Mart van Rijthoven

According to our database, Mart van Rijthoven authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers.

Joey Spronck, Thijs Gelton, Leander van Eekelen, Joep Bogaerts, Leslie Tessier, Mart van Rijthoven, Lieke van der Woude, Michel van den Heuvel, Willemijn Theelen, Jeroen van der Laak, Francesco Ciompi

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

HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images.

Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi

Medical Image Anal., 2021

Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.

Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori

Frontiers Comput. Sci., 2021

Few-shot weakly supervised detection and retrieval in histopathology whole-slide images.

Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2019

Learning to detect lymphocytes in immunohistochemistry with deep learning.

Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, António Polónia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen van der Laak, Francesco Ciompi

Medical Image Anal., 2019