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#diffusion models Open access Sep 2026

DiffINR: conditional neural field diffusion for deformation-driven volumetric image estimation from limited measurements

DiffINR shows high robustness to data distribution shifts at test time, including dataset changes, limited-angle setting variations, and different MRI sampling sparsity levels, and achieves fast and accurate deformation-driven volumetric image estimation.

Xiao-Xue Qian, Hua-Chieh Shao, You Zhang · 0 citations
Open access Aug 2026

S2V-DREME: a time-resolved slice-to-volume MR image reconstruction framework with dynamic reconstruction and motion estimation

By combining a novel step-and-shoot acquisition protocol with motion-compensated one-shot learning, S2V-DREME enables accurate time-resolved volumetric MRI reconstruction and motion tracking from cineslices, with strong potential for rapid volumetric imaging and real-time MR-guided adaptive radiotherapy.

Xiao-Xue Qian, Hua-Chieh Shao, Jie Deng et al. · 0 citations

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