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Found 5 papers, 1 papers with code
Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging
Mass Spectrometry Imaging (MSI), using traditional rectilinear scanning, takes hours to days for high spatial resolution acquisitions.
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks
Deep learning is a popular and powerful tool in computed tomography (CT) image processing such as organ segmentation, but its requirement of large training datasets remains a challenge.
Deep Back Projection for Sparse-View CT Reconstruction
Filtered back projection (FBP) is a classical method for image reconstruction from sinogram CT data.
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)
In each step of SLADS, the objective is to find the pixel that maximizes the expected reduction in distortion (ERD) given previous measurements.
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT
In this paper, we present a novel Gaussian mixture Markov random field model (GM-MRF) that can be used as a very expressive prior model for inverse problems such as denoising and reconstruction.
