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

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

14 February 2019
Vegard Antun
F. Renna
C. Poon
Ben Adcock
A. Hansen
ArXiv (abs)PDFHTML

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

50 / 197 papers shown
Title
HiPreNets: High-Precision Neural Networks through Progressive Training
HiPreNets: High-Precision Neural Networks through Progressive Training
Ethan Mulle
W. Kang
Q. Gong
23
0
0
18 Jun 2025
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders
Chethan Krishnamurthy Ramanaik
Arjun Roy
Eirini Ntoutsi
AAML
47
0
0
06 May 2025
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers
M. Unser
Stanislas Ducotterd
116
0
0
24 Mar 2025
On the uncertainty principle of neural networks
On the uncertainty principle of neural networks
Jun-Jie Zhang
Dong-xiao Zhang
Jian-Nan Chen
L. Pang
Deyu Meng
147
3
0
17 Jan 2025
Deep Guess acceleration for explainable image reconstruction in
  sparse-view CT
Deep Guess acceleration for explainable image reconstruction in sparse-view CT
E. L. Piccolomini
Davide Evangelista
E. Morotti
OOD
100
1
0
02 Dec 2024
LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
LAMA: Stable Dual-Domain Deep Reconstruction For Sparse-View CT
Chi-Jiao Ding
Qingchao Zhang
Ge Wang
X. Ye
Yunmei Chen
16
0
0
28 Oct 2024
Scalable quality control on processing of large diffusion-weighted and
  structural magnetic resonance imaging datasets
Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets
Michael E. Kim
Chenyu Gao
Karthik Ramadass
Praitayini Kanakaraj
N. Newlin
...
Zhiyuan Li
Bennett A. Landman
N. Khairi
The Alzheimers Disease Neuroimaging Initiative
The HABSHD Study Team
41
2
0
25 Sep 2024
Parseval Convolution Operators and Neural Networks
Parseval Convolution Operators and Neural Networks
Michael Unser
Stanislas Ducotterd
56
3
0
19 Aug 2024
Computability of Classification and Deep Learning: From Theoretical
  Limits to Practical Feasibility through Quantization
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization
Holger Boche
Vít Fojtík
Adalbert Fono
Gitta Kutyniok
135
1
0
12 Aug 2024
Misrepresented Technological Solutions in Imagined Futures: The Origins
  and Dangers of AI Hype in the Research Community
Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community
Savannah Thais
62
3
0
08 Aug 2024
LIP-CAR: contrast agent reduction by a deep learned inverse problem
LIP-CAR: contrast agent reduction by a deep learned inverse problem
Davide Bianchi
Sonia Colombo Serra
Davide Evangelista
Pengpeng Luo
E. Morotti
Giovanni Valbusa
MedIm
63
0
0
15 Jul 2024
Iteratively Refined Image Reconstruction with Learned Attentive
  Regularizers
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
Mehrsa Pourya
Sebastian Neumayer
Michael Unser
135
0
0
09 Jul 2024
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn
  Good Representations?
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
Mark Ibrahim
David Klindt
Randall Balestriero
SSL
130
5
1
15 Jun 2024
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion
  Score Blending for 3D Computed Tomography Reconstruction
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
Bowen Song
Jason Hu
Zhaoxu Luo
Jeffrey A. Fessler
Liyue Shen
MedImDiffM
89
8
0
14 Jun 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
Beyond the Norms: Detecting Prediction Errors in Regression Models
A. Altieri
Marco Romanelli
Georg Pichler
F. Alberge
Pablo Piantanida
85
0
0
11 Jun 2024
Erase to Enhance: Data-Efficient Machine Unlearning in MRI
  Reconstruction
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Yuyang Xue
Jingshuai Liu
Jingyu Sun
Sotirios A. Tsaftaris
MU
67
2
0
24 May 2024
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
Ziyu Shu
Zhixin Pan
70
2
0
17 Apr 2024
Learning smooth functions in high dimensions: from sparse polynomials to
  deep neural networks
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks
Ben Adcock
Simone Brugiapaglia
N. Dexter
S. Moraga
61
4
0
04 Apr 2024
Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
Wanyu Bian
Albert Jang
Fang Liu
84
9
0
29 Mar 2024
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in
  XAI
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI
Anna Stubbin
Thompson Chyrikov
Jim Zhao
Christina Chajo
55
0
0
23 Mar 2024
PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in
  Seconds
PyHySCO: GPU-Enabled Susceptibility Artifact Distortion Correction in Seconds
Abigail Julian
Lars Ruthotto
38
0
0
15 Mar 2024
Gadolinium dose reduction for brain MRI using conditional deep learning
Gadolinium dose reduction for brain MRI using conditional deep learning
Thomas Pinetz
Erich Kobler
Robert Haase
Julian A. Luetkens
M. Meetschen
Johannes Haubold
Cornelius Deuschl
A. Radbruch
Katerina Deike
Alexander Effland
MedIm
36
3
0
06 Mar 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
74
0
0
19 Feb 2024
Evaluating Adversarial Robustness of Low dose CT Recovery
Evaluating Adversarial Robustness of Low dose CT Recovery
Kanchana Vaishnavi Gandikota
Paramanand Chandramouli
Hannah Dröge
Michael Moeller
OODAAML
65
3
0
18 Feb 2024
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of
  Conjugate Variables in System Attacks
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks
Jun-Jie Zhang
Deyu Meng
AAML
83
3
0
16 Feb 2024
