Reducing the number of reconstructions needed for estimating channelized observer performance. - Angel R. Pineda; Hope Miedema; Melissa Brenner; Sana Altaf (Image Perception, Observer Performance, and Technology Assessment, 2018)

Laguerre-Gauss and sparse difference-of-Gaussians observer models for signal detection using constrained reconstruction in magnetic resonance imaging. - Angel R. Pineda (Image Perception, Observer Performance, and Technology Assessment, 2019)

Modeling human observer detection in undersampled magnetic resonance imaging (MRI). - Alexandra G. O'Neill; Emely L. Valdez; Sajan Goud Lingala; Angel R. Pineda (Image Perception, Observer Performance, and Technology Assessment, 2021)

Predicting human detection performance in magnetic resonance imaging (MRI) with total variation and wavelet sparsity regularizers. - Alexandra G. O'Neill; Sajan Goud Lingala; Angel R. Pineda (Image Perception, Observer Performance, and Technology Assessment, 2022)

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; Marcus L. Wong; Sajan Goud Lingala; Angel R. Pineda (CoRR, 2022)

Optimizing data acquisition in undersampled magnetic resonance imaging (MRI) using two alternative forced choice (2-AFC) and search tasks. - Tavianne M. Kemp; Tetsuya A. Kawakita; Rehan Mehta; Angel R. Pineda (Image Perception, Observer Performance, and Technology Assessment, 2023)