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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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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
2562019
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
322021
Learning from sparsely annotated data for semantic segmentation in histopathology images
JM Bokhorst, H Pinckaers, P van Zwam, I Nagtegaal, J van der Laak, ...
International Conference on Medical Imaging with Deep Learning--Full Paper Track, 2018
322018
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
222020
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 479 (3), 459-469, 2021
142021
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
142021
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
132020
Automatic detection of tumor budding in colorectal carcinoma with deep learning
JM Bokhorst, L Rijstenberg, D Goudkade, I Nagtegaal, J Laak, F Ciompi
Computational pathology and ophthalmic medical image analysis, 130-138, 2018
82018
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
52019
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), 1-18, 2022
42022
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
22022
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
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), 1-11, 2022
2022
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, ...
2022
Redefining patterns of tumour response to chemoradiotherapy in oesophageal cancer with the aid of ai
CG Martinez, A Al-Kaabi, T Strausz, J Bokhorst, C Rosman, P Siersema, ...
VIRCHOWS ARCHIV 477, S185-S185, 2020
2020
Computer-assisted hot-spot selection for tumour budding assessment in colorectal cancer
J Bokhorst, F Ciompi, I Zlobec, A Lugli, M Vieth, R Kirsch, J van der Laak, ...
VIRCHOWS ARCHIV 477, S14-S14, 2020
2020
Characterisation of the tumour-host interface as a prognostic factor through deep learning systems
T Haddad, J Bokhorst, L van den Dobbelsteen, F Zimmer, F Ciompi, ...
VIRCHOWS ARCHIV 477, S38-S38, 2020
2020
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
2020
Deep learning-based tumour bud detection in pan-cytokeratin stained colorectal cancer whole-slide images
J Bokhorst, I Nagtegaal, I Zlobec, A Lugli, M Vieth, R Kirsch, ...
VIRCHOWS ARCHIV 477, S36-S36, 2020
2020
A colorectal carcinoma in 3D: merging knife-edge scanning microscopy and deep learning
T Haddad, N Farahani, J Bokhorst, F Doubrava-Simmer, M Goodman, ...
VIRCHOWS ARCHIV 475, S123-S123, 2019
2019
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