On hallucinations in tomographic image reconstruction

On hallucinations in tomographic image reconstruction

1 December 2020

Sayantan Bhadra

Varun A. Kelkar

Papers citing "On hallucinations in tomographic image reconstruction"

15 / 15 papers shown

Title
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Jeffrey Wen Rizwan Ahmad Philip Schniter 29 0 0 14 May 2025
Training-set-free two-stage deep learning for spectroscopic data de-noising Dongchen Huang Junde Liu Tian Qian Hongming Weng 36 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 24 1 0 20 Dec 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 M. Rosen UQCV OOD 15 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 20 32 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 23 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 34 0 0 21 Oct 2022
Content-Aware Differential Privacy with Conditional Invertible Neural Networks Malte Tolle Ullrich Kothe F. André B. Meder Sandy Engelhardt 25 5 0 29 Jul 2022
Learning ReLU networks to high uniform accuracy is intractable Julius Berner Philipp Grohs F. Voigtlaender 32 4 0 26 May 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 24 1 0 07 Apr 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 36 9 0 02 Mar 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 28 3 0 10 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 21 39 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 15 23 0 06 Jul 2021
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 16 48 0 30 Nov 2020