Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions. - Jasper Linmans; Bob van de Velde; Evangelos Kanoulas (CIKM, 2018)

Rotation Equivariant CNNs for Digital Pathology. - Bastiaan S. Veeling; Jasper Linmans; Jim Winkens; Taco Cohen; Max Welling (MICCAI (2), 2018)

Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks. - Jasper Linmans; Jim Winkens; Bastiaan S. Veeling; Taco S. Cohen; Max Welling (CoRR, 2018)

Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks. - Jasper Linmans; Jeroen van der Laak; Geert Litjens 001 (MIDL, 2020)

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI - Should Different Clinical Objectives Mandate Different Loss Functions? - Anindo Saha; Joeran Bosma; Jasper Linmans; Matin Hosseinzadeh; Henkjan J. Huisman (CoRR, 2021)

Predictive uncertainty estimation for out-of-distribution detection in digital pathology. - Jasper Linmans; Stefan Elfwing; Jeroen van der Laak; Geert Litjens 001 (Medical Image Anal., 2023)

Diffusion models for out-of-distribution detection in digital pathology. - Jasper Linmans; Gabriel Raya; Jeroen van der Laak; Geert Litjens 001 (Medical Image Anal., 2024)

The Latent Doctor Model for Modeling Inter-Observer Variability. - Jasper Linmans; Emiel Hoogeboom; Jeroen van der Laak; Geert Litjens 001 (IEEE J. Biomed. Health Informatics, 2024)