Learning to Predict Error for MRI Reconstruction

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Learning to Predict Error for MRI Reconstruction

13 February 2020

Nicola Pezzotti

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Papers citing "Learning to Predict Error for MRI Reconstruction"

7 / 7 papers shown

Title
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? Aravind Gollakota Parikshit Gopalan Aayush Karan Charlotte Peale Udi Wieder UQCV FaML 173 1 0 27 Feb 2025
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 Mochu Xiang Jing Zhang Nick Barnes Yuchao Dai UQCV 77 4 0 19 Jul 2023
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 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 Chrysoula Zerva T. Glushkova Ricardo Rei André F.T. Martins UD UQCV 103 9 0 13 Apr 2022