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Lukas Oldenburg

2 accepted papers

2024

Transcriptomics-guided Slide Representation Learning in Computational Pathology

CVPR 2024poster

Self-supervised learning (SSL) has been successful in building patch embeddings of small histology images (e.g. 224 x 224 pixels) but scaling these models to learn slide embeddings from the entirety of giga-pixel whole-slide images (WSIs) remains challenging. Here we leverage complementary informati…

2022

Utilizing Expert Features for Contrastive Learning of Time-Series Representations

ICML 2022spotlight

We present an approach that incorporates expert knowledge for time-series representation learning. Our method employs expert features to replace the commonly used data transformations in previous contrastive learning approaches. We do this since time-series data frequently stems from the industrial…