| 2021 | KDD | PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma. | Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Hiroshi Murata, Yuri Fujino, Kenji Yamanishi |
| 2019 | KDD | Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression. | Yuhui Zheng, Linchuan Xu, Taichi Kiwaki, Jing Wang, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
| 2018 | KDD | Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. | Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
| 2017 | KDD | Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes. | Toshimitsu Uesaka, Kai Morino, Hiroki Sugiura, Taichi Kiwaki, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
| 2015 | KDD | Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering. | Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
| 2013 | ICDM | Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements. | Zenghan Liang, Ryota Tomioka, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |