| 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 | 665 | 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 | 564 | 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 | 445 | 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 | 172 | 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 | 148 | 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 | 89 | 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 | 69 | 2016 |
| 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 | 43 | 2021 |
| Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders W Bulten, G Litjens Medical Imaging with Deep Learning 2018 (MIDL), 2018 | 32 | 2018 |
| 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 | 24 | 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 | 6 | 2019 |
| 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 | 2 | 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 | 1 | 2022 |
| Artificial intelligence as a digital fellow in pathology: human-machine synergy for improved prostate cancer diagnosis W Bulten | 1 | 2022 |
| AI-Assisted Mitosis Counting in Breast Cancer, a Large-Scale Validation Study L Tessier, C Gonzalez-Gonzalo, D Tellez, W Bulten, M Balkenhol, ... LABORATORY INVESTIGATION 104 (3), S1624-S1625, 2024 | | 2024 |
| 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 | | 2022 |
| 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 | | 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 |
Geert LitjensRadboud University Medical CenterEmail confirmado em radboudumc.nl
