Rao Gullapalli

University of Maryland, Baltimore, University of Mary

Papers

Total Citations

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About

Rao Gullapalli is a pioneering researcher at the intersection of medical robotics and advanced imaging, whose work has significantly advanced the precision of MRI-guided interventions. His primary research areas include MRI-compatible robotic systems, haptic feedback for surgical tools, and multimodal imaging integration. Gullapalli’s major contributions center on the development of teleoperated needle driver robots for radiofrequency ablation (RFA) of breast tumors under continuous MRI—a critical innovation that addresses the limitations of standard RFA procedures by enabling real-time, high-accuracy tumor targeting. His most cited work (67 citations) establishes a foundational platform for haptic feedback in this context, enhancing surgical control and safety. Additionally, Gullapalli pioneered concurrent multiscale imaging, merging MRI’s wide field-of-view with optical coherence tomography’s high resolution to guide high-precision surgery. This novel approach, detailed in his 2013 paper, offers unprecedented visualization for intra-operative decision-making. Through these achievements, Gullapalli has not only advanced the feasibility of robot-assisted, image-guided therapies but also set a benchmark for integrating robotics with real-time imaging, directly impacting the future of minimally invasive cancer treatments.