Guangyu Wu

This paper develops MSCNet, a cross-modal generative model for reconstructing and restoring prostate MRI sequences, showing improved image quality and diagnostic performance in multicentre validation.

This paper evaluates SIFT and cross-correlation for detecting tumor tissue movement in respiratory motion using phantoms and finds no significant difference between the methods.