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UENO Junji  上野 淳二

ORCIDConnect your ORCID iD *help
… Alternative Names

上野 淳二  ウエノ ジュンジ

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Researcher Number 60116788
Other IDs
External Links
Affiliation (based on the past Project Information) *help 2019 – 2020: 徳島大学, 大学院医歯薬学研究部(医学域), 非常勤講師
2018: 徳島大学, 大学院医歯薬学研究部(医学域), 教授
2016 – 2017: 徳島大学, 大学院医歯薬学研究部(医学系), 教授
2015: 徳島大学, 大学院医歯薬学研究部, 教授
2012 – 2014: 徳島大学, ヘルスバイオサイエンス研究部, 教授 … More
2013: 徳島大学, 大学院ヘルスバイオサイエンス研究部, 教授
2009 – 2011: The University of Tokushima, 大学院・ヘルスバイオサイエンス研究部, 教授
2006: 徳島大学, 医学部, 教授
2002 – 2004: 徳島大学, 医学部, 教授 Less
Review Section/Research Field
Principal Investigator
System engineering / Control engineering/System engineering
Except Principal Investigator
Science and Engineering / Basic Section 21040:Control and system engineering-related / Science and Engineering / Radiation science
Keywords
Principal Investigator
GMDH / X-ray CT image / ニューラルネットワーク / 医用画像診断 / マルチスライスCT / コンピュータ支援診断 / 人工ニューラルネットワーク / MDCT / CAD / MDCT … More / GMDH / Neural networks / Medical image recognition / 医用画像認識 / 人工知能技術 / 肝臓癌 / CT / システム情報処理 / 知識工学 / システム情報(知識)処理 … More
Except Principal Investigator
骨粗鬆症 / 計算解剖学 / 感性工学 / 医用画像診断 / GMDH型人工知能技術 / 医用画像認識 / 深層学習 / Lung・heart・bone diseases / Multi-organ, multi-disease / Image database / Anatomical classification / Intelligent CAD / 画像処理 / 検出と分類 / コンピュータ支援診断 / 3次元CT画像 / 計算機支援診断 / 冠動脈石灰化 / 肺気腫 / 鑑別 / 検出 / 肺がん / マルチスライスCT / デジタル診断環境 / 検出・診断アルゴリズム / 知的CADシステム / 胸部3次元CT画像 / 大規模症例画像データベース / 解剖学的分類 / 肺疾患・心血管疾患・骨疾患 / 多臓器・多疾患 / 画像データベース / 解剖学の分類 / 知的CAD / radiation dosimetry / radiation skin injury / Fluoroscopy / IV1Z (interventional radiology) / radiation exposure to patients / 線量測定 / 放射線皮膚障害 / X線透視 / IVR / 医療被曝 / マルチモダリティ画像データベース / 計算解剖モデル / がん(肺がん、肝がん、膵臓がん、大腸がん) / がん(肺がん、肝がん、膵臓がん、大腸がん) / 心血管・リンパ節疾患 / 慢性閉塞疾患(COPD) / がん(肺がん、肝がん、大腸がん) / コンピュータ支援診断システム / 統計数理モデル / モデリング / 臓器構造 / 手術支援 / 診断支援 / 画像理解 / 画像認識 / 診断・手術支援 / 臓器モデル / 臓器構造理解 / 臓器認識 / 医用画像 Less
  • Research Projects

    (9 results)
  • Research Products

    (69 results)
  • Co-Researchers

    (40 People)
  •  Application of deep learning and GMFH-type neural network for medical image diagnosis and affective engineering

    • Principal Investigator
      TAKAO Shoichiro
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 21040:Control and system engineering-related
    • Research Institution
      The University of Tokushima
  •  Medical image analysis of abdominal X-ray CT images by hybrid deep neural network of deep logistic GMDH-type neural network and convolutional neural networkPrincipal Investigator

    • Principal Investigator
      UENO Junji
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Control engineering/System engineering
    • Research Institution
      The University of Tokushima
  •  Abdominal CT image analysis and computa assisted diagnonsis with new artificial intelligencePrincipal Investigator

    • Principal Investigator
      UENO Junji
    • Project Period (FY)
      2012 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      System engineering
    • Research Institution
      The University of Tokushima
  •  Computational Anatomy for Computer-aided Diagnosis and Therapy : Frontiers of Medical Image Sciences

