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1807.07356
Cited By
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"
50 / 244 papers shown
Title
Steerable Equivariant Representation Learning
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Test-Time Distribution Normalization for Contrastively Learned Vision-language Models
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26
1
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21 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
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Zhihao Chen
Xuedong Yuan
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Huazhu Fu
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16 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Illia Oleksiienko
Alexandros Iosifidis
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12 Feb 2023
Variational Voxel Pseudo Image Tracking
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24
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12 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications
Chengyu Dong
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39
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0
02 Feb 2023
Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows
Farzad Beizaee
Christian Desrosiers
Gregory A. Lodygensky
Jose Dolz
MedIm
19
6
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27 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
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16 Jan 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
S. Rajaraman
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Ghada Zamzmi
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Sameer Kiran Antani
26
0
0
10 Jan 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty
K. Zou
Yidi Chen
Ling Huang
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Yong-Jin Liu
Huazhu Fu
UQCV
28
4
0
01 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
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Fan Zhou
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AAML
28
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21 Dec 2022
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation
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39
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Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Zhitong Gao
Yucong Chen
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Xuming He
UQCV
27
5
0
14 Dec 2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images
Daria Frolova
A. Vasiliuk
Mikhail Belyaev
B. Shirokikh
OOD
29
1
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13 Dec 2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
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Yuheng Huang
Lei Ma
Haruki Yokoyama
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Kazuki Munakata
29
4
0
13 Dec 2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification
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UQCV
25
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Tim G. J. Rudner
Qixuan Feng
Angelos Filos
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Michael W. Dusenberry
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Dustin Tran
Y. Gal
OOD
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BDL
29
50
0
23 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Kumud Lakara
Matias Valdenegro-Toro
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30
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31
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M. Jorge Cardoso
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Richard Brown
Nic Ma
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Sebastien Ourselin
Andrew Feng
60
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Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation
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Dino Sejdinovic
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25
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Private and Reliable Neural Network Inference
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Marc Fischer
Samuel Steffen
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22
14
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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
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Florian Buettner
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213
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Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection
Zhenyu Yang
Kyle J. Lafata
E. Vaios
Zongsheng Hu
Trey C Mullikin
F. Yin
Cong Wang
43
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12 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
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Florence Forbes
A. Tucholka
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Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
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Partial annotations for the segmentation of large structures with low annotation cost
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30
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25 Sep 2022
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation
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Fuli Feng
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52
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22 Sep 2022
Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification
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Xin Li
Siwei Lyu
78
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19 Sep 2022
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
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Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
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Philippe C. Cattin
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19 Aug 2022
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
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Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images
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Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation
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OOD
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Automatic Segmentation of the Placenta in BOLD MRI Time Series
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36
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BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
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Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
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BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification
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