| 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 | 114 | 2018 |
| How good is the bayes posterior in deep neural networks really? F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ... arXiv preprint arXiv:2002.02405, 2020 | 45* | 2020 |
| Putting an end to end-to-end: Gradient-isolated learning of representations S Löwe, P O'Connor, BS Veeling arXiv preprint arXiv:1905.11786, 2019 | 35 | 2019 |
| Supervised uncertainty quantification for segmentation with multiple annotations S Hu, D Worrall, S Knegt, B Veeling, H Huisman, M Welling International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 26 | 2019 |
| Probabilistic multileave for online retrieval evaluation A Schuth, RJ Bruintjes, F Buüttner, J van Doorn, C Groenland, ... Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 24 | 2015 |
| Towards radiologist-level cancer risk assessment in CT lung screening using deep learning S Trajanovski, D Mavroeidis, CL Swisher, BG Gebre, BS Veeling, ... arXiv preprint arXiv:1804.01901, 2018 | 16 | 2018 |
| Learning sub-sampling and signal recovery with applications in ultrasound imaging IAM Huijben, BS Veeling, K Janse, M Mischi, RJG van Sloun IEEE Transactions on Medical Imaging 39 (12), 3955-3966, 2020 | 12 | 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 | 10 | 2018 |
| Improved semantic segmentation for histopathology using rotation equivariant convolutional networks J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling | 9 | 2018 |
| Hydra: Preserving ensemble diversity for model distillation L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ... arXiv preprint arXiv:2001.04694, 2020 | 8 | 2020 |
| The k-tied normal distribution: A compact parameterization of gaussian mean field posteriors in bayesian neural networks J Swiatkowski, K Roth, B Veeling, L Tran, J Dillon, J Snoek, S Mandt, ... International Conference on Machine Learning, 9289-9299, 2020 | 4 | 2020 |
| Learning sampling and model-based signal recovery for compressed sensing MRI IAM Huijben, BS Veeling, RJG van Sloun ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 4 | 2020 |
| Deep probabilistic subsampling for task-adaptive compressed sensing IAM Huijben, BS Veeling, RJG van Sloun International Conference on Learning Representations, 2019 | 3 | 2019 |
| Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks B Veeling Bachelor thesis, Universiteit Twente, 2014 | 3 | 2014 |
| The PatchCamelyon (PCam) Deep Learning Classification Benchmark B Veeling | 3 | |
| Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke A Hilbert, B Veeling, H Marquering | 2 | 2018 |
| Fritjof Buü ner, Joost van Doorn, Carla Groenland, Harrie Oosterhuis, Cong-Nguyen Tran, Bas Veeling, Jos van der Velde, Roger Wechsler, David Woudenberg, and Maarten de Rijke … A Schuth, RJ Bruintjes SIGIR, 0 | 2 | |
| Predictive Uncertainty through Quantization BS Veeling, R Berg, M Welling arXiv preprint arXiv:1810.05500, 2018 | 1 | 2018 |
| On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks J Świątkowski, K Roth, BS Veeling, L Tran, JV Dillon, J Snoek, S Mandt, ... | | 2019 |
| Putting An End to End-to-End: Gradient-Isolated Learning of Representations BS Veeling | | 2019 |
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
