v1v2v3 (latest)

On hallucinations in tomographic image reconstruction

1 December 2020

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 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 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 82 0 0 25 Apr 2025
TPC: Cross-Temporal Prediction Connection for Vision-Language Model Hallucination Reduction Chao Wang Weiwei Fu Yang Zhou MLLM VLM 137 0 0 06 Mar 2025
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew Bendel Rizwan Ahmad P. Schniter MedIm DiffM 82 1 0 01 Nov 2024
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 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 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 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 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 Ziyu Shu Zhixin Pan 65 2 0 17 Apr 2024
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 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 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 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 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 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 Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 120 7 0 09 Sep 2023
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 D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen Matthew S. Rosen UQCV OOD 141 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 87 36 0 11 Apr 2023
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 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 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 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 Varun A. Kelkar Dimitrios S. Gotsis F. Brooks K. Prabhat Kyle J. Myers R. Zeng M. Anastasio MedIm GAN LM&MA 86 26 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 57 1 0 07 Apr 2022
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 Maksym Neyra-Nesterenko Ben Adcock 75 9 0 02 Mar 2022
Prior image-based medical image reconstruction using a style-based generative adversarial network Varun A. Kelkar M. Anastasio GAN MedIm 70 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 82 3 0 10 Feb 2022
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 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 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 Varun A. Kelkar M. Anastasio 75 30 0 24 Feb 2021
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 134 49 0 30 Nov 2020
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