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stat.ME2026
Bayesian Estimation of Continuous Brain Connectivity with Log-Gaussian Cox Processes
Jaehoan Kim, William Consagra, Debdeep Pati +1
Continuous structural connectivity describes the connection between any two points of the cortical surface by an intensity function. Based on the endpoints of tractography streamli…
eess.IV2026
Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution
Abdulkader Ghandoura, Marsil Zakour, William Consagra +1
Resolving complex fiber geometries in brain white matter requires high-resolution diffusion MRI at the cost of long acquisition times. This leads many clinical protocols to opt for…
cs.CV2026
SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasets
Tom Hendriks, William Consagra, Anna Vilanova +2
Diffusion Magnetic Resonance Imaging (dMRI) is a powerful tool for probing brain microstructure, but clinical acquisitions are often limited by low out-of-plane resolution, resulti…