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Found 2 papers, 1 papers with code
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
To address the situation given the limited available data, we propose a domain adaptation scheme that employs a pre-trained network using a large number of x-ray computed tomography (CT) or synthesized radial MR datasets, which is then fine-tuned with only a few radial MR datasets.
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Recently, compressed sensing (CS) computed tomography (CT) using sparse projection views has been extensively investigated to reduce the potential risk of radiation to patient.
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