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Angel R Pineda

Showing results (11-20 of 24) with videos related to

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Physics in Medicine and Biology|June 30, 2021
Optimizing constrained reconstruction in magnetic resonance imaging for signal detectionAngel R Pineda, Hope Miedema, Sajan Goud Lingala, et al.
Medical Physics|September 10, 2008
Noise considerations of three-point water-fat separation imaging methodsZhifei Wen, Scott B Reeder, Angel R Pineda, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|November 16, 2006
Information content of data types in time-domain optical tomographyAngel R Pineda, Martin Schweiger, Simon R Arridge, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 21, 2022
Modeling human observer detection in undersampled magnetic resonance imaging (MRI)Alexandra G O'Neill, Emely L Valdez, Sajan Goud Lingala, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 28, 2023
Modeling human observer detection in undersampled magnetic resonance imaging reconstruction with total variation and wavelet sparsity regularizationAlexandra G O'Neill, Emely L Valdez, Sajan Goud Lingala, et al.
Magnetic Resonance in Medicine|June 11, 2011
On the performance of T2* correction methods for quantification of hepatic fat contentScott B Reeder, Emily K Bice, Huanzhou Yu, et al.
Magnetic Resonance in Medicine|October 31, 2007
SENSE phase-constrained magnitude reconstruction with iterative phase refinementCalvin Lew, Angel R Pineda, David Clayton, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 3, 2010
Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fatVenkata V Chebrolu, Huanzhou Yu, Angel R Pineda, et al.
Magnetic Resonance in Medicine|January 6, 2004
Multicoil Dixon chemical species separation with an iterative least-squares estimation methodScott B Reeder, Zhifei Wen, Huanzhou Yu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 15, 2024
Task-based assessment for neural networks: evaluating undersampled MRI reconstructions based on human observer signal detectionJoshua D Herman, Rachel E Roca, Alexandra G O'Neill, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Physics in Medicine and Biology|June 30, 2021
Optimizing constrained reconstruction in magnetic resonance imaging for signal detectionAngel R Pineda, Hope Miedema, Sajan Goud Lingala, et al.
Medical Physics|September 10, 2008
Noise considerations of three-point water-fat separation imaging methodsZhifei Wen, Scott B Reeder, Angel R Pineda, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|November 16, 2006
Information content of data types in time-domain optical tomographyAngel R Pineda, Martin Schweiger, Simon R Arridge, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 21, 2022
Modeling human observer detection in undersampled magnetic resonance imaging (MRI)Alexandra G O'Neill, Emely L Valdez, Sajan Goud Lingala, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 28, 2023
Modeling human observer detection in undersampled magnetic resonance imaging reconstruction with total variation and wavelet sparsity regularizationAlexandra G O'Neill, Emely L Valdez, Sajan Goud Lingala, et al.
Magnetic Resonance in Medicine|June 11, 2011
On the performance of T2* correction methods for quantification of hepatic fat contentScott B Reeder, Emily K Bice, Huanzhou Yu, et al.
Magnetic Resonance in Medicine|October 31, 2007
SENSE phase-constrained magnitude reconstruction with iterative phase refinementCalvin Lew, Angel R Pineda, David Clayton, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 3, 2010
Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fatVenkata V Chebrolu, Huanzhou Yu, Angel R Pineda, et al.
Magnetic Resonance in Medicine|January 6, 2004
Multicoil Dixon chemical species separation with an iterative least-squares estimation methodScott B Reeder, Zhifei Wen, Huanzhou Yu, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 15, 2024
Task-based assessment for neural networks: evaluating undersampled MRI reconstructions based on human observer signal detectionJoshua D Herman, Rachel E Roca, Alexandra G O'Neill, et al.
Pageof 3