    • Principal Investigator
      KOBATAKE Hidefumi
    • Project Period (FY)
      2009 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      Tokyo University of Agriculture and Technology
  •  Computer-Aided Diagnosis Based on Computational Anatomical Models

    • Principal Investigator
      NIKI Noboru
    • Project Period (FY)
      2009 – 2013
    • 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 Tokushima
  •  Developments of Computer Aided Diagnosis System of liver cancers using knowledge Engineering for Medical X-ray CT ImagesPrincipal Investigator

    • Principal Investigator
      UENO Junji
    • Project Period (FY)
      2009 – 2011
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      System engineering
    • Research Institution
      The University of Tokushima
  •  Intelligent CAD Based on Anatomical Classification

    • Principal Investigator
      NIKI Noboru
    • Project Period (FY)
      2003 – 2006
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Science and Engineering
    • Research Institution
      The University of Tokushima
  •  Medical image recognition of lungs regions for multi-slice CT images by using the revised GMDH-type neural networks.Principal Investigator

    • Principal Investigator
      JUNJI Ueno
    • Project Period (FY)
      2003 – 2004
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      System engineering
    • Research Institution
      The University of Tokushima
  •  Development of accurate measurement and recording system for the measurement of regional accumulated skin dose to patients during IVR, procedures

    • Principal Investigator
      NIDHITANI Hiromu
    • Project Period (FY)
      2002 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Radiation science
    • Research Institution
      The University of Tokushima

All 2021 2020 2019 2018 2017 2016 2015 2014 2013 2011 2010 2009 2004 Other

All Journal Article Presentation

  • [Journal Article] Hybrid deep neural network of deep multi-layered GMDH-type neural network and convolutional neural network and its application to medical image recognition of chest regions.2021

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
    • Journal Title

      Proceedings of the twenty-sixth international symposium on artificial life and robotics

      Volume: - Pages: 353-359

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Journal Article] Medical image analysis of X-ray CT images using hybrid deep neural network of deep feedback GMDH-type neural network and convolutional neural network2020

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo
    • Journal Title

      Proceedings of the twenty-fifth international symposium on artificial life and robotics 2020

      Volume: - Pages: 435-442

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Journal Article] Medical image recognition of brain regions using deep multi-layered GMDH-type neural network and convolutional neural network2019

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo
    • Journal Title

      Proceedings of the twenty-fourth international symposium on artificial life and robotics 2019

      Volume: - Pages: 115-121

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Journal Article] Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network2018

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
    • Journal Title

      Artificial Life and Robotics

      Volume: 23 Issue: 2 Pages: 271-278

    • DOI

      10.1007/s10015-017-0420-z

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Journal Article] Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer2018

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
    • Journal Title

      Artificial Life and Robotics

      Volume: 23 Issue: 1 Pages: 48-59

    • DOI

      10.1007/s10015-017-0392-z

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Journal Article] Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis2017

    • Author(s)
      Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro Takao
    • Journal Title

      Artificial Life and Robotics

      Volume: 22 Issue: 1 Pages: 1-9

    • DOI

      10.1007/s10015-016-0337-y

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Journal Article] The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network2015

    • Author(s)
      Tadashi Kondo, Junji Ueno and Shoichiro Takao
    • Journal Title

      Journal of Bioinformatics and Neuroscience

      Volume: 1 Pages: 14-23

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Journal Article] Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis2015

    • Author(s)
      Tadashi Kondo, Junji Ueno and Shoichiro Takao
    • Journal Title

      Artificial Life and Robotics

      Volume: 20 Issue: 2 Pages: 145-151

    • DOI

      10.1007/s10015-015-0213-1

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Journal Article] Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs2015

    • Author(s)
      Tadashi Kondo, Junji Ueno and Shoichiro Takao
    • Journal Title

      Journal of Robotics Networking and Artificial Life

      Volume: 2 Issue: 2 Pages: 94-99

    • DOI

      10.2991/jrnal.2015.2.2.6

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Journal Article] Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis2015

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Journal Title

      Proceedings of the twentieth international symposium on artificial life and robotics 2015

      Volume: 1 Pages: 424-427

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Journal Article] Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs2015

