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About

Adrien Bartoli is a leading researcher in computer vision and medical robotics, with a primary focus on 3D reconstruction and augmented reality for minimally invasive surgery. His most impactful work, "Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery" (2013, 281 citations), has become a foundational reference in the field, enabling precise intraoperative visualization. Bartoli has made pioneering contributions to deformable object manipulation, as demonstrated in his work on monocular visual shape tracking and servoing (2020), which advanced robotic control from rigid to deformable objects. He has also developed innovative methods for Euclidean reconstruction independent of camera intrinsic parameters (2005), improving optimization efficiency. More recently, Bartoli has explored augmented reality in robot-assisted laparoscopic partial nephrectomies (2019) and introduced markerless ultrasound probe pose estimation (2024), enhancing surgical navigation without additional sensors. His latest work on landmark-free digital twin registration (2025) promises to streamline surgical planning. With over 300 citations across his key publications, Bartoli’s research continues to shape the future of computer-assisted surgery, bridging computer vision and clinical practice to improve patient outcomes.