Physics-Guided Multi-Objective Deep Learning for Ultrasound RF Data Interpolation in Resource-Constrained Imaging

arXiv:2609.28775 · eess.IV, cs.LG · Submitted 2026-09-23 · Read on arXiv

eess.IV, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Sparsity — 22× in this paper · explained in 4 episodes
• Robustness — 21× in this paper · explained in 5 episodes
• Aperture — 16× in this paper · explained in 1 episode
• Generalization — 11× in this paper · explained in 13 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Accuracy — 6× in this paper · explained in 1 episode
• Adaptive Weighting — 4× in this paper · explained in 1 episode
• Exponential Moving Average — 4× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Exponential Moving Average (EMA) — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Inverse Problem — 2× in this paper · explained in 2 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Objective Mismatch — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• International Symposium on Biomedical Imaging — 1× in this paper
• Matrix Completion — 1× in this paper · explained in 4 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging

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