Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

19 July 2018

Guotai Wang

Wenqi Li

Michael Aertsen

Jan Deprest

Sebastien Ourselin

Tom Kamiel Magda Vercauteren

Papers citing "Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks"

38 / 87 papers shown

Title
Uncertainty categories in medical image segmentation: a study of source-related diversity Luke Whitbread M. Jenkinson UD UQCV 26 3 0 01 Mar 2022
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 25 24 0 17 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 15 267 0 06 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 32 80 0 04 Dec 2021
Partial supervision for the FeTA challenge 2021 Lucas Fidon Michael Aertsen Suprosanna Shit P. Demaerel Sébastien Ourselin Jan Deprest Tom Kamiel Magda Vercauteren 31 6 0 03 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 24 58 0 03 Nov 2021
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 25 21 0 24 Oct 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Yinghuan Shi Jian Zhang T. Ling Jiwen Lu Yefeng Zheng Qian Yu Lei Qi Yang Gao UQCV 17 143 0 17 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 49 21 0 07 Oct 2021
Bayesian deep learning of affordances from RGB images Lorenzo Mur-Labadia Ruben Martinez-Cantin UQCV BDL 16 0 0 27 Sep 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 24 12 0 22 Sep 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization Franz Thaler Christian Payer M. Urschler Darko Štern 31 10 0 20 Sep 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso H. Pemberton UQCV 27 5 0 06 Sep 2021
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation U. Demir Atahan Ozer Y. Sahin Gözde B. Ünal 22 3 0 06 Aug 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 35 1,109 0 07 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation Uddeshya Upadhyay Yanbei Chen Tobias Hepp S. Gatidis Zeynep Akata MedIm 23 25 0 29 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 570 0 27 May 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 24 10 0 05 May 2021
U-LanD: Uncertainty-Driven Video Landmark Detection Mohammad Jafari C. Luong Michael Y. Tsang A. Gu N. V. Woudenberg R. Rohling T. Tsang Purang Abolmaesumi 37 12 0 02 Feb 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 27 68 0 07 Jan 2021
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation Han Liu C. Cui Dario J. Englot Benoit M. Dawant 11 2 0 03 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge Lucas Fidon Sebastien Ourselin Tom Kamiel Magda Vercauteren OOD MedIm 18 41 0 03 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 18 90 0 22 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox C. Gros A. Lemay Olivier Vincent Lucas Rouhier Anthime Bucquet Joseph Paul Cohen Julien Cohen-Adad LM&MA MedIm 19 15 0 20 Oct 2020
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices Guotai Wang Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren Shaoting Zhang 28 34 0 02 Jul 2020
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance Dominik Rivoir S. Bodenstedt Isabel Funke F. Bechtolsheim Marius Distler Jürgen Weitz Stefanie Speidel 22 24 0 01 Jul 2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation Jingyang Zhang Guotai Wang Hongzhi Xie Shuyang Zhang Ning Huang Shaoting Zhang Lixu Gu 35 41 0 27 May 2020
$F$ , $B$ , Alpha Matting Marco Forte François Pitié 19 84 0 17 Mar 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 138 427 0 09 Mar 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 17 84 0 21 Feb 2020
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 21 29 0 28 Sep 2019
Swapped Face Detection using Deep Learning and Subjective Assessment Xinyi Ding Zohreh Raziei Eric C. Larson E. Olinick P. Krueger Michael Hahsler PICV CVBM 26 65 0 10 Sep 2019
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation Xuhua Ren Lichi Zhang Sahar Ahmad Dong Nie Fan Yang L. Xiang Qian Wang D. Shen 19 26 0 21 May 2019
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Nesreen Ahmed Theodore L. Willke M. Schaar 14 32 0 30 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 14 151 0 18 Oct 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015