Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. - Daniele Ravì; Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Stephen P. Pereira; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2018)

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. - Daniele Ravì; Agnieszka Barbara Szczotka; Stephen P. Pereira; Tom Vercauteren (Medical Image Anal., 2019)

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. - Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Daniele Ravì; Matthew J. Clarkson; Stephen P. Pereira; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2020)

Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy. - Agnieszka Barbara Szczotka; Dzhoshkun Ismail Shakir; Matthew J. Clarkson; Stephen P. Pereira; Tom Vercauteren (IEEE Trans. Medical Imaging, 2021)