Personnel Information

写真a

Fujioka Tomoyuki


Job title

Junior Associate Professor

Birth date

1982

Laboratory Address

1-5-45, Yushima, Bunkyo-ku, Tokyo

Laboratory Phone number

+81-3-5803-5132

Laboratory Fax number

+81-3-5803-0114

Mail Address

The inquiry by e-mail is 《here

Homepage URL

http://www.tmd.ac.jp/med/mrad/mrad.html

Research Areas, Keywords

Radiology, Diagnostic imaging, Artificial intelligence

Graduating School 【 display / non-display

  • University of Tsukuba, 2008.03, Graduated

Graduate School 【 display / non-display

  • Tokyo Medical and Dental University, Doctor's Course, 2014.09, Completed

Campus Career 【 display / non-display

  • 2014.04
    -
    2015.01
    Tokyo Medical and Dental University, Graduate School of Medical and Dental Sciences, Medical and Dental Sciences, Advanced Therapeutic Sciences, Diagnostic Radiology and Nuclear Medicine, Senior Resident
  • 2015.02
    -
    2019.03
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Assistant Professor
  • 2019.04
    -
    2019.06
    Tokyo Medical and Dental University, Graduate School of Medical and Dental Sciences, Medical and Dental Sciences, Advanced Therapeutic Sciences, Diagnostic Radiology and Nuclear Medicine, Assistant Professor
  • 2019.06
    -
    Now
    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
  • 2019.07
    -
    Now
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Junior Associate Professor

External Career 【 display / non-display

  • 2015.04
    -
    2016.03
    , Visiting Lecturer

Research Areas 【 display / non-display

  • Radiation science

Qualification Acquired 【 display / non-display

  • Doctor

 

Published Papers & Misc 【 display / non-display

  • Fujioka Tomoyuki, Yashima Yuka, Oyama Jun, Mori Mio, Kubota Kazunori, Katsuta Leona, Kimura Koichiro, Yamaga Emi, Oda Goshi, Nakagawa Tsuyoshi, Kitazume Yoshio, Tateishi Ukihide. Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging MAGNETIC RESONANCE IMAGING. 2021.01; 75 1-8. ( DOI )

  • Fujioka T, Mori M, Kubota K, Oyama J, Yamaga E, Yashima Y, Katsuta L, Nomura K, Nara M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review. Diagnostics (Basel, Switzerland). 2020.12; 10 (12): ( PubMed, DOI )

  • Horii T, Fujioka T, Takahashi M, Mori M, Tsuchiya J, Yamaga E, Yamada H, Kimura M, Kishino M, Tateishi U. Late-onset pneumothorax in a COVID-19 patient treated with ventilation and ECMO: A case report and literature review. Radiology case reports. 2020.09; ( PubMed, DOI )

  • Fujioka T, Takahashi M, Mori M, Tsuchiya J, Yamaga E, Horii T, Yamada H, Kimura M, Kimura K, Kitazume Y, Kishino M, Tateishi U. Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19. Diagnostics (Basel, Switzerland). 2020.08; 10 (9): ( PubMed, DOI )

  • Fujioka T, Kubota K, Mori M, Kikuchi Y, Katsuta L, Kimura M, Yamaga E, Adachi M, Oda G, Nakagawa T, Kitazume Y, Tateishi U. Efficient Anomaly Detection with Generative Adversarial Network for Breast Ultrasound Imaging. Diagnostics (Basel, Switzerland). 2020.07; 10 (7): ( PubMed, DOI )

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Conference Activities & Talks 【 display / non-display

  • 藤岡 友之, 久保田 一徳, 森 美央, 菊池 夕絵, 勝田 玲於奈, 足立 未央, 小田 剛史, 中川 剛士, 立石 宇貴秀. 敵対的生成ネットワークを用いた乳房超音波画像における異常検出の有用性の検証. 日本乳癌学会総会プログラム抄録集 2020.10.01

  • Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Yuka Yashima, Leona Katsuta, Mio Adachi, Goshi Oda, Tsuyoshi Nakagawa, Ukihide Tateishi. Initial Experience of Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks. EUROPEAN CONGRESS OF RADIOLOGY 2020 2020.07 Vienna, Austria

  • 藤岡友之、森美央、久保田一徳、菊池夕絵、勝田玲於奈、木村允己、北詰良雄、立石宇貴秀. 畳み込み敵対的生成ネットワーク(DCGAN)による乳腺超音波の画像生成の挑戦. 第79回日本医学放射線学会総会 2020.05

  • Tomoyuki Fujioka, Kazunori Kubota, Mio Mori, Yuka Kikuchi, Kyoko Nomura, Leona Katsusta, Ukihide Tateishi . Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network. 2019.04.12 Yokohama

  • T. Fujioka, K. Kubota, M. Mori, K. Nomura, Y. Yashima, L. Katsuta, U. Tateishi. The technique of how to approach MR detected suspicious breast lesions. European Congress of Radiology 2019 2019.03.01

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