Lux, Laurin

6 publications

MIDL 2026 Beyond Scalar Losses: Calibrating Segmentation Models via Gradient Vector Field Surgery Laurin Lux, Alexander H. Berger, Moritz Knolle, Daniel Rückert, Johannes C. Paetzold

MIDL 2026 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

MIDL 2026 SegMaST: Mamba-Based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation Aswathi Varma, Jonas Weidner, Laurin Lux, Cosmin Bercea, Mark Mühlau, Jan Kirschke, Benedikt Wiestler, Daniel Rueckert

MIDL 2026 Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning Chenjun Li, Cheng Wan, Laurin Lux, Alexander H. Berger, Richard B. Rosen, Martin J. Menten, Johannes C. Paetzold

WACV 2025 Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhof, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

ICLR 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