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
    -
    2019.10
    Tokyo Medical and Dental University, Medical Hospital, Hospital Departments, Department of Radiology, Diagnostic Radiology, Junior Associate Professor

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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 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 )

  • Mori Mio, Fujioka Tomoyuki, Katsuta Leona, Kikuchi Yuka, Oda Goshi, Nakagawa Tsuyoshi, Kitazume Yoshio, Kubota Kazunori, Tateishi Ukihide. Feasibility of new fat suppression for breast MRI using pix2pix JAPANESE JOURNAL OF RADIOLOGY. 2020.07; ( 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 )

  • Adachi M, Fujioka T, Mori M, Kubota K, Kikuchi Y, Xiaotong W, Oyama J, Kimura K, Oda G, Nakagawa T, Uetake H, Tateishi U. Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images. Diagnostics (Basel, Switzerland). 2020.05; 10 (5): ( PubMed, DOI )

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Conference Activities & Talks 【 display / non-display

  • 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

  • Tomoyuki Fujioka. Challenge for distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.. The 28 Annual Meeting of the Japanese Society of Breast Cancer Imaging 2019.02.10

  • T. Fujioka, K. Kubota, H. Okuma, Y. Shirakawa, Y. Yashima, Y. Saida, U. Tateishi. Added value of US elastography for breast masses: comparison between shear- wave and strain elastography by several assessment . The 77th Annual Meeting of the Japan Radiological Society 2018.04.12

  • T. Fujioka, K. Kubota, H. Okuma, Y. Shirakawa, Y. Yashima, Y. Saida, U. Tateishi. Added value of US elastography for breast masses: comparison between shear- wave and strain elastography by several assessment. European Congress of Radiology 2018.02.28 Vienna, Austria

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