On instabilities of deep learning in image reconstruction - Does AI come at a cost?

14 February 2019

Papers citing "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"

47 / 197 papers shown

Title
Unsupervised Knowledge-Transfer for Learned Image Reconstruction Riccardo Barbano Ž. Kereta A. Hauptmann Simon Arridge Bangti Jin 71 11 0 06 Jul 2021
The Feasibility and Inevitability of Stealth Attacks I. Tyukin D. Higham Alexander Bastounis Eliyas Woldegeorgis Alexander N. Gorban AAML 48 19 0 26 Jun 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry Martin Genzel Jan Macdonald M. März 68 4 0 01 Jun 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives Guang Yang Jun Lv Yutong Chen Jiahao Huang Jin Zhu MedIm 49 10 0 04 May 2021
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation Itzik Malkiel Sangtae Ahn V. Taviani A. Menini Lior Wolf C. Hardy MedIm 18 0 0 05 Apr 2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications P. M. Winter Sebastian K. Eder J. Weissenbock Christoph Schwald Thomas Doms Tom Vogt Sepp Hochreiter Bernhard Nessler 113 25 0 31 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization Marius Arvinte S. Vishwanath Ahmed H. Tewfik Jonathan I. Tamir 104 38 0 02 Mar 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations Fangqiu Yi Jinghan Jia Burhaneddin Yaman S. Moeller Sijia Liu Mingyi Hong Mehmet Akçakaya AAML 56 8 0 25 Feb 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 103 183 0 16 Feb 2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter C. Kolbitsch 3DV 62 24 0 01 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 119 136 0 20 Jan 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew Muckley Bruno Riemenschneider A. Radmanesh Sunwoo Kim Geunu Jeong ... Anuroop Sriram Zhengnan Huang N. Yakubova Yvonne W. Lui Florian Knoll OOD 84 45 0 09 Dec 2020
Convex Regularization Behind Neural Reconstruction Arda Sahiner Morteza Mardani Batu Mehmet Ozturkler Mert Pilanci John M. Pauly 67 25 0 09 Dec 2020
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 111 105 0 01 Dec 2020
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 134 49 0 30 Nov 2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging Marija Vella João F. C. Mota 110 4 0 29 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 67 107 0 09 Nov 2020
Adversarial Robust Training of Deep Learning MRI Reconstruction Models Francesco Calivá Kaiyang Cheng Rutwik Shah V. Pedoia OOD AAML MedIm 91 12 0 30 Oct 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 86 8 0 25 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model Zhuonan He Yikun Zhang Yu Guan S. Niu Yi Zhang Yang Chen Qiegen Liu DiffM MedIm 89 12 0 27 Sep 2020
Stabilizing Deep Tomographic Reconstruction Weiwen Wu Dianlin Hu W. Cong Hongming Shan Shaoyu Wang Chuang Niu Pingkun Yan Hengyong Yu V. Vardhanabhuti Ge Wang OOD 71 10 0 04 Aug 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 91 26 0 29 Jul 2020
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion M. Emzir Sari Lasanen Z. Purisha L. Roininen Simo Särkkä 80 9 0 28 Jun 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock MedIm 82 19 0 15 Jun 2020
Learning the geometry of wave-based imaging K. Kothari Maarten V. de Hoop Ivan Dokmanić AI4CE 70 8 0 10 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 131 538 0 12 May 2020
Deep variational network for rapid 4D flow MRI reconstruction V. Vishnevskiy Jonas Walheim Sebastian Kozerke 61 69 0 20 Apr 2020
Interval Neural Networks as Instability Detectors for Image Reconstructions Jan Macdonald M. März Luis Oala Wojciech Samek 50 2 0 27 Mar 2020
Interval Neural Networks: Uncertainty Scores Luis Oala Cosmas Heiß Jan Macdonald M. März Wojciech Samek Gitta Kutyniok UQCV 67 25 0 25 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 119 190 0 10 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Yue Liu OOD AAML 96 51 0 26 Feb 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 129 97 0 26 Feb 2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant Shayan Aziznejad Harshit Gupta Joaquim Campos M. Unser 75 36 0 17 Jan 2020
The gap between theory and practice in function approximation with deep neural networks Ben Adcock N. Dexter 73 95 0 16 Jan 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 150 214 0 06 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 87 35 0 05 Jan 2020
Solving Traveltime Tomography with Deep Learning Yuwei Fan Lexing Ying 92 15 0 25 Nov 2019
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing Bernhard Stimpel Christopher Syben Franziska Schirrmacher P. Hoelter Arnd Dörfler Andreas Maier MedIm 35 24 0 18 Nov 2019
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell C. L. Zitnick Aaron Defazio D. Sodickson 151 106 0 27 Oct 2019
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior Yixing Huang Alexander Preuhs G. Lauritsch M. Manhart Xiaolin Huang Andreas Maier 91 40 0 19 Aug 2019
Parametric Majorization for Data-Driven Energy Minimization Methods Jonas Geiping Michael Moeller 134 4 0 17 Aug 2019
Solving Electrical Impedance Tomography with Deep Learning Yuwei Fan Lexing Ying 99 104 0 06 Jun 2019
What do AI algorithms actually learn? - On false structures in deep learning L. Thesing Vegard Antun A. Hansen 38 21 0 04 Jun 2019
PYRO-NN: Python Reconstruction Operators in Neural Networks Christopher Syben Markus Michen Bernhard Stimpel Stephan Seitz Stefan B. Ploner Andreas Maier AI4CE 51 62 0 30 Apr 2019
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 67 64 0 30 Nov 2018