Deep MRI reconstruction is commonly performed with conditional models that de-alias
undersampled acquisitions to recover images consistent with fully-sampled data. Since …

Multi-modal medical images provide complementary soft-tissue characteristics that aid in the
screening and diagnosis of diseases. However, limited scanning time, image corruption and …

Contemporary deep learning methods for image reconstruction have shown promising
results over classical methods. However, they are not robust to image alterations due to …

Parallel imaging, a fast MRI technique, involves dynamic adjustments based on the
configuration ie number, positioning, and sensitivity of the coils with respect to the anatomy …

Undersampling is a common method in Magnetic Resonance Imaging (MRI) to subsample
the number of data points in k-space, reducing acquisition times at the cost of decreased …

Practical applications of compressed sensing often restrict the choice of its two main
ingredients. They may (i) prescribe the use of particular redundant dictionaries for certain …