A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image
Quality

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

31 January 2020

Carole H. Sudre

Sebastien Ourselin

M. Jorge Cardoso

Papers citing "A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality"

12 / 12 papers shown

Title
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 173 2,375 0 11 Nov 2019
Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties Augustin Prado Ravinath Kausik Lalitha Venkataramanan 30 4 0 10 Oct 2019
Let's agree to disagree: learning highly debatable multirater labelling Carole H. Sudre B. G. Anson S. Ingala C. Lane Daniel Jimenez ... Ryutaro Tanno Lorna Smith Sébastien Ourselin H. Jäger M. Jorge Cardoso 19 26 0 04 Sep 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 46 33 0 31 Jul 2019
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging Zach Eaton-Rosen Thomas Varsavsky Sebastien Ourselin M. Jorge Cardoso UQCV 33 12 0 25 Jul 2019
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren UQCV MedIm OOD 121 588 0 19 Jul 2018
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning Felix J. S. Bragman Ryutaro Tanno Zach Eaton-Rosen Wenqi Li D. Hawkes Sebastien Ourselin Daniel C. Alexander J. McClelland M. Jorge Cardoso UQCV 37 49 0 18 Jun 2018
NiftyNet: a deep-learning platform for medical imaging Eli Gibson Wenqi Li Carole Sudre Lucas Fidon D. I. Shakir ... Marc Modat D. Barratt Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren 53 549 0 11 Sep 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 171 3,093 0 19 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 234 4,667 0 15 Mar 2017
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 102 19,448 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 458 149,474 0 22 Dec 2014

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