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A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy
Our CT-based DL framework was developed to improve the testing speed and accuracy of COVID-19 (plus its variants) via a DL-based approach for CT image enhancement and classification.
CT Super Resolution via Zero Shot Learning
We incorporated the CT domain knowledge into the SADIR and unrolled it into a DL network (SADIR Net).
Sinogram interpolation for sparse-view micro-CT with deep learning neural network
When the amount of sparsity (the amount of missing views in sinogram data) is not high, conventional interpolation methods have yielded good results.
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