Bernard De Bruyne
According to our database1,
Bernard De Bruyne authored at least 7 papers
between 2022 and 2026.
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Bibliography
2026
ODySSeI: An Open-Source End-to-End Framework for Automated Detection, Segmentation, and Severity Estimation of Lesions in Invasive Coronary Angiography Images.
CoRR, March, 2026
Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective.
Medical Image Anal., 2026
Geometric deep learning-based coronary wall shear stress estimation from real-world patients.
Comput. Biol. Medicine, 2026
2025
Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins.
CoRR, December, 2025
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography.
CoRR, July, 2025
2024
Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2022
Modelling coronary flows: impact of differently measured inflow boundary conditions on vessel-specific computational hemodynamic profiles.
Comput. Methods Programs Biomed., 2022