SAKURAI Tetsuya

Researcher's full information

Conference, etc.
  • CPPM: Prediction of cyclic peptide membrane permeability based on multi-loss fusion network
    Chen Yangyang; Ye Xiucai; Sakurai Tetsuya
    The 8th International Conference on Medical and Health Informatics (ICMHI 2024)/2024-05-17--2024-5-19
  • リアルワールドビッグデータを人工知能AIを用いて機械学習し，最良な周術期管理を構築する
    丸山　常彦; 野崎　礼史; 池澤 和人; 鈴木 英雄; 黒川友博; 二村 保徳; 櫻井 鉄也; 小田 竜也
    第125回日本外科学会定期学術集会/2025-4-10--2025-4-12
  • Development of a machine learning model to evaluate changes during radiotherapy in cervical cancer tumor cells
    Goto Masaaki; Futamura Yasunori; Makishima Hirokazu; S...
    The 3rd International Congress of the Asian Oncology Society (AOS2023)/2023-10-19--2023-10-21
  • Toward the Application of Differential Privacy to Data Collaboration
    Yamashiro Hiromi; OMOTE Kazumasa; Imakura Akira; Sakur...
    IEEE Access/2024-05
  • 機械学習を用いて，入院時に胃癌術後入院期間 を予測する
    丸山 常彦; 池澤 和人; 鈴木 英雄; 二村 保徳; 櫻 井 鉄也; 小田 竜也
    第 79 回日本消化器外科学会総会/2024-7-17--2024-7-19
  • Multi-omics clustering based on interpretable and discriminative features for cancer subtyping
    Shi Tianyi; Ye Xiucai; Sakurai Tetsuya
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM)/2023-12-05--2023-12-08
  • 胃癌術後の早期経口開始は，術後入院期間を有 意に短縮させる
    丸山 常彦; 池澤 和人; 鈴木 英雄; 櫻井 鉄也; 二村 保徳; 小田 竜也
    第 124 回日本外科学会定期学術集会/2024-4-18--2024-4-20
  • Explainability and Fairness of Distributed Data Analysis
    Kawamata Yuji; Motai Ryoki; Okada Yukihiko; Imakura A...
    10th International Congress on Industrial and Applied Mathematics (ICIAM2023)/2023-08-20--2023-08-25
  • Explainability and Fairness of Distributed Data Analysis
    Bogdanova Anna; Imakura Akira; Sakurai Tetsuya
    10th International Congress on Industrial and Applied Mathematics (ICIAM2023)/2023-08-20--2023-08-25
  • Data Collaboration Cox Proportional Hazards Model for Privacy-preserving Survival Analysi
    Imakura Akira; Tsunoda Ryoya; Kagawa Rina; Yamagata K...
    10th International Congress on Industrial and Applied Mathematics (ICIAM2023)/2023-08-20--2023-08-25
  • Distributed data analysis through data collaboration technique
    sakurai tetsuya; Imakura Akira; Futamura yasunori
    SIAM Conference on Parallel Processing for Scientific Computing (PP24)/2024-03-05--2024-03-08
  • Recent progress in complex moment-based eigenvalue solvers
    Imakura Akira; sakurai tetsuya; Futamura yasunori
    SIAM Conference on Parallel Processing for Scientific Computing (PP24)/2024-03-05--2024-03-08
  • 機械学習を用いた子宮頸がん病理組織像の放射線治療変化判定モデルの開発
    後藤　雅明; 二村　保徳; 牧島　弘和; 坂本　規彰; 飯島　達生; 玉木　義雄; 櫻井　鉄也; 奥村　敏之; 櫻...
    日本放射線腫瘍学会第36回学術大会/2023-11-30--2023-12-02
  • Development of a machine learning model to evaluate changes during radiotherapy in cervical cancer tumor cells
    Goto Masaaki; Futamura Yasunori; Makishima Hirokazu; S...
    2023 ASTRO Annual meeting/2023-10-1--2023-10-4
  • Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
    Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
    RIMS 研究集会現象解明に向けた数値解析学の新展開 II/2016-10-19--2016-10-21
  • Multi-view Network Embedding with Structure and Semantic Contrastive Learning
    Shang Yifan; Ye Xiucai; Sakurai Tetsuya
    IEEE International Conference on Multimedia and Expo (ICME2023)/2023-07-10--2023-07-14
  • Common and Unique Features Learning in Multi-view Network Embedding
    Yifan Shang; Xiucai Ye; Tetsuya Sakurai
    International Joint Conference on Neural Networks (IJCNN2023)/2023-06-18--2023-06-23
  • Common and Unique Features Learning in Multi-view Network Embedding
    Yifan Shang; Xiucai Ye; Tetsuya Sakurai
    The International Joint Conference on Neural Networks (IJCNN)/2023-06-18--2023-06-23
  • FL と DC 解析における通信コストと精度の比較: 筑波大学附属病院とつくば市役所の統合データ解析を想定して
    豊田明広; 内立元豪; 小島真之; 香川璃奈; 大山孝; 今倉暁; 櫻井鉄也; 岡田幸彦
    第37回人工知能学会全国大会/2023-06-06--2023-06-09
  • scGNGI: Imputing Missing Gene Expression Value with Cell Heterogeneity Based on Low Rank Matrix Recovery
    Huang Meng; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Discovering Cancers Subtypes Based on Multi-omics Clustering
    Tianyi Shi; Xiucai Ye; Tetsuya Sakurai
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Enhancing Compound Screening Effectiveness in Drug Research by Refining Screening Approaches
    Ru Xiaoqing; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • Improving Prediction of SARS CoV2 Phosphorylation Sites Using Adaptive Learning Embedding Features
    Jiao Shihu; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • DeepDMPred:Multi view Feature Fusion Method to Predict Drug Molecules
    He Shida; Ye Xiucai; Sakurai Tetsuya
    The 7th International Conference on Medical and Health Informatics (ICMHI 2023)/2023-05-12--2023-05-14
  • データコラボレーション解析手法に対する精度解析および生存時間分析への応用
    今倉暁; 角田亮也; 香川 璃奈; 山縣邦弘; 櫻井鉄也
    日本応用数理学会 2023年研究部会連合発表会/2023-03-10
  • more...