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HANAOKA Shouhei  花岡 昇平

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Hanaoka Shouhei  花岡 昇平

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Researcher Number 80631382
Other IDs
Affiliation (Current) 2023: 東京大学, 医学部附属病院, 講師
Affiliation (based on the past Project Information) *help 2020 – 2021: 東京大学, 医学部附属病院, 講師
2018 – 2019: 東京大学, 医学部附属病院, 助教
2017: 東京大学, 医学部附属病院, 特任講師
2015 – 2016: 東京大学, 医学部附属病院, 助教
2012 – 2013: 東京大学, 医学部附属病院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 90130:Medical systems-related / Science and Engineering / Radiation science / Medical systems
Keywords
Principal Investigator
X線CT / 医用画像処理 / 深層学習 / 異常検知 / 医用画像工学 / 骨疾患 / MRI / 計算解剖学 / コンピュータ支援診断 / 骨転移 … More / コンピュータ支援検出 / 放射線診断学 / 架空画像生成 / 肺癌 / 胸部単純写真 / ディープラーニング / 時間差分 / 画像 / 解剖学 / 放射線 / 教師なし学習 / PET / 解剖学的ランドマーク / 多元計算解剖学 / セグメンテーション / 転移性骨腫瘍 / 悪性腫瘍骨転移 / 医用画像解析 / 悪性腫瘍 / コンピュータ支援画像診断 / 画像診断システム Less
  • Research Projects

    (6 results)
  • Research Products

    (23 results)
  •  Automatic creation of a large amount of virtual normal and abnormal medical imagesPrincipal Investigator

    • Principal Investigator
      花岡 昇平
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 90130:Medical systems-related
    • Research Institution
      The University of Tokyo
  •  development of bony lesion detection system for CT images by unsupervised deep learningPrincipal Investigator

    • Principal Investigator
      Hanaoka Shouhei
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 90130:Medical systems-related
    • Research Institution
      The University of Tokyo
  •  Development of local appearance model of normal organs by DCNNPrincipal Investigator

    • Principal Investigator
      花岡 昇平
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      The University of Tokyo
  •  development of bony lesion detection system for CT images and its clinical applicationPrincipal Investigator

    • Principal Investigator
      Hanaoka Shouhei
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Radiation science
    • Research Institution
      The University of Tokyo
  •  多様な画像データベースからの解剖学的ランドマーク点自動定義アルゴリズムの開発Principal Investigator

    • Principal Investigator
      花岡 昇平
    • Project Period (FY)
      2015 – 2016
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      The University of Tokyo
  •  Development of automatic detection application for bone metastases in X-ray CT imagesPrincipal Investigator

    • Principal Investigator
      HANAOKA Shouhei
    • Project Period (FY)
      2012 – 2013
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Research Field
      Medical systems
    • Research Institution
      The University of Tokyo

All 2022 2021 2019 2018 2017 2016 2014 2013 2012

All Journal Article Presentation

  • [Journal Article] Unsupervised Deep Anomaly Detection in Chest Radiographs2021

    • Author(s)
      Nakao Takahiro、Hanaoka Shouhei、Nomura Yukihiro、Murata Masaki、Takenaga Tomomi、Miki Soichiro、Watadani Takeyuki、Yoshikawa Takeharu、Hayashi Naoto、Abe Osamu
    • Journal Title

      Journal of Digital Imaging

      Volume: n/a Issue: 2 Pages: 418-427

    • DOI

      10.1007/s10278-020-00413-2

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K12095, KAKENHI-PROJECT-18K12096
  • [Journal Article] Clinical usefulness of temporal subtraction CT in detecting vertebral bone metastases2019

    • Author(s)
      Hoshiai Sodai、Masumoto Tomohiko、Hanaoka Shouhei、Nomura Yukihiro、Mori Kensaku、Hara Tadashi、Saida Tsukasa、Okamoto Yoshikazu、Minami Manabu
    • Journal Title

      European Journal of Radiology

      Volume: 118 Pages: 175-180

    • DOI

      10.1016/j.ejrad.2019.07.024

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12095
  • [Journal Article] HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules2019

    • Author(s)
      Hanaoka Shouhei、Nomura Yukihiro、Takenaga Tomomi、Murata Masaki、Nakao Takahiro、Miki Soichiro、Yoshikawa Takeharu、Hayashi Naoto、Abe Osamu、Shimizu Akinobu
    • Journal Title

