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eess.IV2024
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning
Arnaud Judge, Thierry Judge, Nicolas Duchateau +4
Performance of deep learning segmentation models is significantly challenged in its transferability across different medical imaging domains, particularly when aiming to adapt thes…
cs.CV2024★ 1 cited
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Nathan Painchaud, Jérémie Stym-Popper, Pierre-Yves Courand +4
Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provi…