Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction

14 April 2023

Papers citing "Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction"

17 / 17 papers shown

Title
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks Christoph Angermann Markus Haltmeier Ahsan Raza Siyal 59 3 0 09 Jul 2022
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 67 21 0 24 Oct 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 339 1,922 0 12 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 54 105 0 09 Nov 2020
Regularization of Inverse Problems by Neural Networks Markus Haltmeier Linh V. Nguyen 68 18 0 06 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 81 533 0 12 May 2020
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 96 363 0 27 Nov 2019
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction Ruihan Hu Qijun Huang Sheng Chang Hao Wang Jin He UQCV 41 32 0 25 Feb 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 65 845 0 21 Nov 2018
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 111 3,051 0 19 Oct 2017
Deep learning for undersampled MRI reconstruction Chang Min Hyun Hwa Pyung Kim S. Lee Sungchul Lee J.K. Seo 53 457 0 08 Sep 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 70 1,542 0 03 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing Hantao Yao Feng Dai Dongming Zhang Yike Ma Shiliang Zhang Yongdong Zhang Qi Tian 54 308 0 19 Feb 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 71 2,119 0 11 Nov 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,862 0 20 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015