      International Journal of Computer Assisted Radiology and Surgery

      Volume: epub ahead Issue: 12 Pages: 2095-2107

    • DOI

      10.1007/s11548-019-01942-0

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12095, KAKENHI-PUBLICLY-17H05282, KAKENHI-PLANNED-26108002
  • [Journal Article] Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images2017

    • Author(s)
      Hanaoka S, Masutani Y, Nemoto M, Nomura Y, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Shimizu A.
    • Journal Title

      International Journal of Computer Assisted Radiology and Surgery

      Volume: 12(3) Issue: 3 Pages: 413-430

    • DOI

      10.1007/s11548-016-1507-z

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PUBLICLY-15H01108, KAKENHI-ORGANIZER-26108001, KAKENHI-PLANNED-26108002, KAKENHI-PROJECT-15K19775, KAKENHI-INTERNATIONAL-15K21716
  • [Journal Article] Automatic detection of vertebral number abnormalities in body CT images2017

    • Author(s)
      Hanaoka S, Nakano Y, Nemoto M, Nomura Y, Takenaga T, Miki S, Yoshikawa T, Hayashi N, Masutani Y, Shimizu A
    • Journal Title

      International Journal of Computer Assisted Radiology and Surgery

      Volume: 印刷中 Issue: 5 Pages: 719-732

    • DOI

      10.1007/s11548-016-1516-y

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PUBLICLY-15H01108, KAKENHI-ORGANIZER-26108001, KAKENHI-PROJECT-15K19775, KAKENHI-PLANNED-26108002
  • [Presentation] Artificial chest X-ray image creation with simulated lung nodules by Glow algorithm2022

    • Author(s)
      Hanaoka S., Nomura Y., Hayashi N., Shibata H., Nakao T., Takenaga T., Abe O.
    • Organizer
      Computer Assisted Radiology and Surgery (CARS) 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12722
  • [Presentation] Development of temporal subtraction CT images using deep learning to detect vertebral bone metastases2021

    • Author(s)
      星合壮大、花岡昇平、野村行弘、他
    • Organizer
      第80回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-18K12095
  • [Presentation] Residual network-based unsupervised temporal image subtraction for highlighting bone metastases2018

    • Author(s)
      Shouhei Hanaoka
    • Organizer
      CARS 2018, Berlin, 18th May, 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12095
  • [Presentation] 胸部FDG-PETCT画像におけるdeep learningを用いた異常検知2018

    • Author(s)
      花岡 昇平
    • Organizer
      第1回日本医用画像人工知能研究会学術集会
    • Data Source
      KAKENHI-PUBLICLY-17H05282
  • [Presentation] A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes2018

    • Author(s)
      Sato D, Hanaoka S, Nomura Y, Takenaga T, Miki S, Yoshikawa T, Hayashi N, Abe O
    • Organizer
      SPIE Medical Imaging 2018, Houston, TX, USA, February 11-15, 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H05282
  • [Presentation] Residual network-based unsupervised temporal image subtraction for highlighting bone metastases2018

    • Author(s)
      S. Hanaoka, T. Masumoto, S. Hoshiai, Y. Nomura, T. Takenaga, M. Murata, S. Miki, T. Yoshikawa, N. Hayashi, O. Abe
    • Organizer
      CARS 2018 Computer Assisted Radiology and Surgery. June 20 - 23, 2018, Hotel NH Collection Friedrichstrasse, Berlin, Germany
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K19775
  • [Presentation] Residual network-based unsupervised temporal image subtraction for highlighting bone metastases2018

    • Author(s)
      Shouhei Hanaoka
    • Organizer
      CARS 2018, Berlin, 18th May, 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H05282
  • [Presentation] Fully automatic definition of anatomical landmarks in medical images: a feasibility study2016

    • Author(s)
      Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, et al.
    • Organizer
      CARS (computer assisted radiology and surgery) 2016, Heidelberg, Germany
    • Place of Presentation
      Heidelberg, Germany
    • Year and Date
      2016-06-21
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-15H01108
  • [Presentation] Fully automatic definition of anatomical landmarks in medical images: a feasibility study2016

