Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels. - Juan P. Vigueras-Guillén; Angela Engel; Hans G. Lemij; Jeroen van Rooij; Koenraad A. Vermeer; Lucas J. van Vliet (ICIAR, 2018)

Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented Images. - Juan P. Vigueras-Guillén; Eleni-Rosalina Andrinopoulou; Angela Engel; Hans G. Lemij; Jeroen van Rooij; Koenraad A. Vermeer; Lucas J. van Vliet (IEEE Trans. Medical Imaging, 2018)

Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images. - Juan P. Vigueras-Guillén; Jeroen van Rooij; Hans G. Lemij; Koenraad A. Vermeer; Lucas J. van Vliet (EMBC, 2019)

Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks. - Juan Pedro Vigueras-Guillén; Hans G. Lemij; Jeroen van Rooij; Koenraad A. Vermeer; Lucas J. van Vliet (Image Processing, 2019)

DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae. - Juan P. Vigueras-Guillén; Jeroen van Rooij; Bart T. H. van Dooren; Hans G. Lemij; Esma Islamaj; Lucas J. van Vliet; Koenraad A. Vermeer (CoRR, 2022)