Manuela Capek
Papers
3
Total Citations
142
H-Index
3
About
Manuela Capek is a leading researcher at the intersection of artificial intelligence and minimally invasive surgery, with a primary focus on surgical data science. Her work centers on developing machine learning algorithms for automated surgical workflow analysis, skill assessment, and real-time scene understanding in laparoscopic procedures. Capek’s major contributions include the creation and validation of the HeiChole benchmark, a pivotal dataset that enables standardized evaluation of algorithms for surgical phase recognition and skill analysis, as detailed in her highly cited 2023 paper (96 citations). She has also advanced deep learning techniques for semantic segmentation of organs and tissues in laparoscopic video, a critical step toward context-aware cognitive surgical assistance systems. Her research, which has garnered over 140 citations, directly supports the development of semi-autonomous robotic assistance and improved surgical training. By establishing rigorous validation frameworks and pushing the boundaries of computer vision in the operating room, Capek is helping to lay the foundation for the next generation of safer, smarter surgical technologies.
Research Focus
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Top Papers
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