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Skibbe Henrik  Skibbe Henrik

ORCIDConnect your ORCID iD *help
Researcher Number 00735764
Other IDs
Affiliation (Current) 2026: 松山大学, 情報学部, 教授
2026: 京都大学, 情報学研究科, 特定研究員
2026: 国立研究開発法人理化学研究所, 脳神経科学研究センター, ユニットリーダー
Affiliation (based on the past Project Information) *help 2026: 松山大学, 情報学部, 教授
2023 – 2024: 国立研究開発法人理化学研究所, 脳神経科学研究センター, ユニットリーダー
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related / Basic Section 62010:Life, health and medical informatics-related
Keywords
Principal Investigator
multi-scale cGAN / graph-networks / generative AI / neuron tracing / microscopy imaging / multi‐scale cGAN
  • Research Projects

    (2 results)
  • Research Products

    (2 results)
  • Co-Researchers

    (1 People)
  •  Template-Query Registration Network (TQ-RegNet): A Machine Learning Framework for Robust Localization and Registration of Partial Medical and Biological ImagesPrincipal Investigator

    • Principal Investigator
      Skibbe Henrik
    • Project Period (FY)
      2026 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Matsuyama University
  •  Development of Deep Learning Methods for Generating and Analyzing Neural Network Microscopy ImagesPrincipal Investigator

    • Principal Investigator
      Skibbe Henrik
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for JSPS Fellows
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Institute of Physical and Chemical Research

All 2025 2023

All Presentation

  • [Presentation] Automatic Annotation of Drosophila Neuron Microscopy Images Using Generative AI2025

    • Author(s)
      Meghane Chloe Jade Decroocq, Charissa Poon, Binbin Xu, Adrian Moore, Henrik Skibbe
    • Organizer
      APPW2025 第130 回日本解剖学会総会・全国学術集会・ 第102 回日本生理学会大会・第98 回日本薬理学会年会 合同大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23KF0296
  • [Presentation] Synthetic microscopy image generation for deep learning-based automatic tracing of Drosophila neurons2023

    • Author(s)
      Meghane Decroocq, Adrian Moore, Binbin Xu, Charissa Poon, Henrik Skibbe
    • Organizer
      The Asia Pacific Drosophila Neurobiology Conference (APDNC3)
    • Data Source
      KAKENHI-PROJECT-23KF0296
  • 1.  DECROOCQ MEGHANE
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 4 results

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