Author

H. Tregidgo

3 papers indexed here

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Preprint Sep 2026

Uncertainty-Aware 3D Residual Wavelet Diffusion for Ultra Low-Field MRI Super-Resolution

Ultra low-field MRI expands global access to neuroimaging but produces scans with low signal-to-noise ratio, reduced contrast, and thick slices. While regression-based super-resolution can recover anatomical detail for segmentation, it returns a single deterministic estimate that gives no indication of regions where th...

Rui W. Yeow, Millie Beament, F. Dick et al. · 0 citations

#artificial intelligence Mar 2026

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

MPFlow is proposed, a zero-shot multi-modal reconstruction framework built on rectified flow that incorporates auxiliary MRI modalities at inference time without retraining the generative prior to improve anatomical fidelity.

Seung-Sik Kim, Chen Jin, H. Tregidgo et al. · arXiv.org · 0 citations

Open access Sep 2026

ClinSeg: Robust Brain Segmentation for Clinically Acquired Pediatric MRI

Clinical brain MRIs from pediatric health systems represent a viable resource for modeling early neurodevelopmental trajectories and studying neurodevelopmental risk in real-world populations. However, a limitation to date has been the performance of existing segmentation tools for measuring various brain phenotypes in...

E. Levitis, H. Tregidgo, D. Zimmerman et al. · medRxiv · 0 citations