activity
20222026
most citedSynthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images

Linus Kreitner, Laurin Lux, Carmen Baumann +2

Recent advances in angiographic imaging have enabled longitudinal visualization of the microvasculature. Image processing pipelines based on vessel graphs are able to resolve subtl…

cs.LG2025

Efficient numeracy in language models through single-token number embeddings

Linus Kreitner, Paul Hager, Jonathan Mengedoht +3

To drive progress in science and engineering, large language models (LLMs) must be able to process large amounts of numerical data and solve long calculations efficiently. This is…

cs.CV2025

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

Laurin Lux, Alexander H. Berger, Maria Romeo Tricas +8

Interpretability is crucial for utilizing machine learning models as clinical decision support tools for medical diagnostics. However, most state-of-the-art image classifiers based…

eess.IV2023★ 1 cited

Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations

Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch +11

Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality that can acquire high-resolution volumes of the retinal vasculature and aid the diagnosis of ocul…

eess.IV2022★ 1 cited

Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias

Linus Kreitner, Ivan Ezhov, Daniel Rueckert +2

Recent studies suggest that early stages of diabetic retinopathy (DR) can be diagnosed by monitoring vascular changes in the deep vascular complex. In this work, we investigate a n…