| 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 | 74 | 2019 |
| Implicit causal models for genome-wide association studies D Tran, DM Blei arXiv preprint arXiv:1710.10742, 2017 | 28 | 2017 |
| 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 | 11 | 2020 |
| 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 | 9 | 2018 |
| 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, 130-138, 2018 | 4 | 2018 |
| 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 | 3 | 2021 |
| 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 (1), 72, 2019 | 3 | 2019 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 | | 2021 |
| 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 | | 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 |
| Are tumour budding and tumour grade the same in colorectal cancer? I Zlobec, H Dawson, A Blank, J Bokhorst, I Nagtegaal, A Lugli VIRCHOWS ARCHIV 475, S6-S6, 2019 | | 2019 |
| Assessment of tumour buds in colorectal cancer. A large-scale international digital observer study J Bokhorst, H Dawson, A Blank, A Lugli, I Zlobec, L Rijstenberg, M Vieth, ... VIRCHOWS ARCHIV 475, S196-S196, 2019 | | 2019 |
| Tumour budding in 3D: a novel approach to visualisation and characterisation T Haddad, N Farahani, D Treanor, M Hale, F Doubrava-Simmer, ... VIRCHOWS ARCHIV 475, S201-S201, 2019 | | 2019 |
