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
Can We Rely on AI? D. Higham AAML 65 0 0 29 Aug 2023
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction Riccardo Barbano Alexander Denker Hyungjin Chung Tae Hoon Roh Simon Arrdige Peter Maass Bangti Jin J. C. Ye MedIm 72 5 0 28 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 63 20 0 27 Aug 2023
Implicit Neural Representation in Medical Imaging: A Comparative Survey Amir Molaei Amirhossein Aminimehr A. Tavakoli Amirhossein Kazerouni Babak Azad Reza Azad Dorit Merhof OOD 88 88 0 30 Jul 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction Zehao Wang Xiaotong Yu Chengyan Wang Weibo Chen Jiazheng Wang ... C. Cai Zhongze Chen D. Guo Guang Yang X. Qu AI4CE 118 14 0 25 Jul 2023
Unsupervised reconstruction of accelerated cardiac cine MRI using Neural Fields Tabita Catalán Matías Courdurier A. Osses René M. Botnar F. Sahli Costabal Claudia Prieto 88 9 0 24 Jul 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering Anselm Krainovic Mahdi Soltanolkotabi Reinhard Heckel OOD 53 7 0 24 Jul 2023
Two Approaches to Supervised Image Segmentation Alexandre Benatti L. D. F. Costa 59 2 0 19 Jul 2023
Reliable AI: Does the Next Generation Require Quantum Computing? Aras Bacho Holger Boche Gitta Kutyniok 47 2 0 03 Jul 2023
Real-World Performance of Autonomously Reporting Normal Chest Radiographs in NHS Trusts Using a Deep-Learning Algorithm on the GP Pathway Jordan Smith T. N. Morgan P. Williams Q. Malik S. Rasalingham OOD 53 1 0 28 Jun 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 141 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 121 5 0 13 Apr 2023
Multi-Linear Kernel Regression and Imputation in Data Manifolds D. Nguyen Konstantinos Slavakis MedIm 28 0 0 06 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 64 9 0 28 Mar 2023
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates M. Eggen A. Midtfjord 55 2 0 14 Mar 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling Hui Li Jinghan Jia Shijun Liang Yuguang Yao S. Ravishankar Sijia Liu 90 4 0 14 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 101 1 0 13 Mar 2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems Haocheng Ju Haimiao Zhang Lin Li Xiao Li B. Dong BDL 80 3 0 07 Mar 2023
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications? Ou Zheng Mohamed Abdel-Aty Dongdong Wang Zijin Wang Shengxuan Ding LM&MA 80 15 0 06 Mar 2023
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML Andrés Domínguez Hernández Vassilis Galanos 123 4 0 03 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification Mevan Ekanayake Kamlesh Pawar Gary Egan Zhaolin Chen UQCV 57 0 0 28 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 95 3 0 20 Feb 2023
Advances in Automatically Rating the Trustworthiness of Text Processing Services Biplav Srivastava Kausik Lakkaraju Mariana Bernagozzi Marco Valtorta 52 6 0 04 Feb 2023
Rating Sentiment Analysis Systems for Bias through a Causal Lens Kausik Lakkaraju Biplav Srivastava Marco Valtorta 60 8 0 04 Feb 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 98 82 0 09 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 80 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 49 3 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 78 5 0 24 Nov 2022
Deep unfolding as iterative regularization for imaging inverse problems Zhuoxu Cui Qingyong Zhu Jing Cheng Dong Liang 84 5 0 24 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 97 27 0 22 Nov 2022
Noise-resilient approach for deep tomographic imaging Zhen Guo Zhiguang Liu Qihang Zhang George Barbastathis M. Glinsky 41 1 0 22 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 138 54 0 20 Nov 2022
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality Guy Ohayon Theo Adrai Michael Elad T. Michaeli AAML 107 14 0 16 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 63 2 0 06 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 103 12 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 84 13 0 28 Oct 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 47 5 0 26 Oct 2022
Residual Back Projection With Untrained Neural Networks Ziyu Shu A. Entezari MedIm 52 7 0 26 Oct 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll Thomas Pock OOD MedIm DiffM 149 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 42 5 0 19 Oct 2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 61 2 0 05 Sep 2022
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation Nitzan Avidan Moti Freiman OOD 53 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 53 2 0 31 Aug 2022
A Path Towards Clinical Adaptation of Accelerated MRI Michael S. Yao M. Hansen MedIm 129 1 0 26 Aug 2022
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations Jan Nikolas Morshuis S. Gatidis Matthias Hein Christian F. Baumgartner AAML OOD 95 13 0 05 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 62 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 127 17 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 62 2 0 04 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 112 32 0 29 Jun 2022
Stability of Image-Reconstruction Algorithms Pol del Aguila Pla Sebastian Neumayer M. Unser 118 10 0 14 Jun 2022