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Mart van Rijthoven
Mart van Rijthoven
PhD Candidate, Deep learning & Computational Pathology, Radboud University Medical Center
Geverifieerd e-mailadres voor radboudumc.nl
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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
892019
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
652021
You only look on lymphocytes once
M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ...
152018
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Medical Imaging with Deep Learning, 2018
122018
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
92022
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
92021
Silin, a, K.; van der Laak, J.; Ciompi, F. HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
M Van Rijthoven, M Balkenhol
Med. Image Anal 68, 101890, 2021
82021
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
22021
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Artikelen 1–8