Dr. Angel R. Pineda Profile

Dr. Angel R. Pineda

Professor at Hofstra University

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Author

Publications (14)

SPIE Journal Paper | 13 August 2024

Task-based assessment for neural networks: evaluating undersampled MRI reconstructions based on human observer signal detection

Joshua Herman, Rachel Roca, Alexandra O'Neill, Marcus Wong, Sajan Goud Lingala, Angel Pineda

JMI, Vol. 11, Issue 04, 045503, (August 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.4.045503

KEYWORDS: Education and training, Neural networks, Image quality, Signal detection, Image restoration, Signal attenuation, Magnetic resonance imaging, Cross validation, Network architectures, Statistical analysis

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Proceedings Article | 29 March 2024 Presentation + Paper

Modeling human observer detection for varying data acquisition in undersampled MRI for two-alternative forced choice (2-AFC) and forced localization tasks

Rehan Mehta, Tetsuya Kawakita, Angel Pineda

Proceedings Volume 12929, 1292907 (2024) https://doi.org/10.1117/12.3005839

KEYWORDS: Performance modeling, Magnetic resonance imaging, Data acquisition, Aliasing, Modeling, Image restoration, Signal detection, Education and training, Statistical modeling

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Proceedings Article | 3 April 2023 Presentation + Paper

Optimizing data acquisition in undersampled magnetic resonance imaging (MRI) using two alternative forced choice (2-AFC) and search tasks

Tavianne Kemp, Tetsuya Kawakita, Rehan Mehta, Angel Pineda

Proceedings Volume 12467, 124670U (2023) https://doi.org/10.1117/12.2654323

KEYWORDS: Magnetic resonance imaging, Data acquisition, Aliasing, Signal detection, Performance modeling, Image quality

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SPIE Journal Paper | 25 February 2023

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

Alexandra O’Neill, Emely Valdez, Sajan Lingala, Angel Pineda

JMI, Vol. 10, Issue 01, 015502, (February 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.1.015502

KEYWORDS: Wavelets, Image restoration, Magnetic resonance imaging, Image quality, Signal detection, Modeling, Performance modeling, Data modeling, Signal to noise ratio, Medical image reconstruction

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Predicting human detection performance in magnetic resonance imaging (MRI) with total variation and wavelet sparsity regularizers

Alexandra O'Neill, Sajan Goud Lingala, Angel Pineda

Proceedings Volume 12035, 1203511 (2022) https://doi.org/10.1117/12.2608986

KEYWORDS: Wavelets, Magnetic resonance imaging, Performance modeling, Signal detection, Magnetic sensors, Image resolution, Image quality, Databases, Neuroimaging, Mathematics

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Proceedings Article | 15 February 2021 Presentation + Paper

Modeling human observer detection in undersampled magnetic resonance imaging (MRI)

Alexandra O'Neill, Emely Valdez, Sajan Lingala, Angel Pineda

Proceedings Volume 11599, 115990H (2021) https://doi.org/10.1117/12.2581076

KEYWORDS: Magnetic resonance imaging, Magnetic sensors, Eye models, Performance modeling, Neuroimaging, Image restoration, Image quality, Eye, Brain

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Proceedings Article | 4 March 2019 Presentation + Paper

Laguerre-Gauss and sparse difference-of-Gaussians observer models for signal detection using constrained reconstruction in magnetic resonance imaging

Angel Pineda

Proceedings Volume 10952, 109520A (2019) https://doi.org/10.1117/12.2512813

KEYWORDS: Signal detection, Magnetic resonance imaging, Data acquisition, Statistical analysis, Image quality, Statistical modeling, Reconstruction algorithms

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Proceedings Article | 7 March 2018 Presentation + Paper

Reducing the number of reconstructions needed for estimating channelized observer performance

Angel Pineda, Hope Miedema, Melissa Brenner, Sana Altaf

Proceedings Volume 10577, 105770U (2018) https://doi.org/10.1117/12.2293745

KEYWORDS: Magnetic resonance imaging, Statistical analysis, Feature selection, Image quality, Signal detection, Optimization (mathematics), Image classification

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Proceedings Article | 3 April 2008 Paper

Analysis of image noise in 3D cone-beam CT: spatial and Fourier domain approaches under conditions of varying stationarity

Angel Pineda, Jeffrey Siewerdsen, Daniel Tward

Proceedings Volume 6913, 69131Q (2008) https://doi.org/10.1117/12.772966

KEYWORDS: Sensors, Image filtering, Modulation, Optical filters, Imaging systems, Signal detection, Image analysis, X-rays, 3D image processing, Computed tomography

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Proceedings Article | 3 April 2008 Paper

Cascaded systems analysis of the 3D NEQ for cone-beam CT and tomosynthesis

D. Tward, J. Siewerdsen, R. Fahrig, A. Pineda

Proceedings Volume 6913, 69131S (2008) https://doi.org/10.1117/12.772999

KEYWORDS: 3D modeling, 3D metrology, 3D image processing, Sensors, Imaging systems, Modulation transfer functions, Interference (communication), Systems modeling, Stereoscopy, X-rays

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Proceedings Article | 5 June 2003 Paper

Fast tomosynthesis for lung cancer detection using the SBDX geometry

Rebecca Fahrig, Angel Pineda, Edward Solomon, Ann Leung, Norbert Pelc

Proceedings Volume 5030, (2003) https://doi.org/10.1117/12.480149

KEYWORDS: Lung, Lung cancer, Tissues, Tomography, X-ray computed tomography, Computed tomography, Sensors, Chest imaging, Image resolution, Computer simulations

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Proceedings Article | 28 June 2001 Paper

What does DQE say about lesion detectability in digital radiography?

Angel Pineda, Harrison Barrett

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430880

KEYWORDS: Signal to noise ratio, Radiography, Imaging systems, Signal detection, Data modeling, Photons, Sensors, Interference (communication), Modulation transfer functions, Analog electronics

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Proceedings Article | 28 June 2001 Paper

Analytical approximations to the Hotelling trace for digital x-ray detectors

Eric Clarkson, Angel Pineda, Harrison Barrett

Proceedings Volume 4320, (2001) https://doi.org/10.1117/12.430932

KEYWORDS: Sensors, X-ray detectors, Signal to noise ratio, Fourier transforms, Signal processing, Digital signal processing, Signal detection, Imaging systems, Medical imaging, Convolution

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Proceedings Article | 25 April 2000 Paper

Spatially varying detectability for optical tomography

Angel Pineda, Harrison Barrett, Simon Arridge

Proceedings Volume 3977, (2000) https://doi.org/10.1117/12.384548

KEYWORDS: Signal detection, Imaging systems, Signal attenuation, Optical tomography, Statistical analysis, Photons, Sensors, Image quality, Reconstruction algorithms, Scattering

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Showing 5 of 14 publications

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