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John-Melle Bokhorst
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2020 – today
- 2024
- [c3]Carlijn M. Lems, Daan J. Geijs, John-Melle Bokhorst, Maxime Sülter, Leander van Eekelen, Francesco Ciompi:
Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning. ISBI 2024: 1-4 - 2022
- [j3]Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori:
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022) - 2021
- [j2]Thomas de Bel, John-Melle Bokhorst, Jeroen van der Laak, Geert Litjens:
Residual cyclegan for robust domain transformation of histopathological tissue slides. Medical Image Anal. 70: 102004 (2021) - [i2]John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi:
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. CoRR abs/2109.07892 (2021)
2010 – 2019
- 2019
- [j1]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Medical Image Anal. 58 (2019) - [c2]John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi:
Learning from sparsely annotated data for semantic segmentation in histopathology images. MIDL 2019: 84-91 - [i1]David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak:
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. CoRR abs/1902.06543 (2019) - 2018
- [c1]John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi:
Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning. COMPAY/OMIA@MICCAI 2018: 130-138
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last updated on 2024-09-09 01:11 CEST by the dblp team
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