Michelle Noga

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About

Michelle Noga is a leading researcher at the intersection of robotics and medical imaging, specializing in autonomous and semi-autonomous robotic ultrasound systems. Her work directly addresses critical challenges in echocardiography, including operator-induced variability, sonographer musculoskeletal strain, and the limited field of view inherent to traditional cardiac ultrasound. Noga’s major contributions include pioneering force-controlled robotic arms for echocardiography scanning (2024, 2 citations), enabling safer and more consistent cardiac evaluations. She has also advanced robot-assisted multiview fusion of three-dimensional echocardiography (2023, 2 citations), a phantom study that expands diagnostic capabilities by overcoming field-of-view limitations. Her comprehensive survey on autonomous robotic ultrasound scanning systems (2025, 3 citations) synthesizes the state of the art in teleoperated and semi-autonomous approaches, establishing a foundational reference for the field. With a growing citation impact, Noga’s work is instrumental in making ultrasound imaging more accessible, reducing physical burden on sonographers, and improving diagnostic accuracy—paving the way for next-generation, robot-assisted cardiac care.