John-Melle Bokhorst

According to our database, John-Melle Bokhorst authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides.

Carlijn M. Lems, Leslie Tessier, John-Melle Bokhorst, Mart van Rijthoven, Witali Aswolinskiy, Matteo Pozzi, Natalie Klubickova, Suzanne Dintzis, Michela Campora, Maschenka Balkenhol, Peter Bult, Joey Spronck, Thomas Detone, Mattia Barbareschi, Enrico Munari, Giuseppe Bogina, Jelle Wesseling, Esther H. Lips, Francesco Ciompi, Frédérique Meeuwsen, Jeroen van der Laak

CoRR, October, 2025

2024

Hidden in plain sight. Automatic detection of tumor budding in digital pathology images of colorectal cancer.

John-Melle Bokhorst

PhD thesis, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.

Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori

npj Digit. Medicine, 2022

2021

Residual cyclegan for robust domain transformation of histopathological tissue slides.

Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak, Geert Litjens

Medical Image Anal., 2021

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

2019

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.

David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak

Medical Image Anal., 2019

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

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

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018