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2020 – today
- 2021
[j2]Hans Pinckaers
, Wouter Bulten, Jeroen van der Laak, Geert Litjens:
Detection of Prostate Cancer in Whole-Slide Images Through End-to-End Training With Image-Level Labels. IEEE Trans. Medical Imaging 40(7): 1817-1826 (2021)- 2020
- [i7]Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga, Américo Brilhante, Asli Çakir, Xavier Farré, Katerina Geronatsiou, Vincent Molinié, Guilherme Pereira, Paromita Roy, Günter Saile, Paulo Salles, Ewout Schaafsma, Joëlle Tschui, Anne-Marie Vos, Hester van Boven, Robert Vink, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists. CoRR abs/2002.04500 (2020) - [i6]Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens:
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels. CoRR abs/2006.03394 (2020)
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) - [c3]Hans Pinckaers, Wouter Bulten, Geert Litjens:
High resolution whole prostate biopsy classification using streaming stochastic gradient descent. Medical Imaging: Digital Pathology 2019: 109560A - [i5]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) - [i4]Koen Dercksen, Wouter Bulten, Geert Litjens:
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification. CoRR abs/1905.06820 (2019) - [i3]Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Automated Gleason Grading of Prostate Biopsies using Deep Learning. CoRR abs/1907.07980 (2019) - 2018
- [c2]Wouter Bulten, Christina A. Hulsbergen van de Kaa, Jeroen van der Laak, Geert J. S. Litjens:
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning. Medical Imaging: Digital Pathology 2018: 105810S - [i2]Wouter Bulten, Geert Litjens:
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders. CoRR abs/1804.07098 (2018) - [i1]Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina A. Hulsbergen van de Kaa, Geert Litjens:
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. CoRR abs/1808.05883 (2018) - 2016
- [c1]Wouter Bulten, Anne C. van Rossum, Willem F. G. Haselager:
Human SLAM, Indoor Localisation of Devices and Users. IoTDI 2016: 211-222
Coauthor Index
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