Takenaga Tomomi 竹永智美

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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