Laurin Lux

According to our database, Laurin Lux authored at least 11 papers between 2024 and 2025.

Collaborative distances:

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

2025

A Learnable Prior Improves Inverse Tumor Growth Modeling.

Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard F. Feiner, Laurin Lux, Florian Kofler, Jana Lipková, Jonas Latz, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler

IEEE Trans. Medical Imaging, March, 2025

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.

Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold

CoRR, March, 2025

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis.

Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold

CoRR, March, 2025

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations.

Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Alaa E. Fayed, Sobha Sivaprasad, Linus Kreitner, Jonas Weidner, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

CoRR, February, 2025

Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers.

Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Pitfalls of Topology-Aware Image Segmentation.

Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

Proceedings of the Information Processing in Medical Imaging, 2025

Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.

Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning.

Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rückert, Bjoern H. Menze, Benedikt Wiestler

CoRR, 2024

Exploring Graphs as Data Representation for Disease Classification in Ophthalmology.

Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Supervised Contrastive Learning for Image-to-Graph Transformers.

Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold

Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024