Masahide Yoneyama

Papers

Total Citations

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About

Masahide Yoneyama has made pioneering contributions at the intersection of neural networks and ultrasonic imaging, laying early groundwork for intelligent sensing systems. His most influential work, "An Ultrasonic Robot Eye Using Neural Networks" (1991), introduced a novel approach to robotic perception by combining ultrasonic sensors with neural processing—a concept that has garnered 16 citations and remains a reference point in bio-inspired robotics. Yoneyama further advanced the field with his development of a nonlinear ultrasonic imaging method based on the modified information criterion (1996), offering a principled framework for enhancing image quality in challenging environments. He also explored the restoration of millimeter-wave images using Hopfield neural networks (1996), demonstrating how recurrent architectures could recover degraded signals. Though his citation counts reflect a focused, niche impact, Yoneyama’s work anticipated key themes in computational sensing and neural signal processing. His research continues to inspire engineers working on autonomous navigation, non-destructive testing, and medical imaging, where the fusion of neural computation with acoustic and millimeter-wave technologies remains a vibrant area of exploration.