017.04
    -
    2019.04
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Junior Associate Professor

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Published Papers & Misc 【 display / non-display

  • Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Yuka Kikuchi, Leona Katsuta, Mio Adachi, Goshi Oda, Tsuyoshi Nakagawa, Yoshio Kitazume, Ukihide Tateishi. Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks. Diagnostics (Basel). 2019.11; 9 (4): ( PubMed, DOI )

  • Yoshio Kitazume, Tomoyuki Fujioka, Kento Takenaka, Jun Oyama, Kazuo Ohtsuka, Toshimitsu Fujii, Ukihide Tateisi. Crohn Disease: A 5-Point MR Enterocolonography Classification Using Enteroscopic Findings. AJR Am J Roentgenol. 2019.01; 212 (1): 67-76. ( PubMed, DOI )

  • Fujioka Tomoyuki, Katsuta Leona, Kubota Kazunori, Mori Mio, Kikuchi Yuka, Kato Arisa, Oda Goshi, Nakagawa Tsuyoshi, Kitazume Yoshio, Tateishi Ukihide. Classification of breast masses on ultrasound shear wave elastography using convolutional neural networks ULTRASONIC IMAGING. 2020.06; 161734620932609. ( PubMed, DOI )

  • Fujioka T, Kubota K, Mori M, Katsuta L, Kikuchi Y, Kimura K, Kimura M, Adachi M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Virtual Interpolation Images of Tumor Development and Growth on Breast Ultrasound Image Synthesis With Deep Convolutional Generative Adversarial Networks. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine. 2020.06; ( PubMed, DOI )

  • Takenaka K, Kitazume Y, Fujii T, Tsuchiya K, Watanabe M, Ohtsuka K. Objective evaluation for treat to target in Crohn's disease. Journal of gastroenterology. 2020.03; ( PubMed, DOI )

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Conference Activities & Talks 【 display / non-display

  • Yoshio Kitazume, Kento takenaka, Kazuo Ohtsuka. Development of a computer software to quantify bowel motility shown on cine MR imaging by using classical Horn-Schunck approach. ISMRM 27th Annual Meeting & Exhibition 2019.05.16

  • Yoshio Kitazume, Kento Takenaka, Kazuo Ohtsuka, Ukihide Tateishi. Comparison of cine MR imaging quantification of bowel motility with endoscopic findings in Crohn’s disease. European Congress of Radiology 2019 2019.02.27 Vienna, Austria

  • Yoshio Kitazume, Kento Takenaka, Kazuo Ohtsuka, Ukihide Tateishi. Utility of quantitative assessment for bowel motility mapping in Crohn's disease using cine MR imaging. The 46th Annual Meeting of the Japanese Society for Magnetic Resonance in Medicine 2018.09.07 Kanazawa

  • Yoshio kitazume, Yusuke Ogihara, Ukihide Tateishi. Prediction of histological grade of hepatocellular carcinoma using quantitative diffusion-weighted magnetic resonance imaging: a retrospective multi-vendor study. Joint Annual Meeting ISMRM-ERMRMB 2018 2018.06.16 Paris

  • Y. Kitazume, Y. Ogihara, N. Oshima, K. Wakana, A. Takemoto, N. Miyasaka, U. Tateishi. Endometrial cancer: volumetric histogram analysis of apparent diffusion coefficient map for predicting the histological grade. European Congress of Radiology 2018 2018.02.28 Vienna, Austria

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