Ozanan Meireles

Conference Proceedings IEEE International Conference on Robotics and Automation · January 1, 2025 Understanding and anticipating events and actions is critical for intraoperative assistance and decision-making during minimally invasive surgery. We propose a predictive neural network that is capable of understanding and predicting critical interaction a ... Full text Cite

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction

Conference Proceedings IEEE International Conference on Robotics and Automation · January 1, 2022 Temporal patterns (how vehicles behave in our observed past) underline our reasoning of how people drive on the road, and can explain why we make certain predictions about interactions among road agents. In this paper we propose the ConceptNet trajectory p ... Full text Cite

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows

Conference Proceedings IEEE International Conference on Robotics and Automation · January 1, 2021 Analyzing surgical workflow is crucial for surgical assistance robots to understand surgeries. With the understanding of the complete surgical workflow, the robots are able to assist the surgeons in intra-operative events, such as by giving a warning when ... Full text Cite

Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery

Conference Proceedings IEEE International Conference on Robotics and Automation · July 21, 2017 Context-aware segmentation of laparoscopic and robot assisted surgical video has been shown to improve performance and perioperative workflow efficiency, and can be used for education and time-critical consultation. Modern pressures on productivity preclud ... Full text Cite