Danilo Briese

Siemens Healthineers (Germany), Otto-von-Guericke University Magdeburg

Papers

Total Citations

H-Index

About

Danilo Briese’s research lies at the intersection of robotics and medical imaging, with a focused expertise in calibration and registration techniques essential for modern surgical systems. His work addresses a critical challenge: enabling robots to operate with precision in the complex, shared space of an operating room. Briese’s most cited paper, “Registration of a robotic system to a medical imaging system” (2015, 7 citations), explores the vital process of aligning a robot’s coordinate system with imaging data, a foundational step for image-guided interventions. This work underscores the shift from industrial robots confined to cages to collaborative machines working in close proximity to humans. Building on this, his paper “Hand-eye calibration using dual quaternions in medical environment” (2014, 3 citations) applies a sophisticated mathematical framework—dual quaternions—to solve the classic hand-eye calibration problem in a medical context. This approach improves the estimation of the rigid transformation between a measurement tool and a medical device, enhancing accuracy for localization systems. While his citation counts reflect a focused, early-career impact, Briese’s contributions are significant for advancing the reliability and safety of robotic-assisted surgery, laying groundwork for future innovations in minimally invasive procedures.