Johannes Benedikt Schiefelbein

REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye disease

REECAP uses contrastive learning to link retinal aging patterns with genetic loci associated with eye diseases, identifying 178 loci including 27 linked to age-related eye diseases.

Reconstructing disease dynamics for mechanistic insights and clinical benefit

The paper introduces TimeAx, an algorithm for analyzing disease progression dynamics using time-series data, identifying key molecular transitions and clinical insights in urothelial bladder cancer.

Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy

The paper proposes a self-supervised method to predict retinal thickness from fundus images, enabling efficient diabetic retinopathy classification with fewer annotations.