Digital image watermarking method using between-class variance. - Kazuki Yamato; Madoka Hasegawa; Yuichi Tanaka 001; Shigeo Kato (ICIP, 2012)

Image restoration using similar region search and digital watermark. - Kazuki Yamato; Madoka Hasegawa; Kazuma Shinoda; Shigeo Kato; Yuichi Tanaka 001 (APSIPA, 2013)

Reversible data hiding based on two-dimensional histogram and generalized histogram shifting. - Kazuki Yamato; Kazuma Shinoda; Madoka Hasegawa; Shigeo Kato (ICIP, 2014)

Two-dimensional histogram expansion of wavelet coefficient for reversible data hiding. - Kazuki Yamato; Kazuma Shinoda; Madoka Hasegawa; Shigeo Kato (VCIP, 2014)

Temporally Coded Exposure Camera for High-Speed Feedback of Microscopic 3D Information. - Kazuki Yamato; Toshihiko Yamashita; Hiroyuki Chiba; Hiromasa Oku (ROBIO, 2018)

1-ms Three-Dimensional Feedback Microscope With 69-kHz Synchronous Modulation of Focal Position and Illumination. - Kazuki Yamato; Hiroyuki Chiba; Toshihiko Yamashita; Hiromasa Oku (IEEE Robotics Autom. Lett., 2018)

Fast Volumetric Feedback under Microscope by Temporally Coded Exposure Camera. - Kazuki Yamato; Toshihiko Yamashita; Hiroyuki Chiba; Hiromasa Oku (Sensors, 2019)

Simulfocus imaging: quasi-simultaneous multi-focus imaging using Lock-in Pixel imager and TAG lens. - Hiromasa Oku; Kazuki Yamato; Yusuke Tanaka; Keita Yasutomi; Shoji Kawahito (SIGGRAPH Emerging Technologies, 2020)

High Speed Three Dimensional Tracking of Swimming Cell by Synchronous Modulation Between TeCE Camera and TAG Lens. - Kazuki Yamato; Hiroyuki Chiba; Hiromasa Oku (IEEE Robotics Autom. Lett., 2020)

Super-Resolution Magnetic Resonance Imaging using Segmented Signals in Phase-Scrambling Fourier Transform Imaging and Deep Learning. - Kazuki Yamato; Satoshi Ito (ICIP, 2022)

Near Hue-Preserving Reversible Contrast and Saturation Enhancement Using Histogram Shifting. - Rio Kurokawa; Kazuki Yamato; Madoka Hasegawa (IEICE Trans. Inf. Syst., 2022)

High-Speed and Low-Latency 3D Fluorescence Imaging for Robotic Microscope. - Kazuki Yamato; Masatoshi Iuchi; Hiromasa Oku (J. Robotics Mechatronics, 2022)

Deep Learning-based MRI Super-Resolution Using Non-uniform Segmented Phase-Scrambling Fourier Transform Signals. - Kazuki Yamato; Shuntaro Fujisawa; Satoshi Ito (APSIPA ASC, 2023)

Super-Resolution for MRI Using Phase-Scrambling Fourier Transform Imaging and Unrolling Model-Based Network. - Kazuki Yamato; Satoshi Ito (IEEE Access, 2023)

Sampling Pattern Augmentation to Enhance Deep Learning-based Image Reconstruction of MRI. - Kazuki Yamato; Satoshi Ito (APSIPA, 2024)

Improvement of Image Reconstruction for MRI Using Phase-Scrambling Fourier Transform and Dual-Domain Strategy. - Kazuki Yamato; Satoshi Ito (ICIP, 2024)