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Journal Title

      Proceedings of international conference on artificial life and robotics (ICAROB 2015)

      Volume: 1 Pages: 119-122

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Journal Article] Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis2014

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Journal Title

      ICIC Express Letters

      Volume: 8 Pages: 851-858

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Journal Article] Medical image recognition of abdominal multi-organs by hybrid multi-layered GMDH-type neural network using principal component-regression analysis2014

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Journal Title

      Proceedings of 2014 second international symposium on computing and networking

      Volume: 1 Pages: 157-163

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Journal Article] Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis2014

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Journal Title

      ICIC Express Letters (ICIC-EL)

      Volume: 8 Pages: 851-858

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Journal Article] 胸部マルチスライスCT 画像を用いた骨粗鬆症診断支援システム2013

    • Author(s)
      高橋英治,鈴木秀宣,河田佳樹,仁木登,中野恭幸,上野淳二,原田雅史,森山紀之
    • Journal Title

      電子情報通信学会論文誌

      Volume: Vol.J.96-D,No.4 Pages: 892-900

    • NAID

      110009596337

    • URL

      http://ci.nii.ac.jp/naid/110009596337

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-21103005
  • [Journal Article] 胸部マルチスライスCT 画像を用いた骨粗鬆症診断支援システム2013

    • Author(s)
      高橋英治,鈴木秀宣,河田佳樹,仁木登,中野恭幸,上野淳二,原田雅史,森山紀之
    • Journal Title

      電子情報通信学会論文誌

      Volume: J.96-D Pages: 892-900

    • NAID

      110009596337

    • Peer Reviewed
    • Data Source
      KAKENHI-ORGANIZER-21103001
  • [Journal Article] 胸部マルチスライスCT 画像を用いた骨粗鬆症診断支援システム2013

    • Author(s)
      高橋英治,鈴木秀宣,河田佳樹,仁木登,中野恭幸,上野淳二,原田雅史,森山紀之
    • Journal Title

      電子情報通信学会論文誌

      Volume: J.96-D Pages: 892-900

    • NAID

      110009596337

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-21103005
  • [Journal Article] Semi-automated Organ Segmentation Using 3-dimensional Medical Imagery through Sparse Representation2013

    • Author(s)
      渡部秀文,清水昭伸,梅津 駿,小畑秀文,上野淳二,縄野 繁
    • Journal Title

      Transactions of Japanese Society for Medical and Biological Engineering

      Volume: 51 Issue: 5 Pages: 300-312

    • DOI

      10.11239/jsmbe.51.300

    • NAID

      130004494204

    • ISSN
      1347-443X, 1881-4379
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-ORGANIZER-21103001
  • [Journal Article] 胸部マルチスライスCT画像における葉間裂抽出法2013

    • Author(s)
      松廣幹雄,鈴木秀宣,河田佳樹,仁木登,上野淳二,中野恭幸,小川惠美子,室繁郎,大松広伸,森山紀之
    • Journal Title

      電子情報通信学会論文誌

      Volume: J.96-D Pages: 834-843

    • NAID

      110009596331

    • Peer Reviewed
    • Data Source
      KAKENHI-ORGANIZER-21103001
  • [Journal Article] Hybrid multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of liver cancer.2013

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Journal Title

      Procedia Computer Science

      Volume: 22 Pages: 172-181

    • DOI

      10.1016/j.procs.2013.09.093

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Journal Article] 胸部マルチスライスCT 画像における葉間裂抽出法2013

    • Author(s)
      松廣幹雄,鈴木秀宣,河田佳樹,仁木登,上野淳二,中野恭幸,小川惠美子,室繁郎,大松広伸,森山紀之
    • Journal Title

      電子情報通信学会論文誌

      Volume: Vol.J.96-D,No.4 Pages: 834-843

    • NAID

      110009596331

    • URL

      http://ci.nii.ac.jp/naid/110009596331

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-21103005
  • [Journal Article] 胸部マルチスライスCT画像における葉間裂抽出法2013

    • Author(s)
      松廣幹雄,鈴木秀宣,河田佳樹,仁木登,上野淳二,中野恭幸,小川惠美子,室繁郎,大松広伸,森山紀之
    • Journal Title

