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Jasper Linmans
Jasper Linmans
PhD Student, RadboudUMC
Verified email at radboudumc.nl
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Cited by
Year
Rotation equivariant CNNs for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
6762018
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
1972016
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
552020
Predictive uncertainty estimation for out-of-distribution detection in digital pathology
J Linmans, S Elfwing, J van der Laak, G Litjens
Medical Image Analysis 83, 102655, 2023
522023
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
452016
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
362021
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
272018
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
212018
Diffusion models for out-of-distribution detection in digital pathology
J Linmans, G Raya, J van der Laak, G Litjens
Medical Image Analysis 93, 103088, 2024
172024
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
142021
Rotation Equivariant CNNs for Digital Pathology BT-Medical Image Computing and Computer Assisted Intervention–MICCAI 2018
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
Springer Cham: Granada, Spain, 2018
132018
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
72018
Deep learning detects premalignant lesions in the Fallopian tube
JMA Bogaerts, JM Bokhorst, M Simons, MHD van Bommel, MP Steenbeek, ...
npj Women's Health 2 (1), 11, 2024
32024
The Latent Doctor Model for Modeling Inter-Observer Variability
J Linmans, E Hoogeboom, J van der Laak, G Litjens
IEEE Journal of Biomedical and Health Informatics, 2024
32024
Uncertainty estimation in digital pathology. Towards applying artificial intelligence in an uncertain clinical world
JHJ Linmans
2025
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
2021
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