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Takenaga Tomomi  竹永 智美

ORCIDConnect your ORCID iD *help
Researcher Number 80779786
Other IDs
Affiliation (Current) 2023: 東京大学, 医学部附属病院, 特任助教
Affiliation (based on the past Project Information) *help 2017 – 2021: 東京大学, 医学部附属病院, 特任研究員
Review Section/Research Field
Principal Investigator
Medical systems / Medical Physics and Radiological Technology / Basic Section 90130:Medical systems-related
Keywords
Principal Investigator
FC-ResNet / Gd-EOB-DTPA / segmentation / CADe / MRI / 自動検出 / 深層畳み込みニューラルネットワーク / 4D-DCNN / EOB-MRI / CADx
  • Research Projects

    (2 results)
  • Research Products

    (4 results)
  •  EOB-MR画像における肝結節性病変の診断支援の実用化Principal Investigator

    • Principal Investigator
      竹永 智美
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 90130:Medical systems-related
    • Research Institution
      The University of Tokyo
  •  Development of four-dimensional deep convolutional neural network-based nodular liver lesion detection software in Gd-EOB-DTPA-enhanced MRI.Principal Investigator

    • Principal Investigator
      Takenaga Tomomi
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Medical systems
      Medical Physics and Radiological Technology
    • Research Institution
      The University of Tokyo

All 2019 2018 2017

All Journal Article Presentation

  • [Journal Article] Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI2019

    • Author(s)
      Tomomi Takenaga, Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Masaki Murata, Takahiro Nakao, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi & Osamu Abe
    • Journal Title

      International Journal of Computer Assisted Radiology and Surgery

      Volume: 14 Pages: 1259-1266

    • DOI

      10.1007/s11548-019-01935-z

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17K17653
  • [Presentation] FC-ResNetを用いたGd-EOB-DTPA造影MR画像における肝臓セグメンテーション2018

    • Author(s)
      竹永智美
    • Organizer
      第2回人工知能応用医用画像研究会
    • Data Source
      KAKENHI-PROJECT-17K17653
  • [Presentation] A preliminary study of the computerized detection of nodular liver lesion in Gd-EOB-DTPA-enhanced magnetic resonance images with 4D CNN2018

    • Author(s)
      Tomomi Takenaga
    • Organizer
      Computer Assisted Radiology and Surgery(CARS)2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K17653
  • [Presentation] 3D-DCNNを用いたEOB-MR画像における肝結節病変自動検出法の開発2017

    • Author(s)
      竹永智美
    • Organizer
      第36回日本医用画像工学会
    • Data Source
      KAKENHI-PROJECT-17K17653

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