Pit Henrich

Karlsruhe Institute of Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg

Papers

Total Citations

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About

Pit Henrich is a rising researcher in the field of computer-assisted surgery, with a primary focus on neurosurgical planning and intraoperative guidance. His work centers on developing computational methods to enhance the safety and precision of brain tumor resections, addressing critical challenges such as risk minimization and real-time tumor tracking. Henrich’s major contributions include a multimodal, risk-based path planning framework for neurosurgical interventions, which optimizes surgical trajectories to avoid damaging vital brain structures. This work, published in 2021, has already garnered 4 citations, signaling its relevance to the surgical robotics community. More recently, Henrich has pioneered the use of occupancy networks to track tumors under deformation from partial point clouds, a technique that compensates for tissue movement during surgery. This 2024 publication, with 3 citations, tackles a major hurdle in surgical accuracy—accounting for organ deformation in real time. By integrating preoperative imaging with intraoperative data, Henrich’s research promises to reduce operation times and improve patient outcomes. His work is particularly notable for bridging the gap between advanced machine learning models and practical clinical applications, positioning him as a key contributor to the next generation of intelligent surgical tools.