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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 / 244 papers shown
Title
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Aishwarya Venkataramanan
P. Bodesheim
Joachim Denzler
BDL
VLM
64
0
0
08 May 2025
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
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Duy Nguyen
Quan Huu Do
Khoa D. Doan
Minh N. Do
32
0
0
18 Apr 2025
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
I. Isler
David Mohaisen
C. Lisle
D. Turgut
Ulas Bagci
31
0
0
16 Apr 2025
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors
Nataliia Molchanova
Pedro M. Gordaliza
A. Cagol
Mario Ocampo Pineda
Po--Jui Lu
...
Delphine Ribes
Adrien Depeursinge
Cristina Granziera
Henning Müller
Meritxell Bach Cuadra
UQCV
60
0
0
07 Apr 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation
Sheng Lian
Dengfeng Pan
Jianlong Cai
Guang-Yong Chen
Zhun Zhong
Zhiming Luo
Shen Zhao
Shuo Li
36
0
0
04 Apr 2025
Multi-label out-of-distribution detection via evidential learning
Multi-label out-of-distribution detection via evidential learning
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
OODD
58
0
0
25 Feb 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
34
1
0
03 Jan 2025
Context-Based Echo State Networks with Prediction Confidence for
  Human-Robot Shared Control
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control
Negin Amirshirzad
Mehmet Arda Eren
Erhan Oztop
62
0
0
30 Nov 2024
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
Arctique: An artificial histopathological dataset unifying realism and
  controllability for uncertainty quantification
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
Jannik Franzen
Claudia Winklmayr
Vanessa Emanuela Guarino
Christoph Karg
Xiaoyan Yu
Nora Koreuber
Jan P. Albrecht
Philip Bischoff
Dagmar Kainmueller
43
0
0
11 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
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
29
1
0
26 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
50
22
0
01 Oct 2024
Test-Time Augmentation Meets Variational Bayes
Test-Time Augmentation Meets Variational Bayes
Masanari Kimura
Howard Bondell
OOD
BDL
TDI
21
0
0
19 Sep 2024
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Bayesian Self-Training for Semi-Supervised 3D Segmentation
Ozan Unal
Daniel Gehrig
Luc Van Gool
3DPC
3DV
37
0
0
12 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical
  Image Segmentation
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
P. Mody
Nicolas F. Chaves-de-Plaza
Chinmay Rao
Eleftheria Astrenidou
M. de Ridder
N. Hoekstra
Klaus Hildebrandt
Marius Staring
UQCV
27
0
0
05 Sep 2024
Uncertainty-aware segmentation for rainfall prediction post processing
Uncertainty-aware segmentation for rainfall prediction post processing
Simone Monaco
Luca Monaco
Daniele Apiletti
UQCV
22
0
0
28 Aug 2024
Uncertainty-Informed Volume Visualization using Implicit Neural
  Representation
Uncertainty-Informed Volume Visualization using Implicit Neural Representation
Shanu Saklani
Chitwan Goel
Shrey Bansal
Zhe Wang
Soumya Dutta
Tushar M. Athawale
D. Pugmire
Christopher R. Johnson
50
0
0
12 Aug 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
Harmonizing Flows: Leveraging normalizing flows for unsupervised and
  source-free MRI harmonization
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
Farzad Beizaee
Gregory A. Lodygensky
Chris L Adamson
Deanne K. Thompson
Jeanie L. Y. Cheong
Peter J. Anderso
Christian Desrosiers
Jose Dolz
41
1
0
22 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing
  Catastrophic Forgetting in Online Continual Learning
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
45
2
0
10 Jul 2024
An Uncertainty-guided Tiered Self-training Framework for Active
  Source-free Domain Adaptation in Prostate Segmentation
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
Zihao Luo
Xiangde Luo
Zijun Gao
Guotai Wang
OOD
37
1
0
03 Jul 2024
Domain Adaptation of Echocardiography Segmentation Via Reinforcement
  Learning
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning
Arnaud Judge
Thierry Judge
Nicolas Duchateau
Roman A. Sandler
Joseph Z. Sokol
Olivier Bernard
Pierre-Marc Jodoin
OOD
37
0
0
25 Jun 2024
Test-Time Generative Augmentation for Medical Image Segmentation
Test-Time Generative Augmentation for Medical Image Segmentation
