全期間の記録： 雑誌論文   国際会議議事録   書籍・事典・解説など

●   Kazuki Shimizu, Yukako Tohsato: “SAPAG: Self-attention parts guidance with latent diffusion models for anomaly detection in Caenorhabditis elegans images” , Proceedings of the 32nd International Conference on Neural Information Processing (ICONIP 2025) , 52–66 [Conference] （2026-09-12）
●   Hiroto Kawabata, Yuki Shimojo, Tatsumi Hirata, Yukako Tohsato: “Large-scale image processing and three-dimensional reconstruction of mouse brains with neurogenic-tagged neurons” , Proceedings of the 13th International Conference on Biomedical Engineering and Technology (ICBET 2023), Tokyo, Japan , 1–7 [Conference] （2023-12-19） DOI: 10.1145/3620679.3620680
●   Hiroaki Nozaki, Yukako Tohsato: “Unsupervised domain adaptation using temporal association for segmentation and its application to C. elegans time-lapse images” , Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), Lecture Notes in Computer Science , 13531 , 469–481 [Conference] （2022-09-09）
●   Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa: “Phenotype anomaly detection for biological dynamics data using a deep generative model” , Proceedings of the 31st International Conference on Artificial Neural Networks (ICANN 2022), Lecture Notes in Computer Science , 13530 , 432–444 [Conference] （2022-09-09）
●   Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa: “Temporal anomaly detection by deep generative models” , Proceedings of the 29th International Conference on Artificial Neural Networks (ICANN 2020), Lecture Notes in Computer Science , 12396 , 553–564 [Conference] （2020-09-18）
●   Yukako Tohsato, Tadahiro Taniguchi, Hirotada Mori, Masahiro Ito: “Analyzing phenotype microarray data for Escherichia coli using an infinite relational model” , Proceedings of the 2021 IEEE 9th International Conference on Bioinformatics and Computational Biology (ICBCB 2021) , 125–129 [Conference] （2020-05-18）
●   Takumi Oibayashi, Takaya Ueda, Yuki Kimura, Yukako Tohsato, Ikuko Nishikawa: “Phenotype anomaly detection in early C. elegans embryos by variational auto-encoder” , Proceedings of the 2020 IEEE 8th International Conference on Bioinformatics and Computational Biology (ICBCB 2020), Taiyuan, China , 1–5 [Conference] （2020-05-18）
●   Takaya Ueda, Masataka Seo, Yukako Tohsato, Ikuko Nishikawa: “Analysis of time series anomalies using causal InfoGAN and its application to biological data” , Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Springer, Kunming, China , 1074 , 609–617 [Conference] （2019-07-22）
●   Yuki Kimura, Takaya Ueda, Masataka Seo, Ikuko Nishikawa: “Characterizing phenotype abnormality by variational auto encoder” , Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Springer, Kunming, China , 1074 , 618–626 [Conference] （2019-07-22）
●   Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen*: “Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors” , Proceedings of the 3rd Asian Conference on Pattern Recognition (ACPR 2015), Kuala Lumpur, Malaysia , 554–558 [Conference] （2015-11-06）
●   Yukako Tohsato, Kunihiko Ikuta, Akitaka Shionoya, Yusaku Mazaki, Masahiro Ito: “Parameter optimization and sensitivity analysis for large kinetic models using a real-coded genetic algorithm” , Proceedings of Genome Informatics (GIW 2012), Tainan, Taiwan [Conference] （2012-12-14）
●   Yukako Tohsato, Tomoya Baba, Yusaku Mazaki, Masahiro Ito, Barry L. Wanner, Hirotada Mori: “Environmental dependency of gene knockouts on phenotype microarray analysis in Escherichia coli” , Proceedings of Genome Informatics (GIW 2010), China , 1–17 [Conference] （2010-12-18）
●   Masato Kitajima, Yukako Tohsato, Takahiro Kosaka, Kazuto Yamazaki, Reiji Teramoto, Susumu Date, Shinji Shimojo, Hideo Matsuda: “Development of a database system for drug discovery by employing grid technology” , Proceedings of the 7th International Conference on High Performance Computing and Grid in Asia Pacific Region (HPCAsia 2004), IEEE CS Press, Ohmiya , 365–369 [Conference] （2004-07-22）
●   Yukako Tohsato, Takahiro Kosaka, Susumu Date, Shinji Shimojo, Hideo Matsuda: “Heterogeneous database federation using grid technology for drug discovery process” , Proceedings of the First International Workshop on Life Science Grid (LSGRID 2004), Kanazawa , 53–62 [Conference] （2004-06-04）
●   Shoko Miyake, Yukako Tohsato, Yoichi Takenaka, Hideo Matsuda: “A clustering method for comparative analysis between genomes and pathways” , Proceedings of the 8th International Conference on Database Systems for Advanced Applications (DASFAA 2003), Kyoto , 327–334 [Conference] （2003-03-28）
●   Yukako Tohsato, Hideo Matsuda, Akihiro Hashimoto: “A multiple alignment algorithm for metabolic pathway analysis using enzyme hierarchy” , Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology (ISMB 2000), California , 376–383 [Conference] （2000-08-23）