Yukari Hagihara

Papers

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About

Yukari Hagihara is a researcher whose work lies at the intersection of medical imaging and assistive technology, with a primary focus on improving clinical procedures through computer vision. Her most notable contribution is in the development of a visual vein segmentation system designed to support intravenous injections—one of the most common yet challenging medical practices. By automating the detection and mapping of veins, her research aims to reduce the physical and cognitive workload on medical professionals while increasing injection accuracy and patient comfort. Although her most cited paper, "Visual vein segmentation for an intravenous injection support system" (2013), has garnered modest citation counts, its applied nature highlights a practical, user-centered approach to solving real-world clinical problems. Hagihara’s work is part of a broader effort to integrate intelligent imaging systems into routine medical tasks, bridging the gap between algorithmic research and bedside utility. Her contributions are particularly relevant for students and researchers interested in medical image analysis, human-computer interaction, and the design of decision-support tools for healthcare.