5 papers
Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
Sofiane Ouaari, Kevin Vorwalder, Nico Pfeifer
Vision-Language Models (VLMs) are increasingly applied in medical tasks such as pathology description, report generation, and visual question answering. Medical Image Quality Asses…
Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
Valerie Bürger, Marlie Besouw, Jana Fehr +26
Meta-research and Trustworthy AI (TAI) share common goals, namely improving evidence, robustness, and transparency, yet there is very little interplay between the two fields. To in…
TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
Christopher Kolberg, Jules Kreuer, Jonas Huurdeman +3
Revealing novel insights from the relationship between molecular measurements and pathology remains a very impactful application of machine learning in biomedicine. Data in this do…
How Private Are DNA Embeddings? Inverting Foundation Model Representations of Genomic Sequences
Sofiane Ouaari, Jules Kreuer, Nico Pfeifer
DNA foundation models have become transformative tools in bioinformatics and healthcare applications. Trained on vast genomic datasets, these models can be used to generate sequenc…
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
Cem Ata Baykara, Ali Burak Ãnal, Nico Pfeifer +1
Machine learning models often struggle with generalization in small, heterogeneous datasets due to domain shifts caused by variations in data collection and population differences.…