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Learning to Predict Error for MRI Reconstruction
v1v2v3 (latest)

Learning to Predict Error for MRI Reconstruction

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
13 February 2020
Shi Hu
Nicola Pezzotti
Max Welling
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Learning to Predict Error for MRI Reconstruction"

7 / 7 papers shown
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A SurveyACM Conference on Health, Inference, and Learning (CHIL), 2025
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
1.2K
12
0
04 May 2025
When does a predictor know its own loss?
When does a predictor know its own loss?Symposium on Foundations of Responsible Computing (FRC), 2025
Aravind Gollakota
Parikshit Gopalan
Aayush Karan
Charlotte Peale
Udi Wieder
UQCVFaML
488
3
0
27 Feb 2025
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for
  Undersampled MRI Reconstruction with Uncertainty Estimation
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled
Moti Freiman
UQCV
244
6
0
06 Apr 2024
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
216
8
0
19 Jul 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in
  Multi-output Regression Task
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression TaskEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Sunwoong Yang
K. Yee
UQCV
427
22
0
28 Mar 2023
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic UncertaintyEuropean Conference on Computer Vision (ECCV), 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
258
19
0
20 Jul 2022
Disentangling Uncertainty in Machine Translation Evaluation
Disentangling Uncertainty in Machine Translation EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Chrysoula Zerva
T. Glushkova
Ricardo Rei
André F.T. Martins
UDUQCV
405
9
0
13 Apr 2022
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