no code implementations • 6 Dec 2023 • Lennart Bastian, Yizheng Xie, Nassir Navab, Zorah Lähner
Non-isometric shape correspondence remains a fundamental challenge in computer vision.
1 code implementation • 1 Sep 2023 • Lennart Bastian, Vincent Bürgin, Ha Young Kim, Alexander Baumann, Benjamin Busam, Mahdi Saleh, Nassir Navab
We demonstrate that our multi-modal registration framework can localize images on the 3D surface topology of a patient-specific organ and the mean shape of an SSM.
1 code implementation • 26 Jul 2023 • Lennart Bastian, Tony Danjun Wang, Tobias Czempiel, Benjamin Busam, Nassir Navab
Methods: RGB and depth images from multiple cameras are fused into a 3D point cloud representation of the scene.
1 code implementation • 15 Apr 2023 • Lennart Bastian, Alexander Baumann, Emily Hoppe, Vincent Bürgin, Ha Young Kim, Mahdi Saleh, Benjamin Busam, Nassir Navab
Statistical shape models (SSMs) are an established way to represent the anatomy of a population with various clinically relevant applications.
no code implementations • 16 Mar 2022 • Lennart Bastian, Tobias Czempiel, Christian Heiliger, Konrad Karcz, Ulrich Eck, Benjamin Busam, Nassir Navab
Existing datasets from OR room cameras are thus far limited in size or modalities acquired, leaving it unclear which sensor modalities are best suited for tasks such as recognizing surgical action from videos.