      電子情報通信学会論文誌

      Volume: J.96-D Pages: 834-843

    • NAID

      110009596331

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-21103005
  • [Journal Article] Medical image diagnosis of liver cancer by revised GMDH-type neural network using Knowledge base2011

    • Author(s)
      Tadashi Kondo, Junji Ueno, Shoichiro Takao
    • Journal Title

      Proceeding of international forum on medical imaging in Asia 2011

      Pages: 1-7

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Medical image diagnosis of liver cancer using neural network and artificial intelligence2011

    • Author(s)
      Tadashi Kondo, Junji Ueno and Schoichiro Takao
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics

      Volume: Vol.15 Pages: 714-722

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Measurements of multidetector CT surface dose distributions using a film dosimeter and chest phantom2011

    • Author(s)
      M.Tominaga, Y.Kawata, N.Niki, N.Moriyama, K.Yamada, J.Ueno, H.Nishitani
    • Journal Title

      Medical Physics

      Volume: Vol.38, No.5 Issue: 5 Pages: 2467-2478

    • DOI

      10.1118/1.3570769

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-21103005
  • [Journal Article] Medical image diagnosis of liver cancer using multi-layered GMDH-typeneural network2010

    • Author(s)
      Tadashi Kondo, Junji Ueno
    • Journal Title

      Proceedings of SCIS & ISIS 2010

      Pages: 446-451

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver2010

    • Author(s)
      Tadashi Kondo, Chihiro Kondo, Shoichiro Takao and Junji Ueno
    • Journal Title

      Journal of Artificial Life and Robotics

      Volume: Vol.15 Issue: 3 Pages: 264-269

    • DOI

      10.1007/s10015-010-0805-8

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Medical image diagnosis of liver cancer using neural network and artificial intelligence2010

    • Author(s)
      Tadashi Kondo, Junji Ueno, Shoichiro Takao
    • Journal Title

      Proceedings of the 2010 international symposium on intelligent systems(iFAN 2010)

      Pages: 1-6

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] 改良形GMDH-typeニェーラルネットワークを用いた肝臓癌の医用画像診断2010

    • Author(s)
      近藤正、上野淳二、高尾昭一郎
    • Journal Title

      電子情報通信学会技術報告

      Volume: MI2010-42 Pages: 27-32

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Feedback GMDH-type neural network and its application to medical image analysis of the liver cancer2010

    • Author(s)
      Tadashi Kondo, Junji Ueno
    • Journal Title

      Abstracts of the 42^<nd> ISCIE international symposium on stochastic systems theory and its applications

      Pages: 81-82

    • NAID

      130007377398

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] 人工知能を用いた肝臓癌の医用画像診断2010

    • Author(s)
      近藤正、上野淳二、高尾昭一郎
    • Journal Title

      JAMIT 2010 Proceedings

      Pages: 1-10

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Feedback GMDH-type neural network algorithm and its application to medical image analysis of cancer of the liver2010

    • Author(s)
      Tadashi Kondo, Chihiro Kondo, Shoichiro Takao, Junji Ueno
    • Journal Title

      Journal of Artificial Life and Robotics

      Volume: 15 Pages: 264-269

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Three-dimensional medical image recognition of the cancer of the liver by a revised radial basis function(RBF) neural network algorithm2009

    • Author(s)
      Masahiro Nakagawa, Tadashi Kondo, Kudo Tsuyosi, Shoichiro Takao and Junji Ueno
    • Journal Title

      The Journal of Artificial Life and Robotics

      Volume: Vol.14, No.2 Issue: 2 Pages: 118-122

    • DOI

      10.1007/s10015-009-0640-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Journal Article] Three-Dimensional Imaging of Thoracic Diseases with Multi-detector row CT2004

    • Author(s)
      Junji Ueno
    • Journal Title

      Jounal of Medical Investigation Vol.51・N0.3,4

      Pages: 163-170

    • NAID

      110002239179

    • Data Source
      KAKENHI-PROJECT-15560349
  • [Journal Article] Three-Dimensional Imaging of Thoracic Diseases with Multi-detector row CT2004

    • Author(s)
      Junji Ueno
    • Journal Title

      Jounal of Medical Investigation Vol.51・No.3, 4

      Pages: 163-170

    • NAID

      110002239179

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15560349
  • [Journal Article] Three-Dimensional Imaging of Thoracic Diseases with Multi-detector row CT2004

