Chantal Pellegrini
Papers
1
Total Citations
13
H-Index
1
About
Dr. Chantal Pellegrini is a leading researcher in surgical data science and multimodal perception for high-intensity clinical environments. Her work focuses on the semantic understanding of operating rooms (ORs), where she addresses the critical challenge of modeling complex interactions among surgical staff, tools, and equipment to improve patient safety and intraoperative assistance. Her landmark contribution, the "MM-OR" dataset—a large, multimodal OR dataset—has already garnered 13 citations since its 2025 publication, establishing a new benchmark for realism and scale in surgical scene understanding. This resource enables advanced AI systems to achieve situational awareness in dynamic, high-stakes settings, bridging the gap between computer vision and clinical practice. Dr. Pellegrini’s research is pivotal for developing next-generation surgical robots and decision-support tools, with her work recognized for its potential to transform how machines perceive and respond to the complexities of live surgery.
Research Focus
Key Achievements
Top Papers
- 1