Wouter Bulten
Wouter Bulten
Chief Operating & Product Officer @ Aiosyn
Geverifieerd e-mailadres voor radboudumc.nl - Homepage
Geciteerd door
Geciteerd door
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
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
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 28 (1), 154-163, 2022
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), 864, 2019
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
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
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
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
W Bulten, G Litjens
Medical Imaging with Deep Learning 2018 (MIDL), 2018
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
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, 219-225, 2018
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
Re: Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer: The PANDA Challenge
W Bulten, K Karatasalo, PC Chen, P Dasgupta
EUROPEAN UROLOGY 82 (5), 571-571, 2022
Artificial intelligence as a digital fellow in pathology: human-machine synergy for improved prostate cancer diagnosis
W Bulten
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
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, ...
Medical Imaging with Deep Learning, 2022
Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsies
K Kartasalo, W Bulten, PHC Chen, P Ström, H Pinckaers, K Nagpal, ...
European Urology 81, S913, 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
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