    • Author(s)
      Junji Ueno
    • Journal Title

      Jounal of Medical Investigation Vo1.51, No. 3, 4

      Pages: 163-170

    • NAID

      110002239179

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15560349
  • [Presentation] Hybrid deep neural network of deep multi-layered GMDH-type neural network and convolutional neural network and its application to medical image recognition of chest regions2021

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
    • Organizer
      The twenty-sixth international symposium on artificial life and robotics 2021 (AROB 26th 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] ディープ多層構造型GMDH-typeニューラルネットワークとCNNを用いた胸部画像の医用画像解析2020

    • Author(s)
      近藤正、高尾正一郎、近藤明佳、上野淳二
    • Organizer
      第34回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] Medical image analysis of X-ray CT images using hybrid deep neural network of deep feedback GMDH-type neural network and convolutional neural network2020

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo
    • Organizer
      The twenty-fifth international symposium on artificial life and robotics 2020 (AROB 25th 2020) (国際会議)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] Medical image recognition of brain regions using deep multi-layered GMDH-type neural network and convolutional neural network2019

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo
    • Organizer
      The twenty-fourth international symposium on artificial life and robotics 2019 (AROB 24th 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] ディープロジスティックGMDH-typeニューラルネットワークとCNNを用いた頭部MRI画像の医用画像認識2019

    • Author(s)
      近藤正、高尾正一郎、近藤明佳、上野淳二
    • Organizer
      第33回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] ディープフィードバック型GMDH-typeニューラルネットワークとCNNを用いたX線CT画像の医用画像解析2019

    • Author(s)
      近藤正、高尾正一郎、近藤明佳、上野淳二
    • Organizer
      医療情報学会・人工知能学会AIM合同研究会
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] Medical image diagnosis of liver cancer by hybrid deep neural network of deep logistic GMDH-type neural network and convolutional neural network2018

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
    • Organizer
      The twenty-third International Symposium on Artificial Life and Robotics 2018 (AROB 23nd 1018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Presentation] ディープGMDH-typeニューラルネットワークとコンボリューショナルニューラルネットワークを用いた臓器の自動医用画像認識2018

    • Author(s)
      近藤正、高尾正一郎、近藤明佳、上野淳二
    • Organizer
      医療情報学会・人工知能学会AIM合同研究会
    • Data Source
      KAKENHI-PROJECT-18K04206
  • [Presentation] Hybrid deep neural network of deep multi-layered GMDH-type neural network and convolutional neural network and its application to medical image recognition of spleen regions2018

    • Author(s)
      Shoichiro Takao, Sayaka Kondo, Junji Ueno, Tadashi Kondo
    • Organizer
      The twenty-third International Symposium on Artificial Life and Robotics 2018 (AROB 23nd 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Presentation] ディープ多層構造型GMDH-type ニューラルネットワークを用いた肝臓がんの医用画像診断2017

    • Author(s)
      高尾正一郎、近藤明佳、上野淳二、近藤 正
    • Organizer
      医療情報学会・人工知能学会AIM合同研究会
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Presentation] Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer2017

    • Author(s)
      Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro Takao
    • Organizer
      The twenty-second international symposium on artificial life and robotics (AROB 22nd 2017)
    • Place of Presentation
      B-con Plaza (大分県・別府市)
    • Year and Date
      2017-01-19
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Presentation] Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network2016

    • Author(s)
      Tadashi Kondo, Junji Ueno and Shoichiro Takao
    • Organizer
      The Twenty-First International Symposium on Artificial Life and Robotics (AROB 21st 2016)
    • Place of Presentation
      B-con Plaza (Oita)
    • Year and Date
      2016-01-20
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Presentation] The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network2015

    • Author(s)
      Tadashi Kondo, Junji Ueno and Shoichiro Takao
    • Organizer
      International Conference on Intelligent Informatics and Biomedical Sciences
    • Place of Presentation
      Okinawa institute of science and technology graduate university (Okinawa)
    • Year and Date
      2015-11-28
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K06145
  • [Presentation] Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis2014

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Organizer
      The nineteenth international symposium on artificial life and robotics
    • Place of Presentation
      B-Con Plaza(Oita)
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Presentation] 予測誤差評価基準に予測誤差平方和(PSS)を用いる多層構造型GMDH-typeニューラルネットワークとその肝臓癌の医用画像診断への応用2013

