Luca Ulrich

Politecnico di Torino

Papers

2

Total Citations

27

H-Index

2

About

Luca Ulrich is a pioneering researcher at the intersection of artificial intelligence and robotic surgery, with a primary focus on intraoperative safety systems and computer vision. His most impactful contribution is the development of the Bleeding Artificial Intelligence Detector (BLAIR) system for robotic radical prostatectomy, a groundbreaking framework that leverages convolutional neural networks to predict and detect intraoperative bleeding in real time. This work, which has garnered 25 citations since 2023, addresses one of the most critical challenges in robotic surgery—improving patient outcomes by enabling proactive hemorrhage management. Ulrich’s research extends to optical tool tracking with the MOTT (Modular Optical Tool Tracking) framework, a novel system designed for efficient benchmarking of 6DoF pose estimation in applications ranging from medical imaging to augmented reality. By creating standardized evaluation protocols, his work facilitates reproducibility and comparison across tracking algorithms, accelerating progress in precision manufacturing and surgical robotics. Ulrich’s contributions are notable for their translational potential, bridging deep learning with clinical practice to enhance surgical safety and efficiency. His research continues to shape the future of autonomous surgical systems and real-time visual sensing technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Development of Bleeding Artificial Intelligence Detector (BLAIR) System for Robotic Radical Prostatectomy
25 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Politecnico di Torino

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago