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 / 94 papers shown

Title
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 59 2 0 17 Jan 2025
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 25 3 0 19 Aug 2024
PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds Abigail Julian Lars Ruthotto 18 0 0 15 Mar 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 33 4 0 18 Jan 2024
SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space Oscar Dabrowski J. Falcone A. Klauser J. Songeon Michel Kocher B. Chopard François Lazeyras S. Courvoisier MedIm 24 1 0 20 Dec 2023
When can you trust feature selection? -- I: A condition-based analysis of LASSO and generalised hardness of approximation Alexander Bastounis Felipe Cucker Anders C. Hansen 28 2 0 18 Dec 2023
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI Rui-jun Feng Qing Wu Jie Feng Huajun She Chunlei Liu Yuyao Zhang Hongjiang Wei 27 23 0 21 Nov 2023
Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems Biplav Srivastava Kausik Lakkaraju T. Koppel Vignesh Narayanan Ashish Kundu Sachindra Joshi 37 2 0 09 Sep 2023
Can We Rely on AI? D. Higham AAML 45 0 0 29 Aug 2023
Score-Based Generative Models for PET Image Reconstruction I. Singh Alexander Denker Riccardo Barbano vZeljko Kereta Bangti Jin K. Thielemans Peter Maass Simon Arridge DiffM MedIm 29 16 0 27 Aug 2023
Reliable AI: Does the Next Generation Require Quantum Computing? Aras Bacho Holger Boche Gitta Kutyniok 26 2 0 03 Jul 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 15 2 0 12 May 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 45 4 0 13 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 31 9 0 28 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 37 1 0 13 Mar 2023
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML Andrés Domínguez Hernández Vassilis Galanos 30 4 0 03 Mar 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Advances in Automatically Rating the Trustworthiness of Text Processing Services Biplav Srivastava Kausik Lakkaraju Mariana Bernagozzi Marco Valtorta 30 6 0 04 Feb 2023
Rating Sentiment Analysis Systems for Bias through a Causal Lens Kausik Lakkaraju Biplav Srivastava Marco Valtorta 34 7 0 04 Feb 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 21 7 0 08 Jan 2023
On Safe and Usable Chatbots for Promoting Voter Participation Bharath Muppasani Vishal Pallagani Kausik Lakkaraju Shuge Lei Biplav Srivastava Brett W. Robertson Andrea A. Hickerson Vignesh Narayanan 32 2 0 16 Dec 2022
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 30 4 0 24 Nov 2022
Deep unfolding as iterative regularization for imaging inverse problems Zhuoxu Cui Qingyong Zhu Jing Cheng Dong Liang 34 5 0 24 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 19 26 0 22 Nov 2022
Noise-resilient approach for deep tomographic imaging Zhen Guo Zhiguang Liu Qihang Zhang George Barbastathis M. Glinsky 22 1 0 22 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 25 52 0 20 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 30 2 0 06 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 32 11 0 02 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll Thomas Pock OOD MedIm DiffM 33 17 0 25 Oct 2022
Spectroscopic data de-noising via training-set-free deep learning method Dongchen Huang Junde Liu Tian Qian Yi-Feng Yang 24 5 0 19 Oct 2022
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation Nitzan Avidan Moti Freiman OOD 27 4 0 31 Aug 2022
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays T. Dyer Jordan Smith G. Dissez N. Tay Q. Malik T. N. Morgan P. Williams Liliana Garcia-Mondragon George Pearse S. Rasalingham OOD 19 2 0 31 Aug 2022
A Path Towards Clinical Adaptation of Accelerated MRI Michael S. Yao M. Hansen MedIm 42 1 0 26 Aug 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction Mevan Ekanayake Kamlesh Pawar Mehrtash Harandi Gary Egan Zhaolin Chen ViT MedIm 32 7 0 18 Jul 2022
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT Fabian Wagner Mareike Thies Felix Denzinger Mingxuan Gu Mayank Patwari Stefan B. Ploner Noah Maul Laura Pfaff Yixing Huang Andreas Maier MedIm 23 16 0 15 Jul 2022
AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas Maier OOD 30 2 0 04 Jul 2022
Stability of Image-Reconstruction Algorithms Pol del Aguila Pla Sebastian Neumayer M. Unser 8 10 0 14 Jun 2022
Localized adversarial artifacts for compressed sensing MRI Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 26 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 27 1 0 09 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 37 5 0 06 Jun 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data Shijun Liang Anish Lahiri S. Ravishankar 27 2 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 43 14 0 07 May 2022
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? Julien Audibert Pietro Michiardi F. Guyard Sébastien Marti Maria A. Zuluaga AI4TS 26 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 41 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 26 33 0 27 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 32 70 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 26 11 0 18 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 21 1 0 04 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 38 9 0 02 Mar 2022