Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization

3 March 2022

Papers citing "Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization"

3 / 3 papers shown

Title
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function Megan Lantz E. Sidky Ingrid S. Reiser Xiaochuan Pan Gregory Ongie 44 1 0 15 Feb 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 20 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 34 0 0 21 Oct 2022