6 citations · 6 across the 3 of their papers we have counts for
3 papers
Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction
Hyunho Mo, Djura Smits, Mahlet A. Birhanu +4
Cardiovascular disease risk prediction models often rely on data from a single institution or centrally pooled datasets. Extending these models across institutions could be limited…
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning
Pedro Mateus, Swier Garst, Jing Yu +19
Biological age scores are an emerging tool to characterize aging by estimating chronological age based on physiological biomarkers. Various scores have shown associations with agin…
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
Carole H. Sudre, Kimberlin Van Wijnen, Florian Dubost +46
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and…