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eess.IV2026
Bayesian Uncertainty-Aware MRI Reconstruction
Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander
We propose a novel framework for joint magnetic resonance image reconstruction and uncertainty quantification using under-sampled k-space measurements. The problem is formulated as…
eess.IV2026
Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis
Junkai Liu, Nay Aung, Theodoros N. Arvanitis +3
Missing data problems, such as missing modalities in multi-modal brain MRI and missing slices in cardiac MRI, pose significant challenges in clinical practice. Existing methods rel…