Papers
6
Total Citations
190
H-Index
4
About
Mirna Lerotic is a leading researcher at the intersection of computer vision, medical imaging, and robotic-assisted surgery. Her work focuses on enhancing visualization and control in minimally invasive procedures, with key contributions in non-photorealistic rendering for augmented reality and super-resolution imaging for surgical robots. Her most cited paper, “pq-space Based Non-Photorealistic Rendering for Augmented Reality” (2007, 83 citations), introduced a novel framework for stylized visualizations that improve depth perception and task efficiency in surgical contexts. She also co-authored “From medical images to minimally invasive intervention: Computer assistance for robotic surgery” (2009, 69 citations), which advanced the integration of preoperative imaging with real-time robotic guidance. Her research on dynamic active constraints for hyper-redundant flexible robots (2009, 29 citations) has been instrumental in developing safer, more precise surgical tools. Lerotic’s work in super resolution and in vivo image guidance has laid critical groundwork for patient-specific surgical planning and training. With a career spanning foundational papers in augmented reality and surgical robotics, her contributions continue to shape how clinicians interact with complex visual data during intervention.
Research Focus
Key Achievements
Top Papers
- 1pq-space Based Non-Photorealistic Rendering for Augmented Reality83 citations · 2007
- 2
- 3Dynamic Active Constraints for Hyper-Redundant Flexible Robots29 citations · 2009
- 4
- 5
- 6Super resolution in robotic-assisted minimally invasive surgery2 citations · 2007