Dr. Sajan G. Lingala Profile

Dr. Sajan G. Lingala

at Univ of Iowa

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Author

Publications (4)

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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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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