    • Author(s)
      近藤 正、上野淳二、高尾正一郎
    • Organizer
      電子情報通信学会画像工学研究会
    • Place of Presentation
      中央大学(東京都)
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Presentation] Hybrid multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of liver cancer.2013

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Organizer
      The 17th international conference in knowledge based and intelligent information and engineering systems
    • Place of Presentation
      Kitakyushu international convention center (Fukuoka)
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Presentation] Extraction method of interlobar fissure based on multi-slice CT images2013

    • Author(s)
      M.Matsuhiro, H.Suzuki, Y.Kawata, N.Niki, J.Ueno, Y.Nakano, E.Ogawa S.Muro, M.Mishima, H.Ohmatsu, N.Moriyama
    • Organizer
      SPIE Medical Imaging
    • Place of Presentation
      Orlando(USA)
    • Year and Date
      2013-02-12
    • Data Source
      KAKENHI-ORGANIZER-21103001
  • [Presentation] Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis2013

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Organizer
      The eighth international conference of the innovative computing information and control
    • Place of Presentation
      Kumamoto International Convention center (Kumamoto)
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Presentation] Hybrid GMDH-type neural network using artificial intelligence and its application to medical image diagnosis of liver cancer2011

    • Author(s)
      Tadashi Kondo, Junji Ueno and Schoichiro Takao
    • Organizer
      2011 IEEE/ SICE International Symposium on System Integration
    • Place of Presentation
      Kyoto University(Kyoto), Japan
    • Year and Date
      2011-12-22
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical image diagnosis of liver cancer by revised GMDH-type neural network using Knowledge base2011

    • Author(s)
      Tadashi Kondo, Junji Ueno and Shoichiro Takao
    • Organizer
      International forum on medical imaging in Asia 2011
    • Place of Presentation
      Tenbusu(Naha), Japan
    • Year and Date
      2011-01-18
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Artificial Intelligence Technology2011

    • Author(s)
      Tadashi Kondo and Junji Ueno
    • Organizer
      The 43^<rd> ISCIE international symposium on stochastic systems theory and its applications
    • Place of Presentation
      Ritsumeikan University(Shiga), Japan
    • Year and Date
      2011-10-28
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical image diagnosis of liver cancer by revised GMDH-type neural network using Knowledge base2011

    • Author(s)
      Tadashi Kondo, Junji Ueno, Shoichiro Takao
    • Organizer
      International forum on medical imaging in Asia 2011
    • Place of Presentation
      那覇市
    • Year and Date
      2011-01-18
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Knowledge Base2011

    • Author(s)
      Tadashi Kondo, Junji Ueno and Schoichiro Takao
    • Organizer
      Sixth International Conference on Innovative Computing Information and Control
    • Place of Presentation
      Kitakyushu International Conference Center(Kitakyushu), Japan.
    • Year and Date
      2011-12-24
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Feedback GMDH-type neural network and its application to medical image analysis of the liver cancer2010

    • Author(s)
      Tadashi Kondo and Junji Ueno
    • Organizer
      The 42^<nd> ISCIE international symposium on stochastic systems theory and its applications
    • Place of Presentation
      Okayama University of Science(Okayama), Japan
    • Year and Date
      2010-11-26
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] 改良形GMDH-typeニューラルネットワークを用いた肝臓癌の医用画像診断2010

    • Author(s)
      近藤正、上野淳二、高尾昭一郎
    • Organizer
      電子情報通信学会医用画像(MI)研究会
    • Place of Presentation
      徳島市
    • Year and Date
      2010-07-09
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical image diagnosis of liver cancer using multi-layered GMDH-type neural network2010

    • Author(s)
      Tadashi Kondo and Junji Ueno
    • Organizer
      SCIS & ISIS 2010
    • Place of Presentation
      Okayama Convention Center(Okayama), Japan
    • Year and Date
      2010-12-08
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] 人工知能を用いた肝臓癌の医用画像診断2010

    • Author(s)
      近藤正、上野淳二、高尾昭一郎
    • Organizer
      JAMIT 2010
    • Place of Presentation
      伊勢原市
    • Year and Date
      2010-07-30
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical image diagnosis of liver cancer-using multi-layered GMDH-type neural network2010

