Lennart Bastian

Lennart Bastian is a PhD Student at the Chair of Computer Aided Medical Procedures (Prof. Navab) at Technische Universität München. His research focuses on Surgical Data Science, 3D Computer Vision, and Medical Imaging, with specific interests in 3D Reconstruction, Pointcloud Segmentation, and Scene Understanding.

His recent work includes advancements in Operating Room semantics, holistic face anonymization, and scalable statistical shape modeling. Across 2025, his publications demonstrate strong engagement with topological neural networks, SO(3) forecasting, and 3D shape matching algorithms for medical applications.

Lennart has supervised numerous student projects, including

• Learning Robust Deformation Energies
• Neural Interpolation for Dynamic 6D Pose
• Weakly Supervised Segmentation

in collaboration with the Chair of Computer Science Applications in Medicine.