Alexandra S. Gersing

According to our database, Alexandra S. Gersing authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT.

Matan Atad, Alexander W. Marka, Lisa Steinhelfer, Anna Curto-Vilalta, Yannik Leonhardt, Sarah C. Foreman, Anna-Sophia Dietrich, Robert Graf, Alexandra S. Gersing, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke, Hendrik Kristian Möller

CoRR, December, 2025

2024

Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.

Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

2022

Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.

Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Ashkan Khakzar, Nassir Navab

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022