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Confidence Calibration and Predictive Uncertainty Estimation for Deep
  Medical Image Segmentation

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

29 November 2019
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
    OOD
    FedML
    UQCV
ArXivPDFHTML

Papers citing "Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation"

50 / 68 papers shown
Title
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
26
0
0
16 Apr 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Wei Yao
Wenkai Yang
Z. Wang
Yankai Lin
Yong Liu
ELM
103
1
0
03 Feb 2025
Pretraining with random noise for uncertainty calibration
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
41
0
0
23 Dec 2024
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with
  Shared Representations and Independent Branching
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching
Arnav Kharbanda
Advait Chandorkar
UQCV
67
0
0
02 Dec 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
89
1
0
25 Nov 2024
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma:
  A Systematic Review
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
Mahtab Faraji
Homa Rashidisabet
George R. Nahass
R. Chan
Thasarat S Vajaranant
Darvin Yi
32
0
0
07 Nov 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
67
3
0
24 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
22
0
0
05 Sep 2024
Predictive uncertainty estimation in deep learning for lung carcinoma
  classification in digital pathology under real dataset shifts
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
A. Fayjie
Jutika Borah
F. Carbone
Jan Tack
Patrick Vandewalle
OOD
UQCV
30
2
0
15 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving
  Out-of-Distribution Detection in Medical Image Segmentation
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Austin Castelo
Mais Al Taie
Mohamed Eltaher
...
Nakul Gupta
David Victor
Laura Beretta
Ankit B. Patel
Kristy K. Brock
OOD
29
0
0
05 Aug 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
32
5
0
28 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
42
0
0
25 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
66
1
0
06 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
37
4
0
05 Jun 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu
Kemal Oksuz
Jonathan Sadeghi
P. Dokania
33
4
0
30 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
34
5
0
28 Apr 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
50
5
0
25 Mar 2024
Average Calibration Error: A Differentiable Loss for Improved
  Reliability in Image Segmentation
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
Theodore Barfoot
Luis C. García-Peraza-Herrera
Ben Glocker
Tom Vercauteren
UQCV
43
3
0
11 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
38
5
0
04 Mar 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Florian Bley
Sebastian Lapuschkin
Wojciech Samek
G. Montavon
27
2
0
30 Jan 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
34
5
0
25 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
32
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
24
16
0
16 Jan 2024
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph
  Clustering
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye
Xiaoqing Zhang
Yan Hu
Huazhu Fu
Jiang-Dong Liu
35
4
0
20 Dec 2023
Deep Active Perception for Object Detection using Navigation Proposals
Deep Active Perception for Object Detection using Navigation Proposals
Stefanos Ginargiros
Nikolaos Passalis
Anastasios Tefas
ObjD
15
0
0
15 Dec 2023
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing
  the Segment Anything Model
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model
Yizhe Zhang
Shuo Wang
Tao Zhou
Qingquan Dou
D. Z. Chen
30
1
0
15 Dec 2023
On the Overconfidence Problem in Semantic 3D Mapping
On the Overconfidence Problem in Semantic 3D Mapping
J. M. C. Marques
Albert Zhai
Shenlong Wang
Kris K. Hauser
3DPC
16
5
0
16 Nov 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
44
22
0
22 Oct 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
33
20
0
09 Oct 2023
Understanding Calibration of Deep Neural Networks for Medical Image
  Classification
Understanding Calibration of Deep Neural Networks for Medical Image Classification
A. Sambyal
Usma Niyaz
N. C. Krishnan
Deepti R. Bathula
9
7
0
22 Sep 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over
  Time
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time
Isak Meding
Alexander Bodin
Adam Tonderski
Joakim Johnander
Christoffer Petersson
Lennart Svensson
OOD
UQCV
11
1
0
20 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and
  Ignorance
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
14
4
0
14 Sep 2023
Bayesian uncertainty-weighted loss for improved generalisability on
  polyp segmentation task
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S Stone
P. E. Chavarrias-Solano
A. Bulpitt
David C. Hogg
Sharib Ali
UQCV
41
0
0
13 Sep 2023
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis
  of Dynamic Contrast-enhanced Cardiac MRI Datasets
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets
D. M. Yalcinkaya
Khalid Youssef
Bobak Heydari
Orlando Simonetti
R. Dharmakumar
Subha V. Raman
Behzad Sharif
7
0
0
25 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
Hyekang Park
Jongyoun Noh
Youngmin Oh
Donghyeon Baek
Bumsub Ham
UQCV
34
12
0
23 Aug 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Chen Li
Xiaoling Hu
Shahira Abousamra
Chao Chen
21
20
0
19 Aug 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
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
17
3
0
16 Jul 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
H. Fu
UQCV
40
85
0
16 Feb 2023
DOMINO: Domain-aware Loss for Deep Learning Calibration
DOMINO: Domain-aware Loss for Deep Learning Calibration
Skylar E. Stolte
Kyle Volle
A. Indahlastari
Alejandro Albizu
A. Woods
Kevin Brink
Matthew Hale
R. Fang
MedIm
11
1
0
10 Feb 2023
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
36
14
0
21 Dec 2022
How Does Beam Search improve Span-Level Confidence Estimation in
  Generative Sequence Labeling?
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
Kazuma Hashimoto
Iftekhar Naim
K. Raman
UQLM
29
2
0
21 Dec 2022
Investigating Deep Learning Model Calibration for Classification
  Problems in Mechanics
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
S. Mohammadzadeh
Peerasait Prachaseree
Emma Lejeune
AI4CE
34
2
0
01 Dec 2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical
  Image Segmentation
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
Benjamin Lambert
Florence Forbes
Senan Doyle
A. Tucholka
M. Dojat
UQCV
OOD
46
4
0
10 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
28
2
0
01 Nov 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic
  Semantic Segmentation
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation
Ralf Römer
Armin Lederer
Samuel Tesfazgi
Sandra Hirche
21
2
0
14 Sep 2022
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for
  Lesion Segmentation with Out-of-Distribution Robustness
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
Adrian Galdran
G. Carneiro
M. A. G. Ballester
OOD
21
17
0
13 Sep 2022
Improved post-hoc probability calibration for out-of-domain MRI
  segmentation
Improved post-hoc probability calibration for out-of-domain MRI segmentation
C. Ouyang
Shuo Wang
C. L. P. Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
21
4
0
04 Aug 2022
Estimating Model Performance under Domain Shifts with Class-Specific
  Confidence Scores
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores
Zeju Li
Konstantinos Kamnitsas
Mobarakol Islam
Chen Chen
Ben Glocker
22
9
0
20 Jul 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
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