Multilinear Kernel Regression and Imputation via Manifold Learning
Multilinear Kernel Regression and Imputation via Manifold Learning
D. Nguyen
Konstantinos Slavakis
54
2
0
06 Feb 2024
Weakly Supervised Learners for Correction of AI Errors with Provable
  Performance Guarantees
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees
I. Tyukin
T. Tyukina
Daniel van Helden
Zedong Zheng
Evgeny M. Mirkes
Oliver J. Sutton
Qinghua Zhou
Alexander N. Gorban
Penelope Allison
173
1
0
31 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and
  Judicial Constraints: The Algorithmic Transparency Requirement
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
105
4
0
18 Jan 2024
Do stable neural networks exist for classification problems? -- A new
  view on stability in AI
Do stable neural networks exist for classification problems? -- A new view on stability in AI
Z. N. D. Liu
A. C. Hansen
74
0
0
15 Jan 2024
The Effect of Human v/s Synthetic Test Data and Round-tripping on
  Assessment of Sentiment Analysis Systems for Bias
The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias
Kausik Lakkaraju
Aniket Gupta
Biplav Srivastava
Marco Valtorta
Dezhi Wu
60
2
0
15 Jan 2024
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT
  Reconstruction
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction
Shuo Xu
Yucheng Zhang
Gang Chen
Xincheng Xiang
Peng Cong
Yuewen Sun
39
1
0
30 Dec 2023
Learned reconstruction methods for inverse problems: sample error
  estimates
Learned reconstruction methods for inverse problems: sample error estimates
Luca Ratti
60
0
0
21 Dec 2023
SISMIK for brain MRI: Deep-learning-based motion estimation and
  model-based motion correction in k-space
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
54
1
0
20 Dec 2023
When can you trust feature selection? -- I: A condition-based analysis
  of LASSO and generalised hardness of approximation
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
54
2
0
18 Dec 2023
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse
  Training Data
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin
Reinhard Heckel
OOD
70
6
0
16 Dec 2023
Single PW takes a shortcut to compound PW in US imaging
Single PW takes a shortcut to compound PW in US imaging
Zhiqiang Li
Hengrong Lan
Lijie Huang
Qiong He
Jianwen Luo
28
1
0
15 Dec 2023
Fast Sampling generative model for Ultrasound image reconstruction
Fast Sampling generative model for Ultrasound image reconstruction
Hengrong Lan
Zhiqiang Li
Qiong He
Jianwen Luo
MedIm
31
3
0
15 Dec 2023
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)
Shijun Liang
Van Hoang Minh Nguyen
Jinghan Jia
Ismail Alkhouri
Sijia Liu
S. Ravishankar
75
1
0
12 Dec 2023
Local monotone operator learning using non-monotone operators: MnM-MOL
Local monotone operator learning using non-monotone operators: MnM-MOL
Maneesh John
Jyothi Rikabh Chand
Mathews Jacob
56
1
0
01 Dec 2023
IMJENSE: Scan-specific Implicit Representation for Joint Coil
  Sensitivity and Image Estimation in Parallel MRI
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
85
28
0
21 Nov 2023
Electrical Impedance Tomography: A Fair Comparative Study on Deep
  Learning and Analytic-based Approaches
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches
Derick Nganyu Tanyu
Jianfeng Ning
Andreas Hauptmann
Bangti Jin
Peter Maass
54
7
0
28 Oct 2023
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy
C. T. Ye
Jiashu Han
Kunzan Liu
Anastasios Nikolas Angelopoulos
Linda G. Griffith
Kristina Monakhova
Sixian You
77
4
0
24 Oct 2023
Convergent ADMM Plug and Play PET Image Reconstruction
Convergent ADMM Plug and Play PET Image Reconstruction
F. Sureau
Mahdi Latreche
Marion Savanier
C. Comtat
3DV
41
3
0
06 Oct 2023
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
Batu Mehmet Ozturkler
Chao Liu
Benjamin Eckart
Morteza Mardani
Jiaming Song
Jan Kautz
83
17
0
03 Oct 2023
Cine cardiac MRI reconstruction using a convolutional recurrent network
  with refinement
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement
Yuyang Xue
Yuning Du
Gianluca Carloni
Eva Pachetti
Connor Jordan
Sotirios A. Tsaftaris
56
1
0
23 Sep 2023
Convergence and Recovery Guarantees of Unsupervised Neural Networks for
  Inverse Problems
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems
Nathan Buskulic
M. Fadili
Yvain Quéau
95
5
0
21 Sep 2023
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse
  Problems
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems
Huayu Wang
Chen Luo
Taofeng Xie
Qiyu Jin
Guoqing Chen
Zhuoxu Cui
Dong Liang
AAML
88
2
0
17 Sep 2023
Ensuring Topological Data-Structure Preservation under Autoencoder
  Compression due to Latent Space Regularization in Gauss--Legendre nodes
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss--Legendre nodes
Chethan Krishnamurthy Ramanaik
Juan Esteban Suarez Cardona
Anna Willmann
Pia Hanfeld
Nico Hoffmann
Michael Hecht
89
1
0
15 Sep 2023
Evaluating Chatbots to Promote Users' Trust -- Practices and Open
  Problems
Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
Biplav Srivastava
Kausik Lakkaraju
T. Koppel
Vignesh Narayanan
Ashish Kundu
Sachindra Joshi
73
2
0
09 Sep 2023
Ensemble linear interpolators: The role of ensembling
Ensemble linear interpolators: The role of ensembling
Mingqi Wu
Qiang Sun
82
2
0
06 Sep 2023
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