Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy Scans Using Multiple-Frame Voting. - Alexandros Rikos; Fons van der Sommen; Anne-Fré Swager; Svitlana Zinger; Erik J. Schoon; Wouter L. Curvers; Jacques J. Bergman; Peter H. N. de With (CBMS, 2017)

Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. - Sander Klomp; Fons van der Sommen; Anne-Fré Swager; Svitlana Zinger; Erik J. Schoon; Wouter L. Curvers; Jacques J. Bergman; Peter H. N. de With (Computer-Aided Diagnosis, 2017)

Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy. - Fons van der Sommen; Sander Klomp; Anne-Fré Swager; Svitlana Zinger; Wouter L. Curvers; Jacques J. Bergman; Erik J. Schoon; Peter H. N. de With (Comput. Medical Imaging Graph., 2018)

Informative Frame Classification of Endoscopic Videos Using Convolutional Neural Networks and Hidden Markov Models. - Joost van der Putten; Jeroen de Groof; Fons van der Sommen; Maarten R. Struyvenberg; Svitlana Zinger; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Peter H. N. de With (ICIP, 2019)

Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. - Joost van der Putten; Rogier R. Wildeboer; Jeroen de Groof; Ruud van Sloun; Maarten R. Struyvenberg; Fons van der Sommen; Svitlana Zinger; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Peter H. N. de With (ISBI, 2019)

A novel clinical gland feature for detection of early Barrett's neoplasia using volumetric laser endomicroscopy. - Thom Scheeve; Maarten R. Struyvenberg; Wouter L. Curvers; Albert J. de Groof; Erik J. Schoon; Jacques J. G. H. M. Bergman; Fons van der Sommen; Peter H. N. de With (Computer-Aided Diagnosis, 2019)

Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett's Esophagus. - Joost van der Putten; Jeroen de Groof; Fons van der Sommen; Maarten R. Struyvenberg; Svitlana Zinger; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Peter H. N. de With (MLMI@MICCAI, 2019)

Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. - Joost van der Putten; Fons van der Sommen; Maarten R. Struyvenberg; Jeroen de Groof; Wouter L. Curvers; Erik J. Schoon; Jacques J. G. H. M. Bergman; Peter H. N. de With (Image Processing, 2019)

First steps into endoscopic video analysis for Barrett's cancer detection: challenges and opportunities. - Joost van der Putten; Jeroen de Groof; Fons van der Sommen; Maarten R. Struyvenberg; Svitlana Zinger; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Peter H. N. de With (Computer-Aided Diagnosis, 2020)

Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. - T. G. W. Boers; Joost van der Putten; Jeroen de Groof; Maarten R. Struyvenberg; Kiki Fockens; Wouter L. Curvers; Erik J. Schoon; Fons van der Sommen; Jacques J. Bergman; Peter H. N. de With (Image Processing, 2020)

Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study. - Joost van der Putten; Jeroen de Groof; Maarten R. Struyvenberg; Tim Boers; Kiki Fockens; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Fons van der Sommen; Peter H. N. de With (Artif. Intell. Medicine, 2020)

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy. - Joost van der Putten; Maarten R. Struyvenberg; Jeroen de Groof; Thom Scheeve; Wouter L. Curvers; Erik J. Schoon; Jacques J. G. H. M. Bergman; Peter H. N. de With; Fons van der Sommen (Comput. Medical Imaging Graph., 2020)

Modeling clinical assessor intervariability using deep hypersphere encoder-decoder networks. - Joost van der Putten; Fons van der Sommen; Jeroen de Groof; Maarten R. Struyvenberg; Svitlana Zinger; Wouter L. Curvers; Erik J. Schoon; Jacques J. Bergman; Peter H. N. de With (Neural Comput. Appl., 2020)