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Conference and Workshop Papers
- 2023
[c5]Tavianne M. Kemp, Tetsuya A. Kawakita, Rehan Mehta, Angel R. Pineda:
Optimizing data acquisition in undersampled magnetic resonance imaging (MRI) using two alternative forced choice (2-AFC) and search tasks. Image Perception, Observer Performance, and Technology Assessment 2023- 2022
- [c4]Alexandra G. O'Neill, Sajan Goud Lingala, Angel R. Pineda:
Predicting human detection performance in magnetic resonance imaging (MRI) with total variation and wavelet sparsity regularizers. Image Perception, Observer Performance, and Technology Assessment 2022 - 2021
- [c3]Alexandra G. O'Neill, Emely L. Valdez, Sajan Goud Lingala, Angel R. Pineda:
Modeling human observer detection in undersampled magnetic resonance imaging (MRI). Image Perception, Observer Performance, and Technology Assessment 2021 - 2019
- [c2]Angel R. Pineda:
Laguerre-Gauss and sparse difference-of-Gaussians observer models for signal detection using constrained reconstruction in magnetic resonance imaging. Image Perception, Observer Performance, and Technology Assessment 2019: 109520A - 2018
- [c1]Angel R. Pineda, Hope Miedema, Melissa Brenner, Sana Altaf:
Reducing the number of reconstructions needed for estimating channelized observer performance. Image Perception, Observer Performance, and Technology Assessment 2018: 105770U
Informal and Other Publications
- 2022
- [i1]Joshua D. Herman, Rachel E. Roca, Alexandra G. O'Neill, Marcus L. Wong, Sajan Goud Lingala, Angel R. Pineda:
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection. CoRR abs/2210.12161 (2022)
Coauthor Index
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