Author

William Consagra

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Preprint Sep 2026

Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution

A novel transfer-learning framework is proposed that pre-trains an INR on a high-resolution template and then adapts it to subject-specific scans via registration and fine-tuning, outperforming competing INR-based methods across both image quality and domain-specific metrics.

Abdulkader Ghandoura, Marsil Zakour, William Consagra et al. · 0 citations

Jul 2026

SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasets

SIINR is flexible, modular, and can be adapted to different upsampling ratios and downstream tasks, providing a principled approach for enhancing clinical dMRI and supporting robust interpretation of derived neuroimaging metrics.

Tom Hendriks, William Consagra, Anna Vilanova et al. · arXiv.org · 0 citations

Aug 2026

ENCORE: Fast geometric framework for aligning brain structural connectivity on cortical manifolds.

Results show that ENCORE consistently improves inter-subject correspondence of fine-grained connectivity features and yields higher accuracy in structural pathway localization compared with existing surface-based registration methods.

Martin Cole, Yang Xiang, William Consagra et al. · Medical Image Analysis · 0 citations