Impact of deep learning-based image super-resolution on binary signal
detection

Impact of deep learning-based image super-resolution on binary signal detection

6 July 2021

Varun A. Kelkar

Jason L. Granstedt

Papers citing "Impact of deep learning-based image super-resolution on binary signal detection"

7 / 7 papers shown

Title
A detection-task-specific deep-learning method to improve the quality of sparse-view myocardial perfusion SPECT images Zezhang Yang Zitong Yu Nuri Choi Abhinav K. Jha 34 0 0 22 Apr 2025
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 34 0 0 10 Oct 2024
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT Zitong Yu Md Ashequr Rahman Richard Laforest T. Schindler R. Gropler R. Wahl Barry A. Siegel Abhinav K. Jha MedIm 18 22 0 03 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 32 0 0 21 Oct 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 20 25 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 22 1 0 07 Apr 2022
Prior image-based medical image reconstruction using a style-based generative adversarial network Varun A. Kelkar M. Anastasio GAN MedIm 17 4 0 17 Feb 2022