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

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
ArXivPDFHTML

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

50 / 86 papers shown
Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
T. Kaiser
Thomas Norrenbrock
Bodo Rosenhahn
48
0
0
08 May 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
Tal Zeevi
Lawrence H. Staib
J. Onofrey
OOD
UQCV
53
0
0
20 Jan 2025
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
Rini Smita Thakur
Vinod K. Kurmi
UQCV
31
1
0
03 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
91
1
0
25 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Arthur Pignet
Chiara Regniez
John Klein
72
1
0
30 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Xingzhou Lou
Dong Yan
Wei Shen
Yuzi Yan
Jian Xie
Junge Zhang
45
22
0
01 Oct 2024
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Ozan Unal
Christos Sakaridis
Luc Van Gool
3DPC
3DV
34
0
0
12 Sep 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of
  Vector Field Data
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
Atul Kumar
S. Garg
Soumya Dutta
53
0
0
23 Jul 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
E. Nehme
Rotem Mulayoff
T. Michaeli
UQCV
48
2
0
24 May 2024
Inter- and intra-uncertainty based feature aggregation model for
  semi-supervised histopathology image segmentation
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin
Hui Cui
Changming Sun
Yang Song
Jiangbin Zheng
Leilei Cao
Leyi Wei
Ran Su
43
17
0
19 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications
  to Cardiac MRI Segmentation
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Yidong Zhao
João Tourais
Iain Pierce
Christian Nitsche
T. Treibel
Sebastian Weingartner
Artur M. Schweidtmann
Qian Tao
BDL
UQCV
43
5
0
04 Mar 2024
Understanding Test-Time Augmentation
Understanding Test-Time Augmentation
Masanari Kimura
ViT
16
29
0
10 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced
  reliability for automated motor claims handling
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Jan Küchler
Daniel Kröll
S. Schoenen
Andreas Witte
UQCV
40
1
0
17 Jan 2024
PlaNet-S: Automatic Semantic Segmentation of Placenta
PlaNet-S: Automatic Semantic Segmentation of Placenta
Shinnosuke Yamamoto
Isso Saito
Eichi Takaya
Ayaka Harigai
Tomomi Sato
Tomoya Kobayashi
Kei Takase
Takuya Ueda
21
0
0
18 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair
E. Nehme
T. Michaeli
UQCV
35
2
0
12 Dec 2023
Test-Time Augmentation for 3D Point Cloud Classification and
  Segmentation
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation
Tuan-Anh Vu
Srinjay Sarkar
Zhiyuan Zhang
Binh-Son Hua
Sai-Kit Yeung
3DPC
37
1
0
22 Nov 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ
  Segmentation
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Elhabian
UQCV
18
5
0
15 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across
  Cities
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
18
1
0
11 Aug 2023
Multi-layer Aggregation as a key to feature-based OOD detection
Multi-layer Aggregation as a key to feature-based OOD detection
Benjamin Lambert
Florence Forbes
Senan Doyle
M. Dojat
30
5
0
28 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
19
3
0
16 Jul 2023
Edge-aware Multi-task Network for Integrating Quantification
  Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality
  Non-contrast MRI
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI
Xiaojiao Xiao
Qinmin Hu
Guanghui Wang
MedIm
29
10
0
04 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects
Robust Uncertainty Estimation for Classification of Maritime Objects
J. Becktor
Frederik E. T. Schöller
Evangelos Boukas
Lazaros Nalpantidis
UQCV
OOD
42
2
0
03 Jul 2023
Topology-Aware Uncertainty for Image Segmentation
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
28
27
0
09 Jun 2023
Approaching Test Time Augmentation in the Context of Uncertainty
  Calibration for Deep Neural Networks
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Pedro Conde
T. Barros
Rui L. Lopes
C. Premebida
U. J. Nunes
UQCV
24
7
0
11 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for
  Classifying Common Mental Illnesses on Social Media Posts
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
Pratinav Seth
Mihir Agarwal
AI4MH
21
1
0
10 Apr 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OOD
LLMSV
31
5
0
22 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
46
86
0
16 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Illia Oleksiienko
Alexandros Iosifidis
3DPC
33
1
0
12 Feb 2023
Variational Voxel Pseudo Image Tracking
Variational Voxel Pseudo Image Tracking
Illia Oleksiienko
Paraskevi Nousi
Nikolaos Passalis
Anastasios Tefas
Alexandros Iosifidis
24
1
0
12 Feb 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
0
16 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control
  Method For Robust Cardiac Image Segmentation
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation
F. Uslu
Anil A. Bharath
39
14
0
21 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedIm
SSL
30
12
0
27 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical
  Generative Models
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Kumud Lakara
Matias Valdenegro-Toro
UQCV
OOD
30
1
0
11 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC
  Diabetic Retinopathy Detection
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection
Pratinav Seth
Adil Mehmood Khan
Ananya Gupta
Saurabh Mishra
Akshat Bhandhari
24
0
0
06 Nov 2022
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
46
481
0
04 Nov 2022
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation
Diego Martinez-Taboada
Dino Sejdinovic
CML
OffRL
23
0
0
02 Nov 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
14
14
0
27 Oct 2022
Partial annotations for the segmentation of large structures with low
  annotation cost
Partial annotations for the segmentation of large structures with low annotation cost
Bella Specktor-Fadida
Daphna Link-Sourani
Liat Ben Sira Elka Miller
D. Ben Bashat
Leo Joskowicz
14
2
0
25 Sep 2022
Automatic Segmentation of the Placenta in BOLD MRI Time Series
Automatic Segmentation of the Placenta in BOLD MRI Time Series
S. M. Abulnaga
Sean I. Young
Katherine I. Hobgood
Eileen Pan
Clinton Jia Wang
P. E. Grant
Esra Abaci Turk
Polina Golland
26
6
0
04 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI
  segmentation
Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang
Shuo Wang
Cheng Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
21
4
0
04 Aug 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen
  Neural Networks
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Uddeshya Upadhyay
Shyamgopal Karthik
Yanbei Chen
Massimiliano Mancini
Zeynep Akata
UQCV
BDL
35
22
0
14 Jul 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya-Qin Zhang
Siheng Chen
36
9
0
11 Jul 2022
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
Zihan Li
Dihan Li
Cangbai Xu
Wei-Chien Wang
Qingqi Hong
Qingde Li
Jie Tian
ViT
MedIm
22
46
0
07 Jul 2022
Slice-by-slice deep learning aided oropharyngeal cancer segmentation
  with adaptive thresholding for spatial uncertainty on FDG PET and CT images
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images
A. De Biase
N. Sijtsema
L. V. van Dijk
J. Langendijk
P. V. van Ooijen
40
19
0
04 Jul 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of
  Uncertainty and Limited Field-of-View
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
V. Zimmer
A. Gómez
E. Skelton
Robert Wright
G. Wheeler
...
Jacqueline Matthew
Bernhard Kainz
Daniel Rueckert
Joseph V. Hajnal
J. Schnabel
25
22
0
29 Jun 2022
Influence of uncertainty estimation techniques on false-positive
  reduction in liver lesion detection
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat
J. Pluim
M. Viergever
Hugo J. Kuijf
MedIm
21
4
0
22 Jun 2022
A Verification Framework for Certifying Learning-Based Safety-Critical
  Aviation Systems
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems
Ali Baheri
Hao Ren
B. Johnson
Pouria Razzaghi
Peng Wei
18
5
0
09 May 2022
Generalisation effects of predictive uncertainty estimation in deep
  learning for digital pathology
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
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