Adversarial Robustness of MR Image Reconstruction under Realistic
Perturbations

Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations

5 August 2022

Jan Nikolas Morshuis

Matthias Hein

Christian F. Baumgartner

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Papers citing "Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations"

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Title
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
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 74 0 0 19 Feb 2024
Evaluating Adversarial Robustness of Low dose CT Recovery Kanchana Vaishnavi Gandikota Paramanand Chandramouli Hannah Dröge Michael Moeller OOD AAML 60 3 0 18 Feb 2024
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction Paul Fischer Thomas Kustner Christian F. Baumgartner 94 8 0 04 Aug 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai Hechang Chen AAML MedIm 129 19 0 24 Mar 2023
To be or not to be stable, that is the question: understanding neural networks for inverse problems David Evangelista J. Nagy E. Morotti E. L. Piccolomini 76 5 0 24 Nov 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 75 9 0 02 Mar 2022
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 87 35 0 05 Jan 2020