Laurin Lux

22 papers A* 1A 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Learnable Prior Improves Inverse Tumor Growth Modeling.
IEEE Trans. Medical Imaging
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
2025 — conf
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration.
CMMCA@MICCAI
Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
2025 — conf
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
SIPAIM
Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov
2025 J jnl
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
CoRR
Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov
2025 A conf
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers.
WACV
Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025 — conf
Fine-Tuning Vision Language Models with Graph-Based Knowledge for Explainable Medical Image Analysis.
MICCAI (14)
Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold
2025 J jnl
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis.
CoRR
Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold
2025 J jnl
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.
CoRR
Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold
2025 J jnl
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations.
CoRR
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
2025 — conf
Pitfalls of Topology-Aware Image Segmentation.
IPMI (1)
Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2025 — conf
Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis from Hyperspectral Imaging.
CMMCA@MICCAI
Martin Hartenberger, Huzeyfe Ayaz, Fatih Ozlugedik, Charly Caredda, Luca Giannoni, Frédéric Lange, Laurin Lux, Jonas Weidner, Alexander H. Berger, Florian Kofler, Martin J. Menten, Bruno Montcel, Ilias Tachtsidis, Daniel Rueckert, Ivan Ezhov
2025 J jnl
Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning.
CoRR
Chenjun Li, Cheng Wan, Laurin Lux, Alexander H. Berger, Richard B. Rosen, Martin J. Menten, Johannes C. Paetzold
2025 A* conf
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR
Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 J jnl
A Learnable Prior Improves Inverse Tumor Growth Modeling.
CoRR
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
2024 J jnl
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers.
CoRR
Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024 — conf
Exploring Graphs as Data Representation for Disease Classification in Ophthalmology.
GRAIL@MICCAI
Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
Pitfalls of topology-aware image segmentation.
CoRR
Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning.
CoRR
Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rückert, Bjoern H. Menze, Benedikt Wiestler
2024 — conf
Supervised Contrastive Learning for Image-to-Graph Transformers.
GRAIL@MICCAI
Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold
2024 J jnl
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
CoRR
Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 — conf
Topologically Faithful Multi-class Segmentation in Medical Images.
MICCAI (8)
Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
2024 J jnl
Topologically faithful multi-class segmentation in medical images.
CoRR
Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold