| 2024 | IJCNN | Two-Stage Diffusion Model for 3D Medical Image Segmentation. | Masaki Nishimura, Takaya Ueda, Eisuke Ito, Ikuko Nishikawa |
| 2022 | ICANN | Phenotype Anomaly Detection for Biological Dynamics Data Using a Deep Generative Model. | Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa |
| 2021 | IJCNN | Wasserstein Distance-Based Domain Adaptation and Its Application to Road Segmentation. | Seita Kono, Takaya Ueda, Enrique Arriaga-Varela, Ikuko Nishikawa |
| 2020 | ICANN | Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data. | Takaya Ueda, Yukako Tohsato, Ikuko Nishikawa |
| 2020 | IJCNN | Latent space decomposition into task-specific and domain-specific subspaces for domain adaptation. | Takaya Ueda, Ikuko Nishikawa |
| 2019 | ICNC | Characterizing Phenotype Abnormality by Variational Auto Encoder. | Yuki Kimura, Takaya Ueda, Seo Masataka, Yukako Tohsato, Ikuko Nishikawa |
| 2019 | ICNC | Analysis of Time Series Anomalies Using Causal InfoGAN and Its Application to Biological Data. | Takaya Ueda, Masataka Seo, Yukako Tohsato, Ikuko Nishikawa |
| 2018 | ICANN | Data Correction by a Generative Model with an Encoder and its Application to Structure Design. | Takaya Ueda, Masataka Seo, Ikuko Nishikawa |
| 2018 | ICNC | Automatic Correction by Deep Generative Model and its Application to Building Construction. | Takaya Ueda, Masataka Seo, Ikuko Nishikawa |
| 1998 | KES | An information retrieval system based on personal viewpoints for everyday use. | Noriko Otani, Fumiaki Itoh, Shogo Shibata, Takaya Ueda, Yuji Ikeda |