A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data. - Hans Liebl; David Schinz; Anjany Sekuboyina; Luca Malagutti; Maximilian T. Löffler; Amirhossein Bayat; Malek El Husseini; Giles Tetteh; Katharina Grau; Eva Niederreiter; Thomas Baum; Benedikt Wiestler; et al. (CoRR, 2021)

Interpretable Vertebral Fracture Diagnosis. - Paul Engstler; Matthias Keicher; David Schinz; Kristina Mach; Alexandra S. Gersing; Sarah C. Foreman; Sophia S. Goller; Juergen Weissinger; Jon Rischewski; Anna-Sophia Dietrich; Benedikt Wiestler; Jan S. Kirschke; et al. (iMIMIC@MICCAI, 2022)

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading. - Matthias Keicher; Matan Atad; David Schinz; Alexandra S. Gersing; Sarah C. Foreman; Sophia S. Goller; Juergen Weissinger; Jon Rischewski; Anna-Sophia Dietrich; Benedikt Wiestler; Jan S. Kirschke; Nassir Navab (CoRR, 2023)

Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis. - Lukas Buess; Marijn F. Stollenga; David Schinz; Benedikt Wiestler; Jan Kirschke; Andreas K. Maier; Nassir Navab; Matthias Keicher (MIDL, 2024)

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. - Poulami Sinhamahapatra; Suprosanna Shit; Anjany Sekuboyina; Malek El Husseini; David Schinz; Nicolas Lenhart; Bjoern H. Menze; Jan Kirschke; Karsten Roscher; Stephan Günnemann (CoRR, 2024)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder. - Matan Atad; David Schinz; Hendrik Kristian Möller; Robert Graf; Benedikt Wiestler; Daniel Rueckert; Nassir Navab; Jan S. Kirschke; Matthias Keicher (CoRR, 2024)