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1807.07356
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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
UQCV
MedIm
OOD
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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
F
F
,
B
B
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
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