2 papers
cs.HC2025
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Mischa Dombrowski, Andrea Prenner, Bernhard Kainz
Machine Learning (ML) models have gained popularity in medical imaging analysis given their expert level performance in many medical domains. To enhance the trustworthiness, accept…
eess.IV2024
Prediction of Cardiovascular Risk Factors from Retinal Fundus Images using CNNs
Andrea Prenner
Early detection of cardiovascular disease risk factors is essential to alter the course of the disease. Previous studies showed that deep learning can successfully be used to detec…