Julio Lobo
Papers
6
Total Citations
135
H-Index
5
About
Julio Lobo is a biomedical engineer and researcher specializing in image-guided surgical systems, medical robotics, and intraoperative imaging for urological oncology. His work has been instrumental in advancing augmented reality and ultrasound-based navigation tools for robot-assisted laparoscopic radical prostatectomy (RALRP), one of the most technically demanding minimally invasive procedures in urological surgery. Lobo's most significant contributions center on integrating real-time transrectal ultrasound with preoperative MRI data to provide surgeons with richer spatial awareness during robotic prostatectomy. His 2019 paper on a partial augmented reality system fusing live ultrasound with registered MRI has garnered 44 citations, reflecting strong community interest in bridging preoperative planning with intraoperative execution. His earlier 2014 work describing a robotic TRUS tracking system synchronized with the da Vinci Surgical System — also with 43 citations — demonstrated early clinical feasibility of this approach. Complementing these efforts, his 2018 research introduced real-time finite element model-based deformable image registration, addressing the challenge of tissue deformation during surgery. Collectively, Lobo's research has helped establish a technical foundation for smarter, image-enriched robotic surgery, with implications for improving oncological outcomes and surgical precision in prostate cancer treatment.
Research Focus
Key Achievements
Top Papers
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