    • Author(s)
      Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, et al.
    • Organizer
      CARS (computer assisted radiology and surgery) 2016
    • Place of Presentation
      Heidelberg, Germany
    • Year and Date
      2016-06-21
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K19775
  • [Presentation] Fully automatic definition of anatomical landmarks in medical images: a feasibility study2016

    • Author(s)
      Hanaoka S, Nomura Y, Nemoto M, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Shimizu A
    • Organizer
      Computer Assisted Radiology and Surgery 2016
    • Place of Presentation
      Heidelberg, Germany
    • Year and Date
      2016-06-21
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K19775
  • [Presentation] Fully automatic definition of anatomical landmarks in medical images: a feasibility study2016

    • Author(s)
      Hanaoka S, Nomura Y, Nemoto M, Miki S, Yoshikawa T, Hayashi N, Ohtomo K, Shimizu A
    • Organizer
      Computer assisted radiology and surgery 2016
    • Place of Presentation
      Heidelberg, Germany
    • Year and Date
      2016-06-22
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-15H01108
  • [Presentation] Semiautomatic segmentation of whole-spinal vertebrae in CT volumes by multi-atlas method : accuracy improvement by using anatomical landmark position information2014

    • Author(s)
      S Hanaoka, Y Masutani, M Nemoto, Y Nomura, S Miki, T Yoshikawa, N Hayashi, and K Ohtomo
    • Organizer
      Computer assisted radiol- ogy and surgery
    • Place of Presentation
      Fukuoka, Japan (accepted)
    • Year and Date
      2014-06-27
    • Data Source
      KAKENHI-PROJECT-24800017
  • [Presentation] Semiautomatic segmentation of whole-spinal vertebrae in CT volumes by multi-atlas method: accuracy improvement by using anatomical landmark position information2014

    • Author(s)
      Shouhei Hanaoka, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani
    • Organizer
      Computer assisted radiology and surgery 2014
    • Place of Presentation
      福岡コンベンションセンター
    • Data Source
      KAKENHI-PROJECT-24800017
  • [Presentation] Automated detection of anomalous spinal segmenta- tions : A feasibility study by using 300 CT datasets2014

    • Author(s)
      Y Nakano, S Hanaoka, M Nemoto, Y Masutani, N Hayashi, and K Ohtomo
    • Organizer
      The 73rd annual meeting of the Japan Radiological Society
    • Place of Presentation
      Yokohama, Japan
    • Year and Date
      2014-04-12
    • Data Source
      KAKENHI-PROJECT-24800017
  • [Presentation] Sparse Gaussian graphical model of spatial distribution of ana- tomical landmarks–whole torso model building with training datasets of partial imaging ranges2013

    • Author(s)
      S Hanaoka, Y Masutani, M Nemoto, Y Nomura, S Miki, T Yoshikawa, N Hayashi, and K Ohtomo
    • Organizer
      Fourth MICAI workshop on Mathematical Founadtions of Computational Anatomy (MFCA)
    • Place of Presentation
      Nagoya, Japan
    • Year and Date
      2013-09-22
    • Data Source
      KAKENHI-PROJECT-24800017
  • [Presentation] A multiple anatomical landmark detection system for body CT images2013

    • Author(s)
      S Hanaoka, M Nemoto, Y Nomura, S Miki, Yoshikawa, N Hayashi, K Ohtomo, and Y Masutani
    • Organizer
      First International Workshop on Bioimage Recognition (BIR)
    • Place of Presentation
      Matsuyama, Japan
    • Year and Date
      2013-12-05
    • Data Source
      KAKENHI-PROJECT-24800017
  • [Presentation] A multiple anatomical landmark detection system for body CT images2013

    • Author(s)
      Shouhei Hanaoka, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo, Yoshitaka Masutani
    • Organizer
      1st International Workshop on BioImage Recognition
    • Place of Presentation
      松山市ひめぎんホール
    • Data Source
      KAKENHI-PROJECT-24800017
  • [Presentation] Automatic categorization of anatomical landmark-local appearances based on diffeomorphic emons and spectral clustering for constructing detector ensembles2012

    • Author(s)
      Shouhei Hanaoka
    • Organizer
      International conference on medical image computing and computer assited intervention (MICCAI) 2012, Octover 2012, Nice, France
    • Place of Presentation
      Nice, France
    • Data Source
      KAKENHI-PROJECT-24800017

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