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Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis
  Lesion Detection and Segmentation

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation

3 August 2018
T. Nair
Doina Precup
Douglas L. Arnold
Tal Arbel
    UQCV
ArXivPDFHTML

Papers citing "Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation"

50 / 78 papers shown
Title
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
53
0
0
14 Mar 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
Gian Mario Favero
Parham Saremi
Emily Kaczmarek
Brennan Nichyporuk
Tal Arbel
DiffM
MedIm
72
0
0
06 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
56
0
0
20 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
96
1
0
25 Nov 2024
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
46
20
0
09 Oct 2023
Topology-Aware Uncertainty for Image Segmentation
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
33
27
0
09 Jun 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced
  Driver-Assistance System
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System
Jiwei Guan
Lei Pan
Chen Wang
Shui Yu
Longxiang Gao
Xi Zheng
AAML
24
3
0
30 May 2023
Self-training with dual uncertainty for semi-supervised medical image
  segmentation
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu
Haitao Gan
Mingzhi Shi
Zhongwei Huang
Zhi Yang
11
2
0
10 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OOD
UQCV
40
0
0
04 Apr 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in
  Medical Image Analysis
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
Raghav Mehta
Changjian Shui
Tal Arbel
26
12
0
06 Mar 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
54
87
0
16 Feb 2023
Benchmarking common uncertainty estimation methods with
  histopathological images under domain shift and label noise
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise
H. A. Mehrtens
Alexander Kurz
Tabea-Clara Bucher
T. Brinker
OOD
UQCV
205
11
0
03 Jan 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential
  Calibrated Uncertainty
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty
K. Zou
Yidi Chen
Ling Huang
Xuedong Yuan
Xiaojing Shen
Meng Wang
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
UQCV
28
4
0
01 Jan 2023
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
33
1
0
11 Nov 2022
Novel structural-scale uncertainty measures and error retention curves:
  application to multiple sclerosis
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
Nataliia Molchanova
Vatsal Raina
A. Malinin
Francesco La Rosa
Henning Muller
Mark Gales
Cristina Granziera
Mara Graziani
Meritxell Bach Cuadra
35
8
0
09 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
39
2
0
01 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical
  Image Segmentation
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
Brennan Nichyporuk
Jillian Cardinell
Justin Szeto
Raghav Mehta
Jean-Pierre Falet
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
24
7
0
31 Oct 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the
  Whole Picture
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
M. Jung
He Zhao
Joanna Dipnall
Belinda Gabbe
Lan Du
UQCV
EDL
67
12
0
06 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
34
81
0
05 Oct 2022
GaIA: Graphical Information Gain based Attention Network for Weakly
  Supervised Point Cloud Semantic Segmentation
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
Min Seok Lee
Seok Woo Yang
S. W. Han
3DPC
24
21
0
02 Oct 2022
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can
  trust
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust
Benjamin Lambert
Florence Forbes
Senan Doyle
A. Tucholka
M. Dojat
UQCV
MedIm
21
5
0
22 Sep 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Frequency Dropout: Feature-Level Regularization via Randomized Filtering
Mobarakol Islam
Ben Glocker
OOD
43
6
0
20 Sep 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and
  Improve Robustness of Brain Tumor Segmentation
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
EDL
OOD
UQCV
24
39
0
11 Aug 2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
T. Kadota
Hideaki Hayashi
Ryoma Bise
Kiyohito Tanaka
Seiichi Uchida
BDL
25
2
0
05 Aug 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
48
19
0
04 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
30
28
0
30 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
31
0
0
27 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
23
4
0
22 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation
Confidence Score for Source-Free Unsupervised Domain Adaptation
Jonghyun Lee
Dahuin Jung
Junho Yim
Sung-Hoon Yoon
TTA
28
71
0
14 Jun 2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated
  Learning
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Dongnan Liu
Mariano Cabezas
Dongang Wang
Zihao Tang
Lei Bai
...
Fernando Calamante
Michael Barnett
Wanli Ouyang
Weidong (Tom) Cai
Chenyu Wang
FedML
27
4
0
03 May 2022
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
Self-Normalized Density Map (SNDM) for Counting Microbiological Objects
K. Graczyk
J. Pawlowski
Sylwia Majchrowska
Tomasz Golan
28
9
0
15 Mar 2022
Uncertainty Estimation for Heatmap-based Landmark Localization
Uncertainty Estimation for Heatmap-based Landmark Localization
Lawrence Schobs
Andrew J Swift
Haiping Lu
UQCV
35
11
0
04 Mar 2022
Maximum Entropy on Erroneous Predictions (MEEP): Improving model
  calibration for medical image segmentation
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
24
15
0
22 Dec 2021
Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
22
121
0
17 Dec 2021
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
36
24
0
17 Dec 2021
Automatic quality control framework for more reliable integration of
  machine learning-based image segmentation into medical workflows
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows
Elena Williams
Sebastian Niehaus
J. Reinelt
A. Merola
P. Mihai
...
Evelyn Medawar
Daniel Lichterfeld
Ingo Roeder
N. Scherf
Maria del C. Valdés Hernández
28
3
0
06 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
29
267
0
06 Dec 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty
  Propagation in Encoder-Decoder Networks
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
Giuseppina Carannante
Dimah Dera
Nidhal C.Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
UQCV
AAML
OOD
27
6
0
10 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
29
58
0
03 Nov 2021
Robustness via Uncertainty-aware Cycle Consistency
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay
Yanbei Chen
Zeynep Akata
33
21
0
24 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image
  Enhancement
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
MedIm
49
21
0
07 Oct 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
29
12
0
22 Sep 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark
  Localization
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization
Franz Thaler
Christian Payer
M. Urschler
Darko Štern
41
10
0
20 Sep 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
66
1,112
0
07 Jul 2021
Confidence-based Out-of-Distribution Detection: A Comparative Study and
  Analysis
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
Christoph Berger
Magdalini Paschali
Ben Glocker
Konstantinos Kamnitsas
OOD
51
42
0
06 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation
Uncertainty-Guided Progressive GANs for Medical Image Translation
Uddeshya Upadhyay
Yanbei Chen
Tobias Hepp
S. Gatidis
Zeynep Akata
MedIm
23
24
0
29 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
23
574
0
27 May 2021
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
46
125
0
11 May 2021
Impact of individual rater style on deep learning uncertainty in medical
  imaging segmentation
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
Olivier Vincent
C. Gros
Julien Cohen-Adad
37
10
0
05 May 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
21
35
0
20 Apr 2021
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