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?"

50 / 197 papers shown

Title
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 64 27 0 14 Jun 2022
Physics-driven Deep Learning for PET/MRI Abhejit Rajagopal Andrew P. Leynes N. Dwork J. Scholey T. Hope P. Larson PINN 3DV MedIm AI4CE 13 3 0 11 Jun 2022
Learned reconstruction methods with convergence guarantees Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 87 51 0 11 Jun 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 80 4 0 10 Jun 2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 66 1 0 09 Jun 2022
Memory-efficient model-based deep learning with convergence and robustness guarantees Aniket Pramanik M. Zimmerman M. Jacob 3DV 73 13 0 06 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 66 5 0 06 Jun 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data Shijun Liang Anish Lahiri S. Ravishankar 72 3 0 01 Jun 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising Peizhou Huang Chaoyi Zhang Xiaoliang Zhang Xiaojuan Li Liang Dong L. Ying 92 16 0 07 May 2022
Physics-assisted Generative Adversarial Network for X-Ray Tomography Zhen Guo J. Song George Barbastathis M. Glinsky C. Vaughan K. Larson B. Alpert Z. Levine GAN MedIm 64 9 0 07 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 64 46 0 06 Apr 2022
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? Julien Audibert Pietro Michiardi F. Guyard Sébastien Marti Maria A. Zuluaga AI4TS 85 55 0 04 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 76 3 0 01 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 129 34 0 27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu Xinyu Lin Sijia Liu AAML 172 21 0 26 Mar 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 94 75 0 23 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 92 11 0 18 Mar 2022
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction A. Perelli Suxer Lazara Alfonso Garcia A. Bousse J. Tasu Nikolaos Efthimiadis D. Visvikis 60 9 0 10 Mar 2022
On the Construction of Distribution-Free Prediction Intervals for an Image Regression Problem in Semiconductor Manufacturing Inimfon I. Akpabio S. Savari UQCV 36 0 0 07 Mar 2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 54 1 0 04 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 75 9 0 02 Mar 2022
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior Javier Antorán Riccardo Barbano Johannes Leuschner José Miguel Hernández-Lobato Bangti Jin UQCV 115 10 0 28 Feb 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 99 25 0 28 Feb 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems Alban Gossard P. Weiss MedIm 50 7 0 23 Feb 2022
Data-Consistent Local Superresolution for Medical Imaging Junqi Tang SupR 62 0 0 22 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging M. Laves Malte Tolle Alexander Schlaefer Sandy Engelhardt 78 10 0 02 Feb 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI Thomas Yu T. Hilbert G. Piredda Arun A. Joseph G. Bonanno ... P. Omoumi Meritxell Bach Cuadra Erick Jorge Canales-Rodríguez Thomas Kober Jean-Philippe Thiran 69 5 0 29 Jan 2022
Unsupervised Learning From Incomplete Measurements for Inverse Problems Julián Tachella Dongdong Chen Mike Davies SSL 129 22 0 28 Jan 2022
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography Fabian Wagner Mareike Thies Mingxuan Gu Yixing Huang Sabrina Pechmann ... O. Aust S. Uderhardt G. Schett S. Christiansen Andreas Maier MedIm AI4CE 79 22 0 25 Jan 2022
Reconstruction of Incomplete Wildfire Data using Deep Generative Models T. Ivek Domagoj Vlah SyDa 73 7 0 16 Jan 2022
Sparsest Univariate Learning Models Under Lipschitz Constraint Shayan Aziznejad Thomas Debarre M. Unser 77 4 0 27 Dec 2021
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images Ruiwen Xing T. Humphries D. Si GAN MedIm 118 1 0 23 Dec 2021
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 184 92 0 23 Dec 2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI Zhuoxu Cui Jing Cheng Qi Zhu Yuanyuan Liu Seng Jia ... Ziwen Ke Wenqi Huang Haifeng Wang Yanjie Zhu Dong Liang 65 8 0 18 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin Soheil Feizi Ramalingam Chellappa AAML 83 13 0 12 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 102 21 0 23 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 123 534 0 15 Nov 2021
Explaining medical AI performance disparities across sites with confounder Shapley value analysis Eric Wu K. Wu James Zou 48 8 0 12 Nov 2021
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions Matthew J. Colbrook 68 2 0 24 Oct 2021
Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning Arjun D Desai Batu Mehmet Ozturkler Christopher M. Sandino R. Boutin M. Willis S. Vasanawala B. Hargreaves Christopher Ré John M. Pauly Akshay S. Chaudhari 100 3 0 30 Sep 2021
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig AI4CE 53 11 0 16 Sep 2021
Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE) Sutanu Bhowmick Satish Nagarajaiah 36 7 0 14 Sep 2021
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks Alexander Bastounis A. Hansen Verner Vlacic AAML OOD 108 28 0 13 Sep 2021
Disrupting Adversarial Transferability in Deep Neural Networks Christopher Wiedeman Ge Wang AAML 96 7 0 27 Aug 2021
Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery F. Fan Björn Kreher H. Keil Andreas Maier Yixing Huang 40 5 0 25 Aug 2021
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction Liyue Shen John M. Pauly Lei Xing 69 204 0 24 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 46 0 0 21 Aug 2021
Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser Abinash Nayak 31 2 0 17 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 104 339 0 03 Aug 2021
Artificial Intelligence in PET: an Industry Perspective Arkadiusz Sitek Sangtae Ahn E. Asma A. Chandler Alvin Ihsani S. Prevrhal Arman Rahmim Babak Saboury K. Thielemans 32 5 0 14 Jul 2021