| 2023 | ICPRAM | Multi-Scale Feature Aggregation Based Multiple Instance Learning for Pathological Image Classification. | Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa |
| 2023 | ICPRAM | MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis. | Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa |
| 2020 | ICIP | Multi-Scale Explainable Feature Learning for Pathological Image Analysis Using Convolutional Neural Networks. | Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi |
| 2020 | ICPR | Explainable Feature Embedding using Convolutional Neural Networks for Pathological Image Analysis. | Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, Hidenori Sakanashi |
| 2018 | IGARSS | Object Detection in Satellite Imagery Using 2-Step Convolutional Neural Networks. | Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa, Hidenori Sakanashi, Hirokazu Nosato, Toru Kouyama, Ryosuke Nakamura |
| 2017 | SMC | Object detection of satellite images using multi-channel higher-order local autocorrelation. | Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa, Hiroki Miyamoto, Ryosuke Nakamura |