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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) 2026: 東京大学, 医学部附属病院, 准教授
Affiliation (based on the past Project Information) *help 2023 – 2025: 東京大学, 医学部附属病院, 准教授
2022: 東京大学, 医学部附属病院, 専任講師
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 / Sections That Are Subject to Joint Review: Basic Section90130:Medical systems-related , Basic Section90140:Medical technology assessment-related / Basic Section 90140:Medical technology assessment-related / Radiation science / Medical systems
Except Principal Investigator
Basic Section 52040:Radiological sciences-related
Keywords
Principal Investigator
X線CT / 医用画像処理 / 深層学習 / コンピュータ支援診断 / 異常検知 / 医用画像工学 / 骨疾患 / MRI / 計算解剖学 / 骨転移 … More / コンピュータ支援検出 / 放射線診断学 / 基盤モデル / 放射線画像診断 / 医用画像AI / 人工病変埋め込み / 架空病変生成 / 架空画像生成 / 病変検出AI / 肺癌 / 胸部単純写真 / 架空病変作成 / 架空画像作成 / 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 … More
Except Principal Investigator
Oncology / Deep-learning / Frailty / Computed tomography / Sarcopenia / 画像バイオマーカー / 消化器癌 / 予後予測 / 画像診断 / 内臓脂肪 / 骨格筋量 / 体組成分析 / サルコペニア Less
  • Research Projects

    (8 results)
  • Research Products

    (37 results)
  • Co-Researchers

    (6 People)
  •  Foundation model for all radiological imagesPrincipal Investigator

    • Principal Investigator
      花岡 昇平
    • Project Period (FY)
      2025 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 90130:Medical systems-related
      Basic Section 90140:Medical technology assessment-related
      Sections That Are Subject to Joint Review: Basic Section90130:Medical systems-related , Basic Section90140:Medical technology assessment-related
    • Research Institution
      The University of Tokyo
  •  Automated AI measurement of body composition indices and its ability to predict prognosis of malignant tumors and other diseases in a large Japanese cohort.

    • Principal Investigator
      五ノ井 渉
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 52040:Radiological sciences-related
    • Research Institution
      The University of Tokyo
  •  Automatic creation of a large amount of virtual normal and abnormal medical imagesPrincipal Investigator

    • Principal Investigator
      Hanaoka Shouhei
    • 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 2025 2024 2023 2022 2021 2019 2018 2017 2016 2014 2013 2012

All Journal Article Presentation

  • [Journal Article] Association between sex-specific criteria for visceral obesity and surgical site infection after gastrectomy2025

    • Author(s)
      Shiomi Shinichiro、Gonoi Wataru、Sugawara Kotaro、Taguchi Satoru、Hanaoka Shouhei、Kurokawa Mariko、Akamatsu Nobuhiko、Inui Shohei、Yagi Koichi、Kume Haruki、Abe Osamu、Seto Yasuyuki
    • Journal Title

      Journal of Gastrointestinal Surgery

      Volume: 29 Issue: 2 Pages: 101919-101919

    • DOI

      10.1016/j.gassur.2024.101919

    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Journal Article] Integrated impact of multiple body composition parameters on overall survival in gastrointestinal or genitourinary cancers: A descriptive cohort study2024

    • Author(s)
      Sugawara Kotaro、Taguchi Satoru、Gonoi Wataru、Hanaoka Shouhei、Shiomi Shinichiro、Kishitani Kenjiro、Uemura Yukari、Akamatsu Nobuhiko、Inui Shohei、Tanaka Koji、Yagi Koichi、Kawai Taketo、Nakagawa Tohru、Fukuhara Hiroshi、Abe Osamu、Kume Haruki、Gonzalez Maria Cristina、Prado Carla M.、Seto Yasuyuki
    • Journal Title

      Journal of Parenteral and Enteral Nutrition

      Volume: 48 Issue: 6 Pages: 746-755

    • DOI

      10.1002/jpen.2666

    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Journal Article] Artificial intelligence-based skeletal muscle estimates and outcomes of EUS-guided treatment of pancreatic fluid collections2024

    • Author(s)
      Takenaka M, Gonoi Wataru, Sato T, Saito T, Hanaoka S, Hamada T, Omoto S, Masuda A, Tsujimae M, Iwashita T, Uemura S, Ota S、Shiomi H, Fujisawa T, Takahashi S, Matsubara S, Suda K, Maruta A, Yoshida K, Iwata K, Okuno M, Hayashi N, Mukai T, Isayama H, Yasuda I, Nakai Y
    • Journal Title

      iGIE

      Volume: 3 Issue: 3 Pages: 382-392.e8

    • DOI

      10.1016/j.igie.2024.06.006

    • Data Source
      KAKENHI-PROJECT-24K10831
  • [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] CTにおける骨格筋、皮下脂肪、内臓脂肪の体組成分析に対して造影剤投与が与える影響2024

    • Author(s)
      Nobuhiko Akamatsu, Wataru Gonoi, Shouhei Hanaoka, Shohei Inui, Satoru Taguchi, Kotaro Sugawara, Shinichiro Shiomi, Kenjiro Kishitani, Mariko Kurokawa, Osamu Abe
    • Organizer
      第83回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] An external validation study of the sarcopenic score derived from the height- and body mass index-adjusted CT skeletal muscle area for predicting prognosis in patients with cancer.2024

