Follow
Mart van Rijthoven
Mart van Rijthoven
PhD Candidate, Deep learning & Computational Pathology, Radboud University Medical Center
Verified email at radboudumc.nl
Title
Cited by
Cited by
Year
Learning to detect lymphocytes in immunohistochemistry with deep learning
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Medical image analysis 58, 101547, 2019
1282019
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
M Van Rijthoven, M Balkenhol, K Siliņa, J Van Der Laak, F Ciompi
Medical image analysis 68, 101890, 2021
113*2021
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
N Marini, S Marchesin, S Otálora, M Wodzinski, A Caputo, ...
NPJ digital medicine 5 (1), 102, 2022
272022
You only look on lymphocytes once
M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ...
222018
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Open Review, 2018
132018
Multi_Scale_Tools: a python library to exploit multi-scale whole slide images
N Marini, S Otálora, D Podareanu, M van Rijthoven, J van der Laak, ...
Frontiers in Computer Science 3, 684521, 2021
122021
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images
M van Rijthoven, M Balkenhol, M Atzori, P Bult, J van der Laak, F Ciompi
Medical Imaging 2021: Digital Pathology 11603, 137-143, 2021
32021
nnUNet meets pathology: bridging the gap for application to whole-slide images and computational biomarkers
J Spronck, T Gelton, L van Eekelen, J Bogaerts, L Tessier, ...
Medical Imaging with Deep Learning, 2023
12023
Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors
M van Rijthoven, S Obahor, F Pagliarulo, M van den Broek, P Schraml, ...
Communications Medicine 4 (1), 5, 2024
2024
On the robustness of regressing tumor percentage as an explainable detector in histopathology whole-slide images
M D'Amato, M Balkenhol, M van Rijthoven, J van der Laak, F Ciompi
Medical Imaging with Deep Learning, short paper track, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–10