Bastiaan S. Veeling
Title
Cited by
Cited by
Year
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
662018
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
232015
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, 3039-3051, 2019
182019
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
162018
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
152019
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
142020
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
72018
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
62018
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, 2020
52020
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
52018
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
42020
Deep probabilistic subsampling for task-adaptive compressed sensing
IAM Huijben, BS Veeling, RJG van Sloun
International Conference on Learning Representations, 2019
32019
Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks
B Veeling
Bachelor thesis, Universiteit Twente, 2014
32014
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
22020
Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke
A Hilbert, B Veeling, H Marquering
22018
The PatchCamelyon (PCam) Deep Learning Classification Benchmark
B Veeling
2
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
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
J Swiatkowski, K Roth, BS Veeling, L Tran, JV Dillon, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02655, 2020
2020
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
Predictive Uncertainty through Quantization
BS Veeling, R Berg, M Welling
arXiv preprint arXiv:1810.05500, 2018
2018
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