most citedModeling human observer detection in undersampled magnetic resonance imaging (MRI) reconstruction with total variation and wavelet sparsity regularization

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022

Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection

Joshua D. Herman, Rachel E. Roca, Alexandra G. O'Neill +3

Recent research has explored using neural networks to reconstruct undersampled magnetic resonance imaging (MRI) data. Because of the complexity of the artifacts in the reconstructe…

physics.med-ph2022★ 1 cited

Modeling human observer detection in undersampled magnetic resonance imaging (MRI) reconstruction with total variation and wavelet sparsity regularization

Alexandra G. O'Neill, Emely L. Valdez, Sajan Goud Lingala +1

Purpose: Task-based assessment of image quality in undersampled magnetic resonance imaging provides a way of evaluating the impact of regularization on task performance. In this wo…