Fast multiresolution Gabor Transform based on synthesis of high frequency resolution spectrum from low frequency resolution spectra. - Ryosuke Takayama; Shuichi Arai (GlobalSIP, 2014)

Three-Dimensional CT Image Segmentation by Combining 2D Fully Convolutional Network with 3D Majority Voting. - Xiangrong Zhou; Takaaki Ito; Ryosuke Takayama; Song Wang 002; Takeshi Hara; Hiroshi Fujita 001 (LABELS/DLMIA@MICCAI, 2016)

Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach. - Xiangrong Zhou; Ryosuke Takayama; Song Wang 002; Xinxin Zhou; Takeshi Hara; Hiroshi Fujita 001 (Image Processing, 2017)

Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images. - Xiangrong Zhou; Kazuma Yamada; Takuya Kojima; Ryosuke Takayama; Song Wang 002; Xinxin Zhou; Takeshi Hara; Hiroshi Fujita 001 (Computer-Aided Diagnosis, 2018)

Nonstationary and Sparse Linear Regression for State Prediction of Artificial Systems. - Ryosuke Takayama; Takehisa Yairi; Nana Tamai (SICE, 2022)

A semi-supervised RUL prediction with likelihood-based pseudo labeling for suspension histories. - Ryosuke Takayama; Masanao Natsumeda; Takehisa Yairi (ICPHM, 2023)

Constraint-Focused Training for Multistate Survival Analysis with Neural Networks. - Ryosuke Takayama; Masanao Natsumeda (SDM, 2025)