4 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva, David Hurych, Victor Besnier +1
Automating visual inspection in industrial production lines is essential for increasing product quality across various industries. Anomaly detection (AD) methods serve as robust to…
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…