Juan Antonio Barragan — accepted AI-conference papers

2024

Realistic Data Generation for 6D Pose Estimation of Surgical Instruments

Juan Antonio Barragan, Jintan Zhang, Haoying Zhou, Adnan Munawar, Peter Kazanzides

ICRA 2024poster

Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need for robust perception algorithms. In particular, 6D pose estimation of surgical instruments is critical to enable the automatic execution of surgical ma…

Cited by 6 Source ↗code ↗Scholar ↗

2023

Improving Surgical Situational Awareness with Signed Distance Field: A Pilot Study in Virtual Reality

Hisashi Ishida, Juan Antonio Barragan, Adnan Munawar, Zhaoshuo Li, Andy Ding, Peter Kazanzides +3

IROS 2023poster

The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surgeon during surgery. To develop effective IGSN, a careful selection of the surgical information and the medium to present…

Cited by 5 Source ↗Scholar ↗