A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation

6 September 2021

Richard Shaw

Carole H. Sudre

Sebastien Ourselin

Papers citing "A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation"

25 / 25 papers shown

Title
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chen Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 42 28 0 23 Jun 2020
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data A. Sadri A. Janowczyk Ren-jian Zou R. Verma Niha G. Beig J. Antunes A. Madabhushi Pallavi Tiwari S. Viswanath 20 50 0 10 Apr 2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso UQCV 56 13 0 31 Jan 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 95 1,298 0 05 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 268 2,384 0 11 Nov 2019
Dual Neural Network Architecture for Determining Epistemic and Aleatoric Uncertainties Augustin Prado Ravinath Kausik Lalitha Venkataramanan 45 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 49 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 64 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 51 12 0 25 Jul 2019
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations Shi Hu Daniel E. Worrall Stefan Knegt Bastiaan S. Veeling Henkjan Huisman Max Welling UQCV 34 95 0 03 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 602 4,766 0 13 May 2019
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 52 119 0 24 Nov 2018
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 134 591 0 19 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 107 114 0 02 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 52 50 0 18 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 73 573 0 13 Jun 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 262 9,737 0 25 Oct 2017
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 76 549 0 11 Sep 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 246 3,114 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 326 4,699 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 617 5,795 0 05 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 306 19,610 0 21 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 602 9,286 0 06 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 300 19,580 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.3K 149,820 0 22 Dec 2014