@FfKnighty @AndrewM_Webb @PeterZhizhin Why not use universal function approximators? 😉 They either learn „random mode mixing“ or an approximation of inverse transform sampling, depending on the architecture. https://t.co/6oGJ0VM1hI
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Open Access UCL Research: Approximate k-space models and deep learning for fast photoacoustic reconstruction https://t.co/ufF8QIu5T1
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"Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image", Chen Qin, Wenjia Bai, Jo Schlemper, … https://t.co/EYCOGJGlHJ
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Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. (arXiv:1908.07623v1 [eess.IV]) https://t.co/jnSy5l5pLP