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Found 4 papers, 0 papers with code
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos
Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is limited.
Weakly Semi-Supervised Detection in Lung Ultrasound Videos
Frame-by-frame annotation of bounding boxes by clinical experts is often required to train fully supervised object detection models on medical video data.
A Learn-and-Control Strategy for Jet-Based Additive Manufacturing
This approach is applied for feedforward predictive control in which the network parameters are learned offline from previous data and the control input pattern for all layers to be printed is synthesized.
Automatic ultrasound vessel segmentation with deep spatiotemporal context learning
Accurate, real-time segmentation of vessel structures in ultrasound image sequences can aid in the measurement of lumen diameters and assessment of vascular diseases.
