John-Melle Bokhorst

According to our database, John-Melle Bokhorst authored at least 6 papers between 2018 and 2022.

Collaborative distances:

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

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