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Wouter Bulten
Wouter Bulten
PhD Candidate, Deep learning & Computational Pathology, Radboud University Medical Center
Geverifieerd e-mailadres voor radboudumc.nl - Homepage
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ...
The Lancet Oncology 21 (2), 233-241, 2020
248*2020
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
1812019
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
W Bulten, P Bándi, J Hoven, R Loo, J Lotz, N Weiss, J Laak, B Ginneken, ...
Scientific reports 9 (1), 1-10, 2019
932019
Human SLAM, indoor localisation of devices and users
W Bulten, AC Van Rossum, WFG Haselager
2016 IEEE First International Conference on Internet-of-Things Design and …, 2016
402016
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
W Bulten, M Balkenhol, JJA Belinga, A Brilhante, A Çakır, L Egevad, ...
Modern Pathology 34 (3), 660-671, 2021
382021
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
W Bulten, G Litjens
Medical Imaging with Deep Learning 2018 (MIDL), 2018
232018
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning
W Bulten, CA Hulsbergen-van de Kaa, J van der Laak, GJS Litjens
Medical Imaging 2018: Digital Pathology 10581, 105810S, 2018
172018
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels
H Pinckaers, W Bulten, J van der Laak, G Litjens
IEEE Transactions on Medical Imaging 40 (7), 1817-1826, 2021
142021
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine, 1-10, 2022
122022
The PANDA challenge: Prostate cANcer graDe Assessment using the Gleason grading system
W Bulten, S Pinckaers, K Eklund
MICCAI challenge, 2020
92020
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification
K Dercksen, W Bulten, G Litjens
Medical Imaging with Deep Learning 2019 (MIDL), 2019
32019
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies—Current Status and Next Steps
K Kartasalo, W Bulten, B Delahunt, PHC Chen, H Pinckaers, H Olsson, ...
European Urology Focus 7 (4), 687-691, 2021
22021
High resolution whole prostate biopsy classification using streaming stochastic gradient descent
H Pinckaers, W Bulten, G Litjens
Medical Imaging 2019: Digital Pathology 10956, 35-40, 2019
12019
Gleason grading of prostate cancer using artificial intelligence: lessons learned from the PANDA challenge
K Kartasalo, P Ström, M Eklund, W Bulten, H Pinckaers, G Litjens, ...
2022
Artificial intelligence as a digital fellow in pathology: human-machine synergy for improved prostate cancer diagnosis
W Bulten
[Sl]:[Sn], 2022
2022
Sharing Blood: A decentralised trust and sharing ecosystem based on the Vampire Bat
W Bulten, WFG Haselager, IG Sprinkhuizen-Kuyper
BNAIC 2012 The 24th Benelux Conference on Artificial Intelligence, 35, 2012
2012
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Artikelen 1–16