    • Author(s)
      Mariko Kurokawa, Wataru Gonoi, Satoru Taguchi, Kotaro Sugawara, Shouhei Hanaoka, Kenjiro Kishitani, Shinichiro Shiomi, Yukari Uemura, Nobuhiko Akamatsu, Shohei Inui, Koji Tanaka,, Koichi Yagi, Taketo Kawai, Tohru Nakagawa, Hiroshi Fukuhara, Yasuyuki Seto, Haruki Kume, M. Cristina Gonzalez, Carla M, Prado, Osamu Abe
    • Organizer
      The 60th Autumn Assembly of the Japan Radiological Society
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] 肝定位放射線治療において骨格筋量・皮下脂肪・内臓脂肪が予後に与える影響についての検討2024

    • Author(s)
      片野厚人, 森島康介, 五ノ井渉, 花岡昇平, 黒川真理子, 阿部修, 山下英臣
    • Organizer
      日本放射線腫瘍学会第37回学術大会(JASTRO2024)
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] ASSOCIATION OF DEEP LEARNING-BASED SKELETAL MUSCLE MEASUREMENTS WITH CLINICAL OUTCOMES IN ENDOSCOPIC TREATMENT OF PANCREATIC FLUID COLLECTION: THE WONDERFUL STUDY2024

    • Author(s)
      Takenaka M, Gonoi Wataru, Sato T, Saito T, Hanaoka S, Hamada T, Omoto S, Masuda A, Tsujimae M, Iwashita T, Uemura S, Ota S、Shiomi H, Fujisawa T, Takahashi S, Matsubara S, Suda K, Maruta A, Yoshida K, Iwata K, Okuno M, Hayashi N, Mukai T, Isayama H, Yasuda I, Nakai Y
    • Organizer
      Digestive Disease Week 2024
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] 腰椎L1レベルにおける骨格筋と皮下脂肪の多寡の基準値の設定と癌予後予測における有用性の検討2024

    • Author(s)
      Nobuhiko Akamatsu, Wataru Gonoi, Shouhei Hanaoka, Shohei Inui, Satoru Taguchi, Kotaro Sugawara, Shinichiro Shiomi, Kenjiro Kishitani, Mariko Kurokawa, Osamu Abe
    • Organizer
      第83回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] アジア人がん患者におけるサルコペニア画像診断基準の最適化2024

    • Author(s)
      田口 慧, 菅原 弘太郎, 五ノ井 渉, 花岡 昇平, 塩見 真一郎, 岸谷 憲二郎, 上村 夕香理, 川合 剛人, 中川 徹, 福原 浩, 阿部 修, 瀬戸 泰之, M. Cristina Gonzalez, Carla M. Prado, 久米 春喜
    • Organizer
      第62回日本癌治療学会学術集会
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] 消化器癌および泌尿器癌術前の相対的サルコペニア指標(Zスコア)は有用な予後予測因子である2024

    • Author(s)
      Mariko Kurokawa, Wataru Gonoi, Satoru Taguchi, Kotaro Sugawara, Shouhei Hanaoka, Shohei Inui, Shinichiro Shiomi, Kenjiro Kishitani, Nobuhiko Akamatsu, Osamu Abe
    • Organizer
      第83回日本医学放射線学会総会
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] Leveraging Radiomics to Predict Survival Outcomes in Sarcopenic Patients with Gastrointestinal (GI) and Genitourinary (GU) Cancers2024

    • Author(s)
      Nishta Letchumanan, Shouhei Hanaoka, MD, PhD, Satoru Taguchi, MD, PhD, Kotaro Sugawara, MD, PhD, Wataru Gonoi, MD, PhD, Kenjiro Kishitani, MD, Shinichiro Shiomi, MD, Nobuhiko Akamatsu, MD, Shohei Inui, MD, PhD, Mariko Kurokawa, MD, Koichi Yagi, MD, PhD, Yasuyuki Seto, MD, PhD, Haruki Kume, MD, PhD, Osamu Abe, MD, PhD
    • Organizer
      18th International Conference on Advanced Computing and Analytics (AOCMP2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] 子宮肉腫患者における術前のサルコペニア指標と予後予測能の解析2024

    • Author(s)
      黒川 真理子, 五ノ井 渉, 花岡 昇平, 上原 駿一, 加藤 真義, 豊原 佑典, 鈴木 瑞佳, 高木 康伸, 日下部 美佐子, 塚崎 雄大, 海野 俊之, 曾根 献文, 阿部 修
    • Organizer
      第60回日本医学放射線学会 秋季臨床大会
    • Data Source
      KAKENHI-PROJECT-24K10831
  • [Presentation] 病変を埋め込んだ人工学習データによる異常検知のための新たな損失関数の提案 ~ Normal/Abnormal Contrastive (NAC) loss ~2023

    • Author(s)
      花岡 昇平, 野村 行弘, 柴田 寿一, 竹永 智美, 吉川 健啓, 林 直人, 阿部 修
    • Organizer
      電子情報通信学会 医用画像研究会 / JAMIT frontier
    • Data Source
      KAKENHI-PROJECT-21K12722
  • [Presentation] Automatic measurement of the muscle cross-sectional area on the 1st and 3rd lumbar vertebra levels by two U-nets2023

    • Author(s)
      Hanaoka S., Gonoi W., Inui S., Akamatsu N., Nomura Y., Takenaga T., Miki S., Yoshikawa T.,Hayashi N., Sugawara K., Taguchi S., Kishitani K., Kume H., Kawai T., Nakagawa T., Abe O.
    • Organizer
      Computer Assisted Radiology and Surgery (CARS) 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12722
  • [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
  • 1.  本谷 秀堅 (60282688)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  清水 昭伸 (80262880)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  五ノ井 渉 (60631174)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 12 results
  • 4.  田口 慧 (40625737)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 8 results
  • 5.  濱田 毅 (90723461)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 6.  菅原 弘太郎 (90914812)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 8 results

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