Mining Hierarchical Pathology Data Using Inductive Logic Programming. - Tim Op De Beéck; Arjen Hommersom; Jan Van Haaren; Maarten van der Heijden; Jesse Davis; Peter J. F. Lucas; Lucy Overbeek; Iris Nagtegaal (AIME, 2015)

The importance of stain normalization in colorectal tissue classification with convolutional networks. - Francesco Ciompi; Oscar Geessink; Babak Ehteshami Bejnordi; Gabriel Silva de Souza; Alexi Baidoshvili; Geert Litjens 001; Bram van Ginneken; Iris Nagtegaal; Jeroen van der Laak (ISBI, 2017)

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)

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)

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)

Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images. - Nohemí Sofia León Contreras; Clément Grisi; Witali Aswolinskiy; Simona Vatrano; Filippo Fraggetta; Iris Nagtegaal; Marina D'Amato; Francesco Ciompi (ISBI, 2024)

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology. - Elias Baumann; Bastian Dislich; Josef Lorenz Rumberger; Iris D. Nagtegaal; María Rodríguez Martínez; Inti Zlobec (MIDL, 2024)

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning. - Niccolò Marini; Stefano Marchesin 001; Lluis Borras Ferris; Simon Püttmann; Marek Wodzinski; Riccardo Fratti; Damian Podareanu; Alessandro Caputo; Svetla Boytcheva; Simona Vatrano; Filippo Fraggetta; Iris Nagtegaal; et al. (CoRR, 2024)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)