Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning. - John-Melle Bokhorst; Lucia Rijstenberg; Danny Goudkade; Iris Nagtegaal; Jeroen van der Laak; Francesco Ciompi (COMPAY/OMIA@MICCAI, 2018)

Learning from sparsely annotated data for semantic segmentation in histopathology images. - John-Melle Bokhorst; Hans Pinckaers; Peter van Zwam; Iris Nagtegaal; Jeroen van der Laak; Francesco Ciompi (MIDL, 2019)

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. - David Tellez; Geert Litjens 001; Péter Bándi; Wouter Bulten; John-Melle Bokhorst; Francesco Ciompi; Jeroen van der Laak (Medical Image Anal., 2019)

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. - John-Melle Bokhorst; Iris D. Nagtegaal; Filippo Fraggetta; Simona Vatrano; Wilma Mesker; Michael Vieth; Jeroen van der Laak; Francesco Ciompi (CoRR, 2021)

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)

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. - Niccolò Marini; Stefano Marchesin 001; Sebastian Otálora; Marek Wodzinski; Alessandro Caputo; Mart van Rijthoven; Witali Aswolinskiy; John-Melle Bokhorst; Damian Podareanu; Edyta Petters; Svetla Boytcheva; Genziana Buttafuoco; et al. (npj Digit. Medicine, 2022)

Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. - Linda Studer; John-Melle Bokhorst; Iris D. Nagtegaal; Inti Zlobec; Heather Dawson; Andreas Fischer 002 (MIDL, 2023)

Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning. - Carlijn M. Lems; Daan J. Geijs; John-Melle Bokhorst; Maxime Sülter; Leander van Eekelen; Francesco Ciompi (ISBI, 2024)