Xiao Ma
Yuhui Tao
Yuhan Zhang
Zexuan Ji
Yizhe Zhang
Qiang Chen
MedIm
50
0
0
25 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image
  Segmentation: Unveiling the Role of Confidence Aggregation
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
M. Zenk
David Zimmerer
Fabian Isensee
Jeremias Traub
T. Norajitra
Paul F. Jäger
Klaus H. Maier-Hein
51
4
0
05 Jun 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
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep
  Image Synthesis
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
Soumya Dutta
Faheem Nizar
Ahmad Amaan
Ayan Acharya
AAML
48
1
0
22 May 2024
Just rotate it! Uncertainty estimation in closed-source models via
  multiple queries
Just rotate it! Uncertainty estimation in closed-source models via multiple queries
Konstantinos Pitas
Julyan Arbel
UQCV
27
0
0
22 May 2024
Test-Time Augmentation for Traveling Salesperson Problem
Test-Time Augmentation for Traveling Salesperson Problem
Ryo Ishiyama
Takahiro Shirakawa
Seiichi Uchida
Shinnosuke Matsuo
46
0
0
08 May 2024
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
Pengwei Xie
Rui Chen
Siang Chen
Yuzhe Qin
Fanbo Xiang
Tianyu Sun
Jing Xu
Guijin Wang
Haoran Su
51
10
0
26 Apr 2024
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion
  Difference
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference
Zhihao Shuai
Yinan Chen
Shunqiang Mao
Yihan Zho
Xiaohong Zhang
MedIm
36
2
0
25 Apr 2024
TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and
  Proprioception Estimation
TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation
Junli Ren
Yikai Liu
Yingru Dai
Junfeng Long
Guijin Wang
34
3
0
23 Apr 2024
Cell Tracking according to Biological Needs -- Strong Mitosis-aware
  Random-finite Sets Tracker with Aleatoric Uncertainty
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Random-finite Sets Tracker with Aleatoric Uncertainty
Timo Kaiser
Maximilian Schier
Bodo Rosenhahn
34
1
0
22 Mar 2024
How scanning probe microscopy can be supported by Artificial
  Intelligence and quantum computing
How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing
A. Pręgowska
Agata Roszkiewicz
Magdalena Osial
M. Giersig
33
4
0
20 Mar 2024
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation
  Challenge
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
Hongwei Bran
Fernando Navarro
Ivan Ezhov
Amirhossein Bayat
Dhritiman Das
...
E. Konukoglu
Andras Jakab
Spyridon Bakas
Leo Joskowicz
Bjoern H. Menze
UQCV
37
8
0
19 Mar 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
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Fei-Yue Wang
Qi Liu
Enhong Chen
Chuanren Liu
Zhenya Huang
Jinze Wu
Shijin Wang
21
4
0
09 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
21
29
0
10 Feb 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based
  Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
42
5
0
25 Jan 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Marianne Rakic
Hallee E. Wong
Jose Javier Gonzalez Ortiz
Beth Cimini
John Guttag
Adrian V. Dalca
36
11
0
24 Jan 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
ValUES: A Framework for Systematic Validation of Uncertainty Estimation
  in Semantic Segmentation
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl
Carsten T. Lüth
M. Zenk
Klaus Maier-Hein
Paul F. Jaeger
UQCV
30
16
0
16 Jan 2024
Automatic characterization of boulders on planetary surfaces from
  high-resolution satellite images
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images
N. C. Prieur
Brian Amaro
Emiliano Gonzalez
Hannah Kerner
Sergei Medvedev
L. Rubanenko
Stephanie C. Werner
Zhiyong Xiao
D. Zastrozhnov
M. Lapôtre
14
5
0
15 Jan 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
32
2
0
31 Dec 2023
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
23
0
0
18 Dec 2023
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on
  Predicting Pathological Lymph Nodes in Rectal Cancer
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer
Kazuma Kobayashi
Yasuyuki Takamizawa
M. Miyake
Sono Ito
Lin Gu
Tatsuya Nakatsuka
Yu Akagi
Tatsuya Harada
Y. Kanemitsu
Ryuji Hamamoto
35
2
0
15 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections
Uncertainty Visualization via Low-Dimensional Posterior Projections
Omer Yair
E. Nehme
T. Michaeli
UQCV
38
2
0
12 Dec 2023
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