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Daan Geijs
Daan Geijs
PhD candidate | Radboudumc | Working on deep learning for skin cancer assessment
Verified email at radboudumc.nl - Homepage
Title
Cited by
Cited by
Year
Comparison of different methods for tissue segmentation in histopathological whole-slide images
P BŠndi, R van de Loo, M Intezar, D Geijs, F Ciompi, B van Ginneken, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017†…, 2017
382017
Spermometer: electrical characterization of single boar sperm motility
B de Wagenaar, DJ Geijs, H de Boer, JG Bomer, W Olthuis, ...
Fertility and sterility 106 (3), 773-780. e6, 2016
202016
Automatic color unmixing of IHC stained whole slide images
DJ Geijs, M Intezar, JAWM van der Laak, GJS Litjens
Medical Imaging 2018: Digital Pathology 10581, 165-171, 2018
92018
Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
MCA Balkenhol, F Ciompi, Ż Świderska-Chadaj, R van de Loo, M Intezar, ...
The Breast 56, 78-87, 2021
52021
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
M Hermsen, V Volk, JH Bršsen, DJ Geijs, W Gwinner, J Kers, J Linmans, ...
Laboratory Investigation 101 (8), 970-982, 2021
42021
End-to-end classification on basal-cell carcinoma histopathology whole-slides images
DJ Geijs, H Pinckaers, AL Amir, GJS Litjens
Medical Imaging 2021: Digital Pathology 11603, 25-30, 2021
22021
Low dimensional state representation learning with reward-shaped priors
N Botteghi, R Obbink, D Geijs, M Poel, B Sirmacek, C Brune, A Mersha, ...
2020 25th International Conference on Pattern Recognition (ICPR), 3736-3743, 2021
22021
In silico validation of a cartilage specific circadian clock: mutation of BMAL1 increased MMP expression
S Khurana, A Bokkers, DJ Geijs, S Schivo, M Karperien, JN Post
Osteoarthritis and cartilage 27, S193-S194, 2019
12019
Basal cell carcinoma detection using weakly supervised deep learning methods and rule-based labels
D Geijs, S Dooper, W Aswolinskiy, L van Eekelen, A Amir, G Litjens
2022
Optimised tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics
M Balkenhol, F Ciompi, Z Swiderska-Chadaj, R de Loo, M Intezar, ...
VIRCHOWS ARCHIV 477, S36-S37, 2020
2020
Een systematische aanpak voor het ontwikkelen en rangschikken van leerlijnen
DJ Geijs
University of Twente, 2019
2019
Tumor segmentation in fluorescent TNBC immunohistochemical multiplex images using deep learning
DJ Geijs
University of Twente, 2019
2019
Geautomatiseerde beeldanalyse van morfologische kenmerken en de motiliteit van een individuele spermatozoon.
DJ Geijs
University of Twente, 2015
2015
Detection Of People Stream Features Using Eigenvalue Maps
W van de Ridder, C Ruffoni, D Geijs, G Pingen
University of Twente Students Journal of Biometrics and Computer Vision, 2014
2014
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Articles 1–14