Hans Pinckaers
Hans Pinckaers
PhD candidate, Radboud University Medical Center, Computational Pathology Group
Verified email at radboudumc.nl - Homepage
Title
Cited by
Cited by
Year
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
402020
Urinating standing versus sitting: position is of influence in men with prostate enlargement. A systematic review and meta-analysis
Y de Jong, JHFM Pinckaers, RM ten Brinck, AABL Nijeholt, OM Dekkers
PloS one 9 (7), e101320, 2014
252014
Learning to detect lymphocytes in immunohistochemistry with deep learning
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
Medical image analysis 58, 101547, 2019
122019
Deep learning assisted mitotic counting for breast cancer
MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ...
Laboratory Investigation 99 (11), 1596-1606, 2019
92019
Automated gleason grading of prostate biopsies using deep learning
W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ...
arXiv preprint arXiv:1907.07980, 2019
92019
Mobile e‐diary application facilitates the monitoring of patient‐reported outcomes and a high treatment adherence for clinical trials in dermatology
M Rijsbergen, T Niemeyer‐van der Kolk, R Rijneveld, J Pinckaers, ...
Journal of the European Academy of Dermatology and Venereology 34 (3), 633-639, 2020
62020
Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images
Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ...
52018
Training convolutional neural networks with megapixel images
H Pinckaers, G Litjens
arXiv preprint arXiv:1804.05712, 2018
42018
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
H Pinckaers, B van Ginneken, G Litjens
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
32019
Learning from sparsely annotated data for semantic segmentation in histopathology images
JM Bokhorst, H Pinckaers, P van Zwam, I Nagtegaal, J van der Laak, ...
International Conference on Medical Imaging with Deep Learning--Full Paper Track, 2018
32018
Influence of voiding posture on urodynamic parameters in men: a literature review
Y De Jong, J Pinckaers, RM Ten Brinck, AAB Lycklama Nijeholt
TvU 4, 36-42, 2014
32014
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
H Pinckaers, G Litjens
arXiv preprint arXiv:1910.10470, 2019
22019
High resolution whole prostate biopsy classification using streaming stochastic gradient descent
H Pinckaers, W Bulten, G Litjens
Medical Imaging 2019: Digital Pathology 10956, 109560A, 2019
12019
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
arXiv preprint arXiv:2006.03394, 2020
2020
Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images
L van Eekelen, H Pinckaers, KM Hebeda, G Litjens
Medical Imaging 2020: Digital Pathology 11320, 113200B, 2020
2020
Improving treatment compliance with a novel mobile diary app in early phase clinical trials
JF Pinckaers, T van der Kolk, GK Hogendoorn, R Rijneveld, ...
CLINICAL PHARMACOLOGY & THERAPEUTICS 101 (S 1), S23-S23, 2017
2017
Pharmacology E-learning with the Mobile teaching resource center
R Rissmann, J Messayeh, J Pinckaers, AC Cohen, JL Hay
Clinical Therapeutics 37 (8), e6, 2015
2015
Pharmacology E-learning 2.0 - Web vs. App
R Rissmann, JHFM Pinckaers, AJM de Man, AC Cohen, EA Dubois
British Journal of Clinical Pharmacology 78 (4), 772, 2014
2014
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Articles 1–18