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Found 5 papers, 4 papers with code
CalibFPA: A Focal Plane Array Imaging System based on Online Deep-Learning Calibration
In this study, we propose a novel compressive FPA system based on online deep-learning calibration of multiplexed LR measurements (CalibFPA).
DEQ-MPI: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging
The ill-posed reconstruction problem can be solved by simultaneously enforcing data consistency based on the SM and regularizing the solution based on an image prior.
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Extensive assessments are reported on the utility of SynDiff against competing GAN and diffusion models in multi-contrast MRI and MRI-CT translation.
Ranked #7 on
Image-to-Image Translation
on IXI
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
A two-phase reconstruction is executed following training: a rapid-diffusion phase that produces an initial reconstruction with the trained prior, and an adaptation phase that further refines the result by updating the prior to minimize data-consistency loss.
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging
Magnetic particle imaging (MPI) offers exceptional contrast for magnetic nanoparticles (MNP) at high spatio-temporal resolution.
