Uehara Kazuki

写真a

Title

Associate Professor

Researcher Number(JSPS Kakenhi)

50893864
To the head of this page.▲

Current Affiliation Organization 【 display / non-display 】

  • Duty   University of the Ryukyus   Faculty of Global and Regional Studies   Associate Professor  

To the head of this page.▲

University 【 display / non-display 】

  • 2006.04
    -
    2011.03

    University of the Ryukyus   Faculty of Engineering   Graduated

To the head of this page.▲

Graduate School 【 display / non-display 】

  • 2011.04
    -
    2013.03

    University of the Ryukyus  Graduate School, Division of Science and Engineering  Doctor's Course (first term)  Completed

  • 2013.04
    -
    2016.03

    University of the Ryukyus  Graduate School, Division of Science and Engineering  Doctor's Course (second term)  Completed

To the head of this page.▲

External Career 【 display / non-display 】

  • 2016.05
    -
    2021.03

    National Institute of Advanced Industrial Science and Technology (AIST)  

  • 2021.04
    -
    2023.03

    National Institute of Advanced Industrial Science and Technology (AIST)  

  • 2023.04
    　
    　

    University of the Ryukyus  

  • 2023.10
    　
    　

     

To the head of this page.▲

Research Interests 【 display / non-display 】

  • Human-AI Cooperation

  • Artificial Intelligence

  • Computer vision

To the head of this page.▲

Research Areas 【 display / non-display 】

  • Informatics / Intelligent informatics

To the head of this page.▲

Published Papers 【 display / non-display 】

  • Ensemble Distillation of Divergent Opinions for Robust Pathological Image Classification

    Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi

    2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)     2024.07 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

  • MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis

    Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa

    Pattern Recognition Applications and Methods ( Springer Cham )  14547   49 - 68   2024.02 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

    • Access this article
      DOI

  • Evidence Dictionary Network Using Multiple Instance Contrastive Learning for Explainable Pathological Image Analysis

    Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi

    2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) ( IEEE )    1 - 5   2023.09 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

  • Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification

    Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa

    Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ( SCITEPRESS - Science and Technology Publications )    619 - 628   2023 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

    • Access this article
      DOI

  • Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis

    Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi

    Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022)   3121   1 - 14   2022.04 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

display all >>

To the head of this page.▲

Presentations 【 display / non-display 】

  • 人と人工知能の協働による医療診断支援技術の開発

    上原和樹

    人工知能学会　第132回 知識ベースシステム研究会  2024.08  -  2024.08 

  • Ensemble Distillation of Divergent Opinions for Robust Pathological Image Classification

    Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi

    the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  2024.07  -  2024.07 

  • Evidence Dictionary Network Using Multiple Instance Contrastive Learning For Explainable Pathological Image Analysis

    Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Murakawa Masahiro, Junya Fukuoka, Hidenori Sakanashi

    the 20th IEEE International Symposium on Biomedical Imaging. ISBI 2023  2023.04  -  2023.04 

  • Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification

    Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa

    12th International Conference on Pattern Recognition Applications and Methods  2023.02  -  2023.02 

  • Explainable Deep Feature Embedding Using Multiple Instance Learning for Pathological Image Analysis

    Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi

    AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022)  2022.03  -  2022.03 

display all >>

To the head of this page.▲