Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. - Arnaud Arindra Adiyoso Setio; Alberto Traverso; Thomas de Bel; Moira S. N. Berens; Cas van den Bogaard; Piergiorgio Cerello; Hao Chen 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (CoRR, 2016)

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. - Arnaud Arindra Adiyoso Setio; Alberto Traverso; Thomas de Bel; Moira S. N. Berens; Cas van den Bogaard; Piergiorgio Cerello; Hao Chen 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (Medical Image Anal., 2017)

Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection. - Thomas de Bel; Meyke Hermsen; Geert Litjens 001; Jeroen van der Laak (COMPAY/OMIA@MICCAI, 2018)

Automatic segmentation of histopathological slides of renal tissue using deep learning. - Thomas de Bel; Meyke Hermsen; Bart Smeets; Luuk Hilbrands; Jeroen van der Laak; Geert Litjens 001 (Digital Pathology, 2018)

Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. - Thomas de Bel; Meyke Hermsen; Jesper Kers; Jeroen van der Laak; Geert Litjens 001 (MIDL, 2019)

Automated Gleason Grading of Prostate Biopsies using Deep Learning. - Wouter Bulten; Hans Pinckaers; Hester van Boven; Robert Vink; Thomas de Bel; Bram van Ginneken; Jeroen van der Laak; Christina A. Hulsbergen van de Kaa; Geert Litjens 001 (CoRR, 2019)

Residual cyclegan for robust domain transformation of histopathological tissue slides. - Thomas de Bel; John-Melle Bokhorst; Jeroen van der Laak; Geert Litjens 001 (Medical Image Anal., 2021)