AI RESEARCH
Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging
arXiv CS.AI
•
ArXi:2604.12709v1 Announce Type: cross Task-adapted compressed sensing magnetic resonance imaging (CS-MRI) is emerging to address the specific demands of downstream clinical tasks with significantly fewer k-space measurements than required by Nyquist sampling. However, existing task-adapted CS-MRI methods suffer from the uncertainty problem for medical diagnosis and cannot achieve adaptive sampling in end-to-end optimization with reconstruction or clinical tasks.