J-GLOBAL ID:201101086111719720   Update date: Jul. 17, 2024

Naoaki Ono

オノ ナオアキ | Naoaki Ono
Affiliation and department:
Job title: Associate Professor
Research field  (3): Computational science ,  Genomics ,  Biological, health, and medical informatics
Research keywords  (5): Deep Learning ,  Multiomics ,  Complex Systems ,  Systems Biology ,  Bioinformatics
Research theme for competitive and other funds  (7):
  • 2021 - 2027 Development of statistical model for analysis of dynamic of metabolic diseases using PET
  • 2022 - 2025 Elucidation of the mechanism for antitumor lignan biosynthesis based on integrated genome analysis
  • 2021 - 2024 分散学習ネットワークモデルを用いた病理組織画像の特徴抽出の最適化
  • 2017 - 2019 深層学習を用いたすい癌の病理組織画像からの細胞タイプ識別モデルの構築
  • 2015 - 2017 遺伝子発現情報のクラスタリングにもとづいた肺がん組織病理画像の特徴抽出
Show all
Papers (167):
  • Shota Nakagawa, Naoaki Ono, Yukichika Hakamata, Takashi Ishii, Akira Saito, Shintaro Yanagimoto, Shigehiko Kanaya. Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning. PLOS digital health. 2024. 3. 3. e0000460
  • Mahfujul Islam Rumman, Naoaki Ono, Kenoki Ohuchida, MD. Altaf-Ul-Amin, Ming Huang, Shigehiko Kanaya. Information maximization-based clustering of histopathology images using deep learning. PLOS Digital Health. 2023. 2. 12. e0000391-e0000391
  • Huijia Wang, Guangxian Zhu, Leighton T. Izu, Ye Chen-Izu, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang. On QSAR-based cardiotoxicity modeling with the expressiveness-enhanced graph learning model and dual-threshold scheme. Frontiers in Physiology. 2023. 14
  • Sony Hartono Wijaya, Ahmad Kamal Nasution, Irmanida Batubara, Pei Gao, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin. Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds. Life. 2023. 13. 2. 439-439
  • Keisuke Wakakuri, Yudai Taguchi, Daiki Koge, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya. Molecular Graph Indexes for Assessing Heterogeneity of Chemical Compounds. Journal of Computer Aided Chemistry. 2023. 23. 50-59
MISC (27):
Books (4):
  • シンギュラリティ: 限界突破を目指した最先端研究
    近代科学社 2016 ISBN:9784764905047
  • バイオビッグデータに挑む:メタボロミクスからビッグデータ・サイエンスへの展開
    シーエムシー出版 2014
  • Protocells: Bridging Nonliving and Living Matter
    The MIT Press 2009 ISBN:9780262182683
  • ネットワーク科学の道具箱
    近代科学社 2007 ISBN:9784764903463
Lectures and oral presentations  (63):
  • Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network
    (IEEE International Conference on Bioinformatics and Biomedicine 2018)
  • KNApSAcK family database and its use in crude medicine study
    (Ubiquitous Healthcare 2018 2018)
  • KNApSAcK Family DB: 天然物データベースにおける化学構造類似検索とその他の情報検索
    (第41回 ケモインフォマティクス討論会 2018)
  • Integrated statistical model based on transcriptome and metabolome in the biophylaxis metabolism of Angelica acutiloba
    (19th International Conference on Systems Biology 2018)
  • Comparison of fluxome simulation and metabolome analysis using murine glioblastoma initiating cells
    (19th International Conference on Systems Biology 2018)
Professional career (1):
  • 博士(学術) (東京大学)
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page