Rchr
J-GLOBAL ID:201401063528799353   Update date: Sep. 13, 2024

Hiroki Kawai

カワイ ヒロキ | Hiroki Kawai
Affiliation and department:
Other affiliations (1):
Research field  (3): Intelligent informatics ,  Cell biology ,  Other
Research theme for competitive and other funds  (5):
  • 2022 - 2023 Annotation Toolbox for Biological Images
  • 2022 - 2023 An Interactive Deep Learning-Based Segmentation Platform for 3D Datasets
  • 2021 - 2023 深層学習を用いたオルガネラ構造の超高効率的解析法の開発
  • 2020 - 2022 Development of a platform for analyzing cerebral tissue electron microscopy images using machine learning
  • 2013 - 2016 神経幹細胞におけるDll1の局在制御による未分化性維持細胞選択機構の解明
Papers (14):
  • Shota Kato, Keita Chagi, Yusuke Takagi, Moe Hidaka, Shutaro Inoue, Masahiro Sekiguchi, Natsuho Adachi, Kaname Sato, Hiroki Kawai, Motohiro Kato. Machine/deep learning-assisted hemoglobin level prediction using palpebral conjunctival images. British journal of haematology. 2024
  • Kotaro Ishii, Miho Akiyama, Kenji Kamimoto, Hiroki Kawai, Yumiko Suto. Application of automated scoring system of dicentric chromosome for biodosimetry. CYTOLOGIA. 2023
  • Yohei Nitta, Hiroki Kawai, Ryuto Maki, Jiro Osaka, Satoko Hakeda-Suzuki, Yoshitaka Nagai, Karolína Doubková, Tomoko Uehara, Kenji Watanabe, Kenjiro Kosaki, et al. Direct evaluation of neuroaxonal degeneration with the causative genes of neurodegenerative diseases in drosophila using the automated axon quantification system, MeDUsA. Human Molecular Genetics. 2023. 32. 9. 1524-1538
  • Mélisande Richard, Karolína Doubková, Yohei Nitta, Hiroki Kawai, Atsushi Sugie, Gaia Tavosanis. A quantitative model of sporadic axonal degeneration in the Drosophila visual system. The Journal of Neuroscience. 2022. 42. 24. JN-RM
  • Yohei Nitta, Hiroki Kawai, Jiro Osaka, Satoko Hakeda-Suzuki, Yoshitaka Nagai, Karolína Doubková, Takashi Suzuki, Gaia Tavosanis, Atsushi Sugie. MeDUsA: A novel system for automated axon quantification to evaluate neuroaxonal degeneration. 2021
more...
Books (2):
  • ミトコンドリア疾患治療の新時代 : オルガネラ動態を紐解き異常ミトコンドリアの標的分子を狙う!
    羊土社 2023 ISBN:9784758104098
  • 実験医学 31巻 18号
    羊土社 2013
Lectures and oral presentations  (3):
  • 深層学習を用いた生物画像解析
    (第4回形態解析ワークショップ 2022)
  • 画像解析プラットフォーム(IMACEL) におけるDeep Learningを用いたin vitro小核試験標本の自動観察技術の検証
    (MMS定例会 2018)
  • A Semi-Automated Segmentation of 3D Electron Microscopy Images with Deep Lea rning
    (2018)
Professional career (1):
  • 博士 (東京大学)
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