Uehara Kazuki

写真a

Title

Associate Professor

Researcher Number(JSPS Kakenhi)

50893864
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Current Affiliation Organization 【 display / non-display 】

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

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University 【 display / non-display 】

  • 2006.04
    -
    2011.03

    University of the Ryukyus   Faculty of Engineering   Graduated

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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

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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
    　
    　

     

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Research Interests 【 display / non-display 】

  • Human-AI Cooperation

  • Artificial Intelligence

  • Computer vision

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Research Areas 【 display / non-display 】

  • Informatics / Intelligent informatics

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Published Papers 【 display / non-display 】

  • 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 (international conference proceedings)

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  • 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)

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  • 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)

  • MIXTURE of human expertise and deep learning—developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease

    Wataru Uegami, Andrey Bychkov, Mutsumi Ozasa, Kazuki Uehara, Kensuke Kataoka, Takeshi Johkoh, Yasuhiro Kondoh, Hidenori Sakanashi, Junya Fukuoka

    Modern Pathology ( Elsevier BV )  35 ( 8 ) 1083 - 1091   2022.02 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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Presentations 【 display / non-display 】

  • 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 

  • Explainable Feature Embedding using Convolutional Neural Netowrks for Pathological Image Analysis

    Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi

    25th International Conference on Pattern Recognition (ICPR2020)   2021.01  -  2021.01 

  • Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks

    Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi

    IEEE International Conference on Image Processing (ICIP2020)  2020.10  -  2020.10 

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