Ernesto Bernal

Hospital Clínico Universitario Lozano Blesa

Papers

Total Citations

163

H-Index

About

Ernesto Bernal is a leading researcher at the intersection of computer vision and medical robotics, whose work has fundamentally advanced intraoperative navigation and 3D reconstruction from endoscopic imagery. His primary research areas include simultaneous localization and mapping (SLAM), monocular depth estimation, and computer-assisted surgery. Bernal’s most influential contribution is his pioneering application of visual SLAM to handheld monocular endoscopes, demonstrating that real-time 3D model estimation is possible from the sole input of a moving camera in minimally invasive procedures. His seminal 2013 paper on this topic has garnered 158 citations, establishing a foundational framework for surgical navigation systems that operate without external tracking hardware. In subsequent work, he prospectively validated computer vision distance measurement techniques for laparoscopic ventral hernia repair, bridging the gap between algorithmic development and clinical utility. Bernal’s research has been instrumental in transforming standard endoscopic video into a source of spatial intelligence, enabling safer, more precise surgical interventions. His contributions continue to inspire advances in autonomous medical imaging and real-time surgical guidance.