    • Author(s)
      Tadashi Kondo, Junji Ueno
    • Organizer
      SCIS & ISIS 2010
    • Place of Presentation
      岡山市
    • Year and Date
      2010-12-08
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Feedback GMDH-type neural network and its application to medical image analysis of the liver cancer2010

    • Author(s)
      Tadashi Kondo, Junji Ueno
    • Organizer
      The 42^<nd> ISCIE international symposium on stochastic systems theory and its applications
    • Place of Presentation
      岡山市
    • Year and Date
      2010-11-26
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical image diagnosis of liver cancer using neural network and artificial intelligence2010

    • Author(s)
      Tadashi Kondo, Junji Ueno, Shoichiro Takao
    • Organizer
      The 2010 international symposium on intelligent systems(iFAN 2010)
    • Place of Presentation
      八王子市
    • Year and Date
      2010-09-25
    • Data Source
      KAKENHI-PROJECT-21560428
  • [Presentation] Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Organizer
      The twentieth international symposium on artificial life and robotics 2015
    • Place of Presentation
      別府国際コンベンションセンター B-CON PLAZA(大分県・別府市)
    • Year and Date
      2015-01-21 – 2015-01-23
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Presentation] Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Organizer
      The international conference on artificial life and robotics (ICAROB 2015)
    • Place of Presentation
      ホルトホール大分(大分県・大分市)
    • Year and Date
      2015-01-10 – 2015-01-12
    • Data Source
      KAKENHI-PROJECT-24560497
  • [Presentation] Medical image recognition of abdominal multi-organs by hybrid multi-layered GMDH-type neural network using principal component-regression analysis

    • Author(s)
      Kondo T., Ueno J., Takao S.
    • Organizer
      The second international symposium on computing and networking
    • Place of Presentation
      静岡県コンベンションアーツセンター「グランシップ」(静岡県・静岡市)
    • Year and Date
      2014-12-10 – 2014-12-12
    • Data Source
      KAKENHI-PROJECT-24560497
  • 1.  KONDO Tadashi (80205559)
    # of Collaborated Projects: 5 results
    # of Collaborated Products: 57 results
  • 2.  NIDHITANI Hiromu (50117206)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 1 results
  • 3.  NIKI Noboru (80116847)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 8 results
  • 4.  KAWATA Yoshiki (70274264)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 5 results
  • 5.  EGUCHI Kenji (30349336)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 6.  OHMATSU Hironobu (40415518)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 7.  NAKANO Yasutaka (00362377)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 4 results
  • 8.  KOBATAKE Hidefumi (80013720)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  MASUTANI Yoshitaka (20345193)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  SATO Yoshinobu (70243219)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  FUJITA Hiroshi (10124033)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  MORI Kensaku (10293664)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 13.  SHIMIZU Akinobu (80262880)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  KIDO Shoji (90314814)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  HASHIZUME Makoto (90198664)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  MEKADA Yoshito (00282377)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 17.  IMIYA Atsushi (10176505)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 18.  SUZUKI Naoki (40147327)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 19.  NAWANO Shigeru (40156005)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 20.  SUZUKI Hidenobu (50546710)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 4 results
  • 21.  SHIMADA Mitsuo (10216070)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 22.  HARADA Masafumi (20228654)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 23.  OHTSUKA Hideki (30346605)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 24.  TAKAYAMA Tetsuji (10284994)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 25.  ABE Masahiro (80263812)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 26.  ITO Harumi (40026943)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 27.  IINUMA Gen (60222824)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 28.  KUSUMOTO Masahiko (90252767)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 29.  TSUCHIDA Takaaki (80256239)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 30.  TAKAHASHI Masashi (20179526)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 31.  SAKAI Hiroaki (50362489)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 32.  TAKIGUCHI Yuuichi (30272321)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 33.  OHNO Yoshiharu (30324924)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 34.  MIYOSHI Hirokazu (90229906)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 35.  YAGI Hirofumi (50210216)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 36.  KUBO Mitsuru (30325245)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 37.  KONDO Kazuya (10263815)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 38.  TAKAO Shoichiro (30363146)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 10 results
  • 39.  山本 眞司 (80230556)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 40.  片田 和廣 (00101684)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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