S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences. - Lennart Bastian; Alexander Baumann; Emily Hoppe; Vincent Bürgin; Ha Young Kim; Mahdi Saleh; Benjamin Busam; Nassir Navab (MICCAI (10), 2023)

On the Localization of Ultrasound Image Slices Within Point Distribution Models. - Lennart Bastian; Vincent Bürgin; Ha Young Kim; Alexander Baumann; Benjamin Busam; Mahdi Saleh; Nassir Navab (ShapeMI@MICCAI, 2023)

Robust Vertebra Identification Using Simultaneous Node and Edge Predicting Graph Neural Networks. - Vincent Bürgin; Raphael Prevost; Marijn F. Stollenga (MICCAI (9), 2023)

Topologically Faithful Multi-class Segmentation in Medical Images. - Alexander H. Berger; Laurin Lux; Nico Stucki; Vincent Bürgin; Suprosanna Shit; Anna Banaszak; Daniel Rueckert; Ulrich Bauer; Johannes C. Paetzold (MICCAI (8), 2024)

Efficient Betti Matching Enables Topology-Aware 3D Segmentation via Persistent Homology. - Nico Stucki; Vincent Bürgin; Johannes C. Paetzold; Ulrich Bauer (CoRR, 2024)