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Single Plane-Wave Imaging using Physics-Based Deep Learning
We compare our proposed data-to-image network with an image-to-image network in simulated data experiments, mimicking a medical ultrasound application.
Deep Learning for Multi-View Ultrasonic Image Fusion
These different modes give rise to multiple DAS images reflecting different geometric information about the scatterers and the challenge is to either fuse them into one image or to directly extract higher-level information regarding the materials of the medium, e. g., a segmentation map.
Fast ultrasonic imaging using end-to-end deep learning
Ultrasonic imaging algorithms used in many clinical and industrial applications consist of three steps: A data pre-processing, an image formation and an image post-processing step.
Deep data compression for approximate ultrasonic image formation
This demonstrates the great potential of deep ultrasonic data compression tailored for a specific image formation method.
