Follow
J-M Bokhorst
J-M Bokhorst
PhD student, Radboud university medical center
Verified email at radboudumc.nl
Title
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
4522019
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
732021
Learning from sparsely annotated data for semantic segmentation in histopathology images
JM Bokhorst, H Pinckaers, P van Zwam, I Nagtegaal, J van der Laak, ...
492018
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
372020
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
362021
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
282022
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 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
112023
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
Mathematical models for tumor growth and the reduction of overtreatment
BL Heesterman, JM Bokhorst, LMH de Pont, BM Verbist, JP Bayley, ...
Journal of Neurological Surgery Part B: Skull Base 80 (01), 072-078, 2019
82019
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
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
52023
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 36 (9), 100233, 2023
22023
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
European Congress of Digital Pathology (ECDP), 2022
12022
Correction to: 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), 981-981, 2020
12020
The system can't perform the operation now. Try again later.
Articles 1–20