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Learning to Predict Error for MRI Reconstruction

Learning to Predict Error for MRI Reconstruction

13 February 2020
Shi Hu
Nicola Pezzotti
Max Welling
    UQCV
ArXivPDFHTML

Papers citing "Learning to Predict Error for MRI Reconstruction"

5 / 5 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
190
0
0
04 May 2025
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
31
18
0
20 Jul 2022
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
5,695
0
05 Dec 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
5,181
0
16 Sep 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
287
9,167
0
06 Jun 2015
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