本ページでは、過去5年以内の研究業績を掲載しています。
全期間の一覧は、以下のリンクをご覧ください。

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

雑誌論文（過去5年）

●   Juan Liu, So Fujiyoshi, Fumito Maruyama, Yukako Tohsato, Shinichi Koyama, Xavier Rodó, Takamune Shimada, Makoto Seki, Akihiro Sakatoku, Shogo Nakamura, Daisuke Tanaka: “Suburban-urban differences in coarse and fine atmospheric particulate matter with key chemical compositions influencing bacterial communities in Toyama and Yokohama, Japan” , Journal of Hazardous Materials , 501 , 13 pages [Journal] （2026-01-01） DOI: 10.1016/j.jhazmat.2025.140678
●   Fumito Maruyama, Ishara Perera, Carolina Medel, Leonardo Guzman, Shinji Nakaoka, Felipe Tucca, Alexander Jaramillo, Yukako Tohsato, Milko A. Jorquera, So Fujiyoshi, Daiki Kumakura, Kyoko Yarimizu, Oscar Espinoza, Jacquelinne Acuña, Han Soo Lee: “Causal Interactions Among Phytoplankton and Pseudo-Nitzschia Species Revealed by Empirical Dynamic Modelling” , Science of the Total Environment , 211 , 39 pages [Journal/Preprint] （2025-03-01） Link
●   Koji Kyoda, Hiroya Itoga, Yuki Yamagata, Emi Fujisawa, Fangfang Wang, Miguel Miranda-Miranda, Haruna Yamamoto, Yasue Nakano, Yukako Tohsato, Shuichi Onami: “SSBD: an ecosystem for enhanced sharing and reuse of bioimaging data” , Nucleic Acids Research , 53(6) , D1716–1723 [Journal] （2024-10-31） DOI: 10.1093/nar/gkae860
●   Yuki Shimojo, Kazuki Suehara, Tatsumi Hirata, Yukako Tohsato: “Segmentation of mouse brain slices with unsupervised domain adaptation considering cross-sectional locations” , IPSJ Transactions on Bioinformatics , 17 , 33–39 [Journal] （2024-05-01） DOI: 10.2197/ipsjtbio.17.33
●   Takashi Ohyama, Yukako Tohsato*: “Metabolic network analysis by time-series causal inference using the multi-dimensional space of prediction errors” , IPSJ Transactions on Bioinformatics , 16 , 13–19 [Journal] （2023-04-03） DOI: 10.2197/ipsjtbio.16.13
●   Takeyuki Tamura*, Ai Muto-Fujita, Yukako Tohsato, Tomoyuki Kosaka: “Gene deletion algorithms for minimum reaction network design by mixed-integer linear programming for metabolite production in constraint-based models: gDel_minRN” , Journal of Computational Biology , 30(5) , 553–568 [Journal] （2023-02-17） DOI: 10.1089/cmb.2022.0352

国際会議議事録（過去5年）

●   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）

書籍・事典・解説など（過去5年）

●   遠里 由佳子: “理論生物学事典 8-2 タンパク質・機能・マクロデータ：12 フェノーム” , 理論生物学事典（巌佐 庸、大槻 久、佐竹 暁子、望月 敦史 編） , 414–415 (564 pages) , 新倉書店 [Encyclopedia] （2025-11-01）
●   遠里 由佳子, 京田 耕司, 大浪 修一: “型で実践する生物画像解析 論文投稿編２：画像データリポジトリとデータベース ーそのしくみと活用法” , （三浦 耕太 & 塚田 祐基 編） , 284–291 (351 pages) , 羊土社 [BookChapter] （2025-03-28）