Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz

12 May 2023

Papers citing "Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz"

36 / 36 papers shown

Title
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models Ezgi Demircan-Tureyen F. Lucka Tristan van Leeuwen DiffM 117 0 0 09 Nov 2024
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 57 36 0 05 Aug 2022
Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman J. Thiagarajan Rushil Anirudh V. Narayanaswamy P. Bremer UQCV OOD 45 27 0 14 Jul 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging Kerstin Hammernik Thomas Kustner Burhaneddin Yaman Zhengnan Huang Daniel Rueckert Florian Knoll Mehmet Akçakaya PINN MedIm AI4CE 75 73 0 23 Mar 2022
Estimating MRI Image Quality via Image Reconstruction Uncertainty Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso 44 3 0 21 Jun 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll Thomas Pock UQCV BDL 45 50 0 12 Feb 2021
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 44 100 0 01 Dec 2020
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge Zaccharie Ramzi P. Ciuciu Jean-Luc Starck 51 23 0 15 Oct 2020
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior M. Laves Malte Tolle T. Ortmaier UQCV BDL MedIm 36 45 0 20 Aug 2020
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression Jun Qi Jun Du Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee 33 226 0 12 Aug 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 60 59 0 08 Jul 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 59 160 0 06 May 2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant Shayan Aziznejad Harshit Gupta Joaquim Campos M. Unser 49 36 0 17 Jan 2020
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 49 32 0 05 Jan 2020
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance Jo Schlemper Ilkay Oksuz J. Clough Jinming Duan A. King Julia A. Schnabel Joseph V. Hajnal Daniel Rueckert 33 24 0 24 Sep 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 87 456 0 12 Jun 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 128 152 0 28 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 68 134 0 15 May 2019
Stability and Generalization of Graph Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN MLT 87 158 0 03 May 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 48 601 0 14 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 65 843 0 21 Nov 2018
On Lipschitz Bounds of General Convolutional Neural Networks Dongmian Zou R. Balan Maneesh Kumar Singh 43 53 0 04 Aug 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 74 270 0 06 May 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 89 691 0 25 Apr 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach Tsui-Wei Weng Huan Zhang Pin-Yu Chen Jinfeng Yi D. Su Yupeng Gao Cho-Jui Hsieh Luca Daniel AAML 76 467 0 31 Jan 2018
Deep Learning-Guided Image Reconstruction from Incomplete Data B. Kelly Thomas P. Matthews M. Anastasio 50 54 0 02 Sep 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 183 1,216 0 26 Jun 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 85 1,531 0 28 Apr 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 48 1,540 0 03 Apr 2017
Lipschitz Properties for Deep Convolutional Networks R. Balan Maneesh Kumar Singh Dongmian Zou 69 47 0 18 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 687 5,798 0 05 Dec 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 65 2,118 0 11 Nov 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 247 11,145 0 14 Mar 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 673 9,290 0 06 Jun 2015
Compression Artifacts Reduction by a Deep Convolutional Network Chao Dong Yubin Deng Chen Change Loy Xiaoou Tang SupR 46 793 0 27 Apr 2015
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks J. Shtok M. Zibulevsky Michael Elad 64 44 0 28 Nov 2013