Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.00646
Cited By
v1
v2
v3 (latest)
On hallucinations in tomographic image reconstruction
IEEE Transactions on Medical Imaging (TMI), 2020
1 December 2020
Sayantan Bhadra
Varun A. Kelkar
F. Brooks
M. Anastasio
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"On hallucinations in tomographic image reconstruction"
43 / 43 papers shown
HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration
Seunghoi Kim
Henry F. J. Tregidgo
Chen Jin
Matteo Figini
Daniel C. Alexander
DiffM
HILM
205
0
0
03 Dec 2025
Video Finetuning Improves Reasoning Between Frames
Ruiqi Yang
Tian Yun
Zihan Wang
Ellie Pavlick
LRM
168
0
0
17 Nov 2025
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors
Namhoon Kim
Sara Fridovich-Keil
OOD
UQCV
243
1
0
13 Oct 2025
Leveraging NTPs for Efficient Hallucination Detection in VLMs
Ofir Azachi
Kfir Eliyahu
Eyal El Ani
Rom Himelstein
Roi Reichart
Yuval Pinter
Nitay Calderon
VLM
213
1
0
20 Sep 2025
Systematic Review and Meta-analysis of AI-driven MRI Motion Artifact Detection and Correction
Mojtaba Safari
Zach Eidex
Richard L. J. Qiu
Matthew Goette
Tonghe Wang
Xiaofeng Yang
MedIm
136
1
0
05 Sep 2025
Hallucinations in medical devices
Jason Granstedt
Prabhat Kc
Rucha Deshpande
Victor Garcia
Aldo Badano
214
6
0
18 Aug 2025
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
159
1
0
16 Jun 2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
306
2
0
14 May 2025
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
DiffM
MedIm
310
0
0
25 Apr 2025
TPC: Cross-Temporal Prediction Connection for Vision-Language Model Hallucination Reduction
Chao Wang
Weiwei Fu
Yang Zhou
MLLM
VLM
439
4
0
06 Mar 2025
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Neural Information Processing Systems (NeurIPS), 2024
Matthew Bendel
Rizwan Ahmad
P. Schniter
MedIm
DiffM
371
2
0
01 Nov 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
Gleb I. Radchenko
Victoria Andrea Fill
253
1
0
11 Oct 2024
Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging
Youzuo Lin
Shihang Feng
J. Theiler
Yinpeng Chen
Umberto Villa
Jing Rao
John Greenhall
Cristian Pantea
M. Anastasio
B. Wohlberg
320
1
0
10 Oct 2024
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Yuyang Xue
Jingshuai Liu
Jingyu Sun
Sotirios A. Tsaftaris
MU
240
2
0
24 May 2024
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
416
27
0
08 May 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
Medical Physics (Lancaster) (MPL), 2024
Rucha Deshpande
Varun A. Kelkar
Dimitrios S. Gotsis
Prabhat Kc
Rongping Zeng
Kyle J. Myers
F. Brooks
M. Anastasio
MedIm
238
5
0
03 May 2024
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
Ziyu Shu
Zhixin Pan
243
7
0
17 Apr 2024
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Computer Vision and Pattern Recognition (CVPR), 2024
Chong Wang
Lanqing Guo
Yufei Wang
Hao Cheng
Yi Yu
Bihan Wen
233
20
0
15 Mar 2024
Optimization of array encoding for ultrasound imaging
Jacob Spainhour
Korben Smart
S. Becker
Nick Bottenus
MedIm
217
4
0
01 Mar 2024
Training-set-free two-stage deep learning for spectroscopic data de-noising
Dongchen Huang
Junde Liu
Tian Qian
Hongming Weng
291
0
0
29 Feb 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
210
3
0
20 Dec 2023
Conditional Variational Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Gabriel della Maggiora
L. Croquevielle
Nikita Desphande
Harry Horsley
Thomas Heinis
Artur Yakimovich
DiffM
449
6
0
04 Dec 2023
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy
Optics Express (OE), 2023
C. T. Ye
Jiashu Han
Kunzan Liu
Anastasios Nikolas Angelopoulos
Linda G. Griffith
Kristina Monakhova
Sixian You
246
4
0
24 Oct 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Varun A. Kelkar
Rucha Deshpande
Arindam Banerjee
M. Anastasio
DRL
MedIm
371
10
0
09 Sep 2023
Two Approaches to Supervised Image Segmentation
Alexandre Benatti
L. D. F. Costa
410
2
0
19 Jul 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
IEEE journal of biomedical and health informatics (IEEE JBHI), 2023
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
Matthew S. Rosen
UQCV
OOD
444
2
0
12 May 2023
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
221
69
0
11 Apr 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
Scientific Reports (Sci Rep), 2023
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
188
14
0
31 Mar 2023
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection
Journal of Medical Imaging (JMI), 2022
Joshua Herman
Rachel E. Roca
Alexandra G. OÑeill
M. L. Wong
S. Lingala
A. Pineda
173
2
0
21 Oct 2022
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Malte Tolle
Ullrich Kothe
F. André
B. Meder
Sandy Engelhardt
218
5
0
29 Jul 2022
Learning ReLU networks to high uniform accuracy is intractable
International Conference on Learning Representations (ICLR), 2022
Julius Berner
Philipp Grohs
F. Voigtlaender
303
5
0
26 May 2022
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
K. Prabhat
Kyle J. Myers
R. Zeng
M. Anastasio
MedIm
GAN
LM&MA
282
38
0
26 Apr 2022
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
210
1
0
07 Apr 2022
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Minghui Wu
Yangdi Xu
Yingying Xu
Guangwei Wu
Qingqing Chen
Hongxiang Lin
MedIm
225
0
0
23 Mar 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems
Sampling Theory, Signal Processing, and Data Analysis (TSPDA), 2022
Maksym Neyra-Nesterenko
Ben Adcock
289
11
0
02 Mar 2022
Prior image-based medical image reconstruction using a style-based generative adversarial network
Varun A. Kelkar
M. Anastasio
GAN
MedIm
191
5
0
17 Feb 2022
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
377
4
0
10 Feb 2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
255
11
0
02 Feb 2022
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2021
Muhammed Razzak
Gonzalo Mateo-García
L. Gómez-Chova
Y. Gal
F. Kalaitzis
212
59
0
05 Nov 2021
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
156
28
0
06 Jul 2021
Prior Image-Constrained Reconstruction using Style-Based Generative Models
International Conference on Machine Learning (ICML), 2021
Varun A. Kelkar
M. Anastasio
256
32
0
24 Feb 2021
Model Adaptation for Inverse Problems in Imaging
IEEE Transactions on Computational Imaging (TCI), 2020
Davis Gilton
Greg Ongie
Rebecca Willett
OOD
MedIm
533
53
0
30 Nov 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems
SIAM Review (SIAM Rev.), 2020
N. Gottschling
Vegard Antun
A. Hansen
Ben Adcock
529
56
0
05 Jan 2020
1
Page 1 of 1
