14 citations · 33 across the 36 of their papers we have counts for
4 papers · 1 filter
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…
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
Robbie Holland, Oliver Leingang, Hrvoje Bogunović +9
Deep learning has potential to automate screening, monitoring and grading of disease in medical images. Pretraining with contrastive learning enables models to extract robust and g…
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs
Martin J. Menten, Johannes C. Paetzold, Alina Dima +3
Optical coherence tomography angiography (OCTA) can non-invasively image the eye's circulatory system. In order to reliably characterize the retinal vasculature, there is a need to…
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling
Ivan Ezhov, Marcel Rosier, Lucas Zimmer +12
Solving the inverse problem is the key step in evaluating the capacity of a physical model to describe real phenomena. In medical image computing, it aligns with the classical them…