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On hallucinations in tomographic image reconstruction
v1v2v3 (latest)

On hallucinations in tomographic image reconstruction

1 December 2020
Sayantan Bhadra
Varun A. Kelkar
F. Brooks
M. Anastasio
ArXiv (abs)PDFHTML

Papers citing "On hallucinations in tomographic image reconstruction"

37 / 37 papers shown
Title
Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
Yuan Gao
Shaoyan Pan
Mingzhe Hu
Huiqiao Xie
Jill Remick
Chih-Wei Chang
J. Roper
Zhen Tian
Xiaofeng Yang
23
0
0
16 Jun 2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
91
0
0
14 May 2025
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
Jiahao Huang
Fanwen Wang
Pedro F. Ferreira
Haiqi Zhang
Yinzhe Wu
...
R. Rajakulasingam
Ranil De Silva
D. Pennell
Guang Yang
S. Nielles-Vallespin
DiffMMedIm
82
0
0
25 Apr 2025
TPC: Cross-Temporal Prediction Connection for Vision-Language Model Hallucination Reduction
Chao Wang
Weiwei Fu
Yang Zhou
MLLMVLM
137
0
0
06 Mar 2025
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component
  Regularization
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Matthew Bendel
Rizwan Ahmad
P. Schniter
MedImDiffM
82
1
0
01 Nov 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty
  Estimation
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
Gleb I. Radchenko
Victoria Andrea Fill
49
0
0
11 Oct 2024
Physics and Deep Learning in Computational Wave Imaging
Physics and Deep Learning in Computational Wave Imaging
Youzuo Lin
Shihang Feng
J. Theiler
Yinpeng Chen
Umberto Villa
Jing Rao
John Greenhall
Cristian Pantea
M. Anastasio
B. Wohlberg
63
1
0
10 Oct 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
Synthetic Data in Radiological Imaging: Current State and Future Outlook
Synthetic Data in Radiological Imaging: Current State and Future Outlook
E. Sizikova
A. Badal
Jana G. Delfino
Miguel Lago
Brandon Nelson
Niloufar Saharkhiz
B. Sahiner
Ghada Zamzmi
Aldo Badano
MedIm
74
5
0
08 May 2024
Report on the AAPM Grand Challenge on deep generative modeling for
  learning medical image statistics
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
Rucha Deshpande
Varun A. Kelkar
Dimitrios S. Gotsis
Prabhat Kc
Rongping Zeng
Kyle J. Myers
F. Brooks
M. Anastasio
MedIm
68
4
0
03 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
65
2
0
17 Apr 2024
Progressive Divide-and-Conquer via Subsampling Decomposition for
  Accelerated MRI
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Chong Wang
Lanqing Guo
Yufei Wang
Hao Cheng
Yi Yu
Bihan Wen
65
9
0
15 Mar 2024
Optimization of array encoding for ultrasound imaging
Optimization of array encoding for ultrasound imaging
Jacob Spainhour
Korben Smart
S. Becker
Nick Bottenus
MedIm
48
3
0
01 Mar 2024
Training-set-free two-stage deep learning for spectroscopic data
  de-noising
Training-set-free two-stage deep learning for spectroscopic data de-noising
Dongchen Huang
Junde Liu
Tian Qian
Hongming Weng
57
0
0
29 Feb 2024
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
Conditional Variational Diffusion Models
Conditional Variational Diffusion Models
Gabriel della Maggiora
L. Croquevielle
Nikita Desphande
Harry Horsley
Thomas Heinis
Artur Yakimovich
DiffM
54
3
0
04 Dec 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
70
4
0
24 Oct 2023
AmbientFlow: Invertible generative models from incomplete, noisy
  measurements
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Varun A. Kelkar
Rucha Deshpande
Arindam Banerjee
M. Anastasio
DRLMedIm
120
7
0
09 Sep 2023
Two Approaches to Supervised Image Segmentation
Two Approaches to Supervised Image Segmentation
Alexandre Benatti
L. D. F. Costa
57
2
0
19 Jul 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep
  Learning-Based Image Reconstruction using the Local Lipschitz
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
UQCVOOD
141
2
0
12 May 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical
