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2020 – today
- 2025
[c5]Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation. ICLR 2025- [c4]Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers. WACV 2025: 64-74 - [i7]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:
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations. CoRR abs/2502.16697 (2025) - [i6]Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold:
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis. CoRR abs/2503.09808 (2025) - [i5]Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold:
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis. CoRR abs/2503.11846 (2025) - 2024
- [c3]Anna Banaszak, Alexander H. Berger
, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold:
Supervised Contrastive Learning for Image-to-Graph Transformers. GRAIL@MICCAI 2024: 1-11 - [c2]Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. GRAIL@MICCAI 2024: 43-56 - [c1]Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topologically Faithful Multi-class Segmentation in Medical Images. MICCAI (8) 2024: 721-731 - [i4]Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers. CoRR abs/2403.06601 (2024) - [i3]Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topologically faithful multi-class segmentation in medical images. CoRR abs/2403.11001 (2024) - [i2]Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation. CoRR abs/2411.03228 (2024) - [i1]Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Pitfalls of topology-aware image segmentation. CoRR abs/2412.14619 (2024)
Coauthor Index
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