Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. - Ryu Tadokoro; Ryosuke Yamada; Kodai Nakashima; Ryo Nakamura; Hirokatsu Kataoka (BMVC, 2023)

Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation. - Ryu Tadokoro; Ryosuke Yamada; Hirokatsu Kataoka (CVPR Workshops, 2023)

Scaling Backwards: Minimal Synthetic Pre-Training? - Ryo Nakamura; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ECCV (15), 2024)

Rethinking Image Super-Resolution from Training Data Perspectives. - Go Ohtani; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka; Yoshimitsu Aoki (ECCV (17), 2024)

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. - Ryo Nakamura; Ryu Tadokoro; Eisuke Yamagata; Yusuke Kondo; Kensho Hara; Hirokatsu Kataoka; Nakamasa Inoue (ICASSP, 2024)

Masked Structural Point Cloud Modeling to Learning 3D Representation. - Ryosuke Yamada; Ryu Tadokoro; Yue Qiu 001; Hirokatsu Kataoka; Yutaka Satoh (IEEE Access, 2024)

Segmentation with Noisy Labels via Spatially Correlated Distributions. - Ryu Tadokoro; Tsukasa Takagi; Shin-ichi Maeda (CoRR, 2025)