Christine Eilers

Papers

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About

Christine Eilers is a leading researcher at the intersection of robotics, medical imaging, and artificial intelligence, with a primary focus on advancing robotic ultrasound (US) systems for clinical diagnostics and therapy. Her major contributions lie in developing intelligent, physics-informed methods to overcome the inherent limitations of conventional ultrasound, such as user dependency and acoustic shadowing. Her most cited work, "RSV: Robotic Sonography for Thyroid Volumetry" (2022, 29 citations), directly addresses a critical need in nuclear medicine by automating thyroid volume measurement for radioiodine therapy planning, replacing error-prone manual 2D ultrasound with precise robotic acquisition. Eilers further pushes the boundaries of the field with "Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging" (2023, 16 citations), a pioneering application of implicit neural representations that learns tissue properties from overlapping sweeps for novel view synthesis. In "Acoustic Shadowing Aware Robotic Ultrasound: Lighting up the Dark" (2022, 9 citations), she tackles the pervasive problem of acoustic shadows by enabling robotic systems to intelligently navigate around obstructions. Through these innovative works, Eilers is establishing a new paradigm for autonomous, accurate, and interpretable ultrasound, with direct implications for improving patient outcomes in endocrinology and beyond.