ResearchTrend.AI
Learning to Predict Error for MRI Reconstruction
v1v2v3 (latest)

Learning to Predict Error for MRI Reconstruction

Shi Hu
Nicola Pezzotti
Max Welling
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Learning to Predict Error for MRI Reconstruction"

7 / 7 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
544
0
0
04 May 2025
When does a predictor know its own loss?
When does a predictor know its own loss?
Aravind Gollakota
Parikshit Gopalan
Aayush Karan
Charlotte Peale
Udi Wieder
UQCVFaML
171
1
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
64
3
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
75
4
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 Task
Sunwoong Yang
K. Yee
UQCV
90
6
0
28 Mar 2023
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
69
18
0
20 Jul 2022
Disentangling Uncertainty in Machine Translation Evaluation
Disentangling Uncertainty in Machine Translation Evaluation
Chrysoula Zerva
T. Glushkova
Ricardo Rei
André F.T. Martins
UDUQCV
103
9
0
13 Apr 2022