  Satellite Time Series
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Patrick Ebel
Vivien Sainte Fare Garnot
M. Schmitt
Jan Dirk Wegner
Xiao Xiang Zhu
87
36
0
11 Apr 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance
  Reconstruction: A Comparison Study
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
Jiahao Huang
Pedro F. Ferreira
Lichao Wang
Yinzhe Wu
Angelica I. Aviles-Rivero
...
R. Rajakulasingam
Ranil De Silva
D. Pennell
S. Nielles-Vallespin
Guang Yang
DiffM
64
8
0
31 Mar 2023
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI
  Reconstructions based on Human Observer Signal Detection
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection
Joshua Herman
Rachel E. Roca
Alexandra G. OÑeill
M. L. Wong
S. Lingala
A. Pineda
81
0
0
21 Oct 2022
Content-Aware Differential Privacy with Conditional Invertible Neural
  Networks
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Malte Tolle
Ullrich Kothe
F. André
B. Meder
Sandy Engelhardt
65
5
0
29 Jul 2022
Learning ReLU networks to high uniform accuracy is intractable
Learning ReLU networks to high uniform accuracy is intractable
Julius Berner
Philipp Grohs
F. Voigtlaender
71
4
0
26 May 2022
Assessing the ability of generative adversarial networks to learn
  canonical medical image statistics
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
K. Prabhat
Kyle J. Myers
R. Zeng
M. Anastasio
MedImGANLM&MA
86
26
0
26 Apr 2022
Evaluating Procedures for Establishing Generative Adversarial
  Network-based Stochastic Image Models in Medical Imaging
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
Kyle J. Myers
Prabhat Kc
R. Zeng
M. Anastasio
MedIm
57
1
0
07 Apr 2022
Stable Optimization for Large Vision Model Based Deep Image Prior in
  Cone-Beam CT Reconstruction
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction
Minghui Wu
Yangdi Xu
Yingying Xu
Guangwei Wu
Qingqing Chen
Hongxiang Lin
MedIm
50
0
0
23 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for
  analysis-sparse inverse problems
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems
Maksym Neyra-Nesterenko
Ben Adcock
75
9
0
02 Mar 2022
Prior image-based medical image reconstruction using a style-based
  generative adversarial network
Prior image-based medical image reconstruction using a style-based generative adversarial network
Varun A. Kelkar
M. Anastasio
GANMedIm
70
5
0
17 Feb 2022
Mining the manifolds of deep generative models for multiple
  data-consistent solutions of ill-posed tomographic imaging problems
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems
Sayantan Bhadra
Umberto Villa
M. Anastasio
MedIm
82
3
0
10 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in
  medical imaging
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
76
10
0
02 Feb 2022
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with
  Radiometric Consistency Losses and Its Effect on Building Delineation
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
Muhammed Razzak
Gonzalo Mateo-García
L. Gómez-Chova
Y. Gal
F. Kalaitzis
83
44
0
05 Nov 2021
Impact of deep learning-based image super-resolution on binary signal
  detection
Impact of deep learning-based image super-resolution on binary signal detection
Xiaohui Zhang
Varun A. Kelkar
Jason L. Granstedt
Hua Li
M. Anastasio
MedIm
61
23
0
06 Jul 2021
Prior Image-Constrained Reconstruction using Style-Based Generative
  Models
Prior Image-Constrained Reconstruction using Style-Based Generative Models
Varun A. Kelkar
M. Anastasio
75
30
0
24 Feb 2021
Model Adaptation for Inverse Problems in Imaging
Model Adaptation for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
OODMedIm
134
49
0
30 Nov 2020
The troublesome kernel -- On hallucinations, no free lunches and the
  accuracy-stability trade-off in inverse problems
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
34
0
05 Jan 2020
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