Daniel E. Worrall
Daniel E. Worrall
University of Amsterdam
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
Harmonic networks: Deep translation and rotation equivariance
DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3342017
Bayesian image quality transfer with CNNs: exploring uncertainty in dMRI super-resolution
R Tanno, DE Worrall, A Ghosh, E Kaden, SN Sotiropoulos, A Criminisi, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
902017
Cubenet: Equivariance to 3d rotation and translation
D Worrall, G Brostow
Proceedings of the European Conference on Computer Vision (ECCV), 567-584, 2018
742018
Interpretable transformations with encoder-decoder networks
DE Worrall, SJ Garbin, D Turmukhambetov, GJ Brostow
Proceedings of the IEEE International Conference on Computer Vision, 5726-5735, 2017
632017
Automated retinopathy of prematurity case detection with convolutional neural networks
DE Worrall, CM Wilson, GJ Brostow
Deep learning and data labeling for medical applications, 68-76, 2016
452016
Deep scale-spaces: Equivariance over scale
DE Worrall, M Welling
arXiv preprint arXiv:1905.11697, 2019
412019
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
272019
Learning likelihoods with conditional normalizing flows
C Winkler, D Worrall, E Hoogeboom, M Welling
arXiv preprint arXiv:1912.00042, 2019
202019
Uncertainty quantification in deep learning for safer neuroimage enhancement
R Tanno, D Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
arXiv preprint arXiv:1907.13418, 2019
162019
SE (3)-transformers: 3D roto-translation equivariant attention networks
FB Fuchs, DE Worrall, V Fischer, M Welling
arXiv preprint arXiv:2006.10503, 2020
142020
Reversible gans for memory-efficient image-to-image translation
TFA van der Ouderaa, DE Worrall
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
122019
Learning to convolve: A generalized weight-tying approach
N Diaconu, D Worrall
International Conference on Machine Learning, 1586-1595, 2019
82019
MDP homomorphic networks: Group symmetries in reinforcement learning
E van der Pol, D Worrall, H van Hoof, F Oliehoek, M Welling
Advances in Neural Information Processing Systems 33, 2020
72020
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
R Tanno, DE Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
NeuroImage 225, 117366, 2021
62021
Witnessing atrocities: quantifying villages destruction in Darfur with crowdsourcing and transfer learning
J Cornebise, D Worrall, M Farfour, M Marin
Proc. AI for Social Good NeurIPS2018 Workshop, NeurIPS’18, 2018
42018
Virtual adversarial ladder networks for semi-supervised learning
S Shinoda, DE Worrall, GJ Brostow
arXiv preprint arXiv:1711.07476, 2017
32017
Affine self convolution
N Diaconu, DE Worrall
arXiv preprint arXiv:1911.07704, 2019
22019
Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANs
TFA van der Ouderaa, DE Worrall, B van Ginneken
arXiv preprint arXiv:1908.00295, 2019
12019
Automated Optic Disk (OD) Localization in The Neonatal Fundus Image
DE Worrall, G Brostow, C Wilson
Investigative Ophthalmology & Visual Science 57 (12), 5939-5939, 2016
12016
Equivariance For Deep Learning And Retinal Imaging
DE Worrall
UCL (University College London), 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20