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Andrew P Leynes

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Medical Imaging|February 9, 2024
Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI ReconstructionAndrew P Leynes, Nikhil Deveshwar, Srikantan S Nagarajan, et al.
Medical Physics|August 10, 2019
Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learningPeng Cao, Jing Liu, Shuyu Tang, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|January 15, 2024
Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning Pseudo-CT and Maximum-Likelihood Estimation of Activity and AttenuationAndrew P Leynes, Sangtae Ahn, Kristen A Wangerin, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 1, 2017
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRIAndrew P Leynes, Jaewon Yang, Florian Wiesinger, et al.
Medical Physics|January 24, 2017
Hybrid ZTE/Dixon MR-based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRIAndrew P Leynes, Jaewon Yang, Dattesh D Shanbhag, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|February 15, 2020
