Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2310.06873
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
Jutika Borah
H. Singh
MedIm
38
0
0
14 Mar 2025
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
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
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
Jiayuan Zhu
Junde Wu
C. Ouyang
Konstantinos Kamnitsas
Alison Noble
65
0
0
23 Nov 2024
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
Jiayuan Zhu
A. Billard
26
0
0
03 Aug 2024
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
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
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
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
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
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
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
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
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
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1