Surgical Data Science

About

The CAMP Surgical Data Science team pioneers modern understanding of operating rooms with a focus on holistic understanding and workflow analysis. By employing 3D computer vision, we aim to transform how surgical procedures are analyzed and supported, covering both the internal laparoscopic views and macroscopic activities captured by external room cameras. This comprehensive approach enables a deep dive into the nuances of surgical workflows, facilitating the development of technologies that enhance efficiency, safety, and outcomes in the operating room. Our work sets the foundation for the next generation of intelligent operating environments, where data-driven insights and 3D visualizations play a critical role in advancing surgical practices and improving patient safety.

Group Coordination

Lennart Bastian

Group Members

Ege Özsoy
Felix Holm
Felix Tristram
Kun Yuan
Mayar Mostafa
Angelo Henriques (w/ Prof. Dr. Ali Nasseri)

Masters Students:

Tony Wang

Alumni:

Tobias Czempiel

Recent Publications

ICCV SG2RL 2023	Dynamic Scene Graph Representation for Surgical Video
MICCAI 2023	LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
MICCAI 2023	SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation
IPCAI 2023	DisguisOR: holistic face anonymization for the operating room
MICCAI 2022	4D-OR: Semantic Scene Graphs for OR Domain Modeling
MICCAI 2021	OperA: Attention-Regularized Transformers for Surgical Phase Recognition
MICCAI 2020	TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks

Location

IFL: Interdisziplinäres Forschungslabor

Klinikum rechts der Isar
Ismaninger Str. 22
81675 München
Room: 01.01.3a-c (basement floor)
Phone: +49 (89) 4140-6457
Fax: +49 (89) 4140-6458