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Uncertainty Quantification in Deep Learning for Safer Neuroimage
  Enhancement

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

31 July 2019
Ryutaro Tanno
Daniel E. Worrall
Enrico Kaden
Aurobrata Ghosh
Francesco Grussu
A. Bizzi
S. Sotiropoulos
A. Criminisi
Daniel C. Alexander
    MedIm
    DiffM
ArXivPDFHTML

Papers citing "Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement"

14 / 14 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
184
0
0
04 May 2025
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
49
87
0
16 Feb 2023
Uncertainty Quantification for Deep Unrolling-Based Computational
  Imaging
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
31
12
0
02 Jul 2022
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
H. Pemberton
UQCV
27
5
0
06 Sep 2021
Automatic segmentation with detection of local segmentation failures in
  cardiac MRI
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jörg Sander
B. D. de Vos
Ivana Išgum
25
50
0
13 Nov 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using
  Stein's Unbiased Risk Estimate
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Ruangrawee Kitichotkul
Christopher A. Metzler
Frank Ong
Gordon Wetzstein
UQCV
44
8
0
25 Oct 2020
Adversarial training with cycle consistency for unsupervised
  super-resolution in endomicroscopy
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
D. Ravì
A. Szczotka
Stephen P. Pereira
Tom Kamiel Magda Vercauteren
SupR
MedIm
33
49
0
21 Jan 2019
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
228
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
111
231
0
03 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
343
10,633
0
19 Feb 2017
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
276
5,683
0
05 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,192
0
30 Oct 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,180
0
16 Sep 2016
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