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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

9 October 2023
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
ArXivPDFHTML

Papers citing "A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods"

20 / 20 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
29
0
0
04 May 2025
Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI
Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI
N. Molchanova
P. M. Gordaliza
A. Cagol
Mario Ocampo Pineda
Po-Jui Lu
...
Delphine Ribes
A. Depeursinge
C. Granziera
Henning Muller
Meritxell Bach Cuadra
UQCV
44
0
0
07 Apr 2025
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis
Reliable Radiologic Skeletal Muscle Area Assessment -- A Biomarker for Cancer Cachexia Diagnosis
Sabeen Ahmed
Nathan Parker
Margaret Park
Daniel Jeong
Lauren Peres
...
Jennifer B. Permuth
Erin Siegel
M. Schabath
Yasin Yilmaz
Ghulam Rasool
27
0
0
19 Mar 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation
Jutika Borah
H. Singh
MedIm
38
0
0
14 Mar 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
55
0
0
27 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
61
0
0
30 Jan 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
46
0
0
20 Jan 2025
SPA: Efficient User-Preference Alignment against Uncertainty in Medical
  Image Segmentation
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
Jiayuan Zhu
Junde Wu
C. Ouyang
Konstantinos Kamnitsas
Alison Noble
65
0
0
23 Nov 2024
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
A. Hoarau
Vincent Lemaire
UQCV
UD
PER
24
0
0
12 Sep 2024
MedUHIP: Towards Human-In-the-Loop Medical Segmentation
MedUHIP: Towards Human-In-the-Loop Medical Segmentation
Jiayuan Zhu
A. Billard
26
0
0
03 Aug 2024
Expert-aware uncertainty estimation for quality control of neural-based
  blood typing
Expert-aware uncertainty estimation for quality control of neural-based blood typing
E.E. Zaychenkova
Dmitrii Iarchuk
S.A. Korchagin
Alexey Zaitsev
Egor Ershov
44
0
0
15 Jul 2024
Evidential uncertainty sampling for active learning
Evidential uncertainty sampling for active learning
A. Hoarau
V. Lemaire
Arnaud Martin
Jean-Christophe Dubois
Y. Gall
UQCV
EDL
PER
UD
18
1
0
21 Sep 2023
Deep evidential fusion with uncertainty quantification and contextual
  discounting for multimodal medical image segmentation
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
EDL
MedIm
19
1
0
12 Sep 2023
Evidence-aware multi-modal data fusion and its application to total knee
  replacement prediction
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction
Xinwen Liu
Jing Wang
S. Kevin Zhou
Craig B. Engstrom
Shekhar S. Chandra
MedIm
23
3
0
24 Mar 2023
Robust Segmentation Models using an Uncertainty Slice Sampling Based
  Annotation Workflow
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
G. Chlebus
A. Schenk
Horst K. Hahn
Bram van Ginneken
H. Meine
16
9
0
30 Sep 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to
  Multi-Class Segmentation
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
14
12
0
22 Sep 2021
Recalibration of Aleatoric and Epistemic Regression Uncertainty in
  Medical Imaging
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
M. Laves
Sontje Ihler
J. F. Fast
L. Kahrs
T. Ortmaier
OOD
UQCV
BDL
30
29
0
26 Apr 2021
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
D. Yang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
175
123
0
29 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1