Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction

arXiv:2609.38644 · eess.IV, cs.CV · Submitted 2026-09-29 · Read on arXiv

eess.IV, cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/cc0231/flowvn_jssl

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Frozen model — 5× in this paper · explained in 3 episodes
• Self-Supervised Learning — 3× in this paper · explained in 7 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Angular Error — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• GENRE-CMR: Generalizable Deep Learning for Diverse Multi-Domain Cardiac MRI Reconstruction
• Joint Supervised and Self-supervised Learning for MRI Reconstruction

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