Physics-Guided Multi-Objective Deep Learning for Ultrasound RF Data Interpolation in Resource-Constrained Imaging
This approach trains an end-to-end interpolation network using a hybrid supervision scheme that combines an RF-domain and a beamforming-domain loss with exponential moving average to stabilize the multi-objective training and introduces a random-skip masking strategy that varies sparsity patterns during training so a s...
Luo-Yuan Zhang, Yi-Yang You, Ananya Tandri et al.
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