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J-M Bokhorst
J-M Bokhorst
PhD student, Radboud university medical center
Verified email at radboudumc.nl
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Cited by
Cited by
Year
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
D Tellez, G Litjens, P Bándi, W Bulten, JM Bokhorst, F Ciompi, ...
Medical image analysis 58, 101544, 2019
4372019
Residual cyclegan for robust domain transformation of histopathological tissue slides
T de Bel, JM Bokhorst, J van der Laak, G Litjens
Medical Image Analysis 70, 102004, 2021
692021
Learning from sparsely annotated data for semantic segmentation in histopathology images
JM Bokhorst, H Pinckaers, P van Zwam, I Nagtegaal, J van der Laak, ...
482018
Improving tumor budding reporting in colorectal cancer: a Delphi consensus study
TS Haddad, A Lugli, S Aherne, V Barresi, B Terris, JM Bokhorst, ...
Virchows Archiv, 1-11, 2021
352021
Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning
JM Bokhorst, A Blank, A Lugli, I Zlobec, H Dawson, M Vieth, ...
Modern pathology 33 (5), 825-833, 2020
342020
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
Taking tumour budding to the next frontier—a post International Tumour Budding Consensus Conference (ITBCC) 2016 review
L Studer, A Blank, JM Bokhorst, ID Nagtegaal, I Zlobec, A Lugli, A Fischer, ...
Histopathology 78 (4), 476-484, 2021
242021
Are tumour grade and tumour budding equivalent in colorectal cancer? A retrospective analysis of 771 patients
I Zlobec, HE Dawson, A Blank, JM Bokhorst, MD Berger, ID Nagtegaal, ...
European journal of cancer 130, 139-145, 2020
162020
Automatic detection of tumor budding in colorectal carcinoma with deep learning
JM Bokhorst, L Rijstenberg, D Goudkade, I Nagtegaal, J van der Laak, ...
Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018
142018
Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer
C Mercan, M Balkenhol, R Salgado, M Sherman, P Vielh, W Vreuls, ...
NPJ breast cancer 8 (1), 120, 2022
112022
Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images
JM Bokhorst, ID Nagtegaal, F Fraggetta, S Vatrano, W Mesker, M Vieth, ...
Scientific Reports 13 (1), 8398, 2023
82023
Semi-supervised learning to automate tumor bud detection in cytokeratin-stained whole-slide images of colorectal cancer
JM Bokhorst, ID Nagtegaal, I Zlobec, H Dawson, K Sheahan, F Simmer, ...
Cancers 15 (7), 2079, 2023
72023
Shrinkage versus fragmentation response in neoadjuvantly treated oesophageal adenocarcinoma: significant prognostic relevance
C Graham Martinez, S Kus Öztürk, A Al‐Kaabi, MJ Valkema, JM Bokhorst, ...
Histopathology 80 (6), 982-994, 2022
72022
Mathematical models for tumor growth and the reduction of overtreatment
L van Hulsteijn, B Heesterman, J Jansen, C Boedeker, J Weissman, ...
Journal of Neurological Surgery Part B: Skull Base 80 (01), 072-078, 2019
72019
Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment
MA Smit, F Ciompi, JM Bokhorst, GW van Pelt, OGF Geessink, H Putter, ...
Journal of Pathology Informatics 14, 100191, 2023
42023
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images
JM Bokhorst, ID Nagtegaal, F Fraggetta, S Vatrano, W Mesker, M Vieth, ...
arXiv preprint arXiv:2109.07892, 2021
42021
Validation of computer-assisted tumour-bud and T-cell detection in pT1 colorectal cancer
L Studer, J Bokhorst, I Zlobec, A Lugli, A Fischer, F Ciompi, J van der Laak, ...
VIRCHOWS ARCHIV 477, S37-S38, 2020
32020
Fully Automated Tumor Bud Assessment in Hematoxylin and Eosin Stained Whole Slide Images of Colorectal Cancer
JM Bokhorst, F Ciompi, SK Öztürk, ASO Erdogan, M Vieth, H Dawson, ...
Modern pathology, 100233, 2023
22023
Shrinkage versus fragmentation response in neoadjuvantly treated oesophageal adenocarcinoma: significant prognostic relevance
CG Martinez, SK Öztürk, A Al‐Kaabi, MJ Valkema, JM Bokhorst, ...
Histopathology 80 (6), 982-994, 2022
12022
Budding-T-cell score is a potential predictor for more aggressive treatment in pT1 colorectal cancers
L Studer, JM Bokhorst, F Ciompi, A Fischer, H Dawson
Proceedings of the ECDP 2022 18th European Congress on Digital Pathology, 15 …, 2022
12022
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