| 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 | 255 | 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 | 186* | 2020 |
| Putting an end to end-to-end: Gradient-isolated learning of representations S Löwe, P O'Connor, B Veeling Advances in neural information processing systems 32, 2019 | 75 | 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 | 49 | 2019 |
| 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 | 38 | 2020 |
| 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 | 34 | 2015 |
| Towards radiologist-level cancer risk assessment in CT lung screening using deep learning S Trajanovski, D Mavroeidis, CL Swisher, BG Gebre, BS Veeling, ... Computerized Medical Imaging and Graphics 90, 101883, 2021 | 32 | 2021 |
| 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 | 25 | 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 | 23 | 2020 |
| Deep probabilistic subsampling for task-adaptive compressed sensing IAM Huijben, BS Veeling, RJG van Sloun International Conference on Learning Representations, 2019 | 22 | 2019 |
| 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 | 17 | 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 | 15 | 2018 |
| Improved semantic segmentation for histopathology using rotation equivariant convolutional networks J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling | 11 | 2018 |
| Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks B Veeling Bachelor thesis, Universiteit Twente, 2014 | 8 | 2014 |
| Active deep probabilistic subsampling H Van Gorp, I Huijben, BS Veeling, N Pezzotti, RJG Van Sloun International Conference on Machine Learning, 10509-10518, 2021 | 5 | 2021 |
| Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities L Gonzalez-Carabarin, IAM Huijben, B Veeling, A Schmid, RJG van Sloun IEEE Transactions on Neural Networks and Learning Systems, 2022 | 3 | 2022 |
| Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke A Hilbert, B Veeling, H Marquering | 3 | 2018 |
| Greedy infomax for self-supervised representation learning S Löwe, P O’Connor, BS Veeling Master Thesis, MSc Artificial Intelligence, University of Amsterdam. Source, 2019 | 2 | 2019 |
| The patchcamelyon (pcam) deep learning classification benchmark B Veeling | 2 | 2019 |
| Predictive uncertainty through quantization BS Veeling, R Berg, M Welling arXiv preprint arXiv:1810.05500, 2018 | 2 | 2018 |
Max WellingProfessor Machine Learning, University of AmsterdamDirección de correo verificada de uva.nl
