Jasper Linmans
Jasper Linmans
PhD Student, RadboudUMC
Verified email at
Cited by
Cited by
Rotation equivariant CNNs for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
International Conference on Medical image computing and computer-assisted …, 2018
Effector profiles distinguish formae speciales of Fusarium oxysporum
P van Dam, L Fokkens, SM Schmidt, JHJ Linmans, HC Kistler, LJ Ma, ...
Environmental Microbiology 18 (11), 4087-4102, 2016
Nuclear dynamics and genetic rearrangement in heterokaryotic colonies of Fusarium oxysporum
S Shahi, B Beerens, M Bosch, J Linmans, M Rep
Fungal Genetics and Biology 91, 20-31, 2016
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
J Linmans, J van der Laak, G Litjens
MIDL 2020, 2020
Sample efficient semantic segmentation using rotation equivariant convolutional networks
J Linmans, J Winkens, BS Veeling, TS Cohen, M Welling
arXiv preprint arXiv:1807.00583, 2018
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
M Hermsen, V Volk, JH Bräsen, DJ Geijs, W Gwinner, J Kers, J Linmans, ...
Laboratory Investigation 101 (8), 970-982, 2021
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI Should Different Clinical Objectives Mandate Different Loss Functions?
A Saha, J Bosma, J Linmans, M Hosseinzadeh, H Huisman
arXiv preprint arXiv:2110.12889, 2021
Improved and robust controversy detection in general web pages using semantic approaches under large scale conditions
J Linmans, B van de Velde, E Kanoulas
Proceedings of the 27th ACM International Conference on Information and …, 2018
1009 Deep learning for improved detection of premalignant lesions in the fallopian tube, a proof of concept
J Bogaerts, M Van Bommel, J Linmans, N Van den Hork, J Bulten, ...
International Journal of Gynecologic Cancer 31 (Suppl 3), 2021
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