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Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction
Photoacoustic tomography (PAT) is a rapidly-evolving medical imaging modality that combines optical absorption contrast with ultrasound imaging depth.
Provable Probabilistic Imaging using Score-Based Generative Priors
We also establish a theoretical analysis for characterizing the convergence of the PMC algorithms.
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
We propose a surrogate function for efficient use of score-based priors for Bayesian inverse imaging.
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
In this work, we empirically validate the theoretically-proven probability function of a score-based diffusion model.
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video
We propose an approach that estimates heterogeneous material properties of an object from a monocular video of its surface vibrations.
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