| 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 | 584 | 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 | 180 | 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 | 46 | 2020 |
| 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 | 42 | 2016 |
| 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 | 41 | 2023 |
| 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 | 32 | 2021 |
| 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 | 26 | 2018 |
| Improved semantic segmentation for histopathology using rotation equivariant convolutional networks J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling | 18 | 2018 |
| 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 | 13 | 2018 |
| 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 | 12 | 2021 |
| 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 | 8 | 2024 |
| 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 | 7 | 2018 |
| 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 | 2 | 2024 |
| 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 | 1 | 2024 |
| 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 |
Bastiaan S. VeelingMicrosoft Research Amsterdam在 uva.nl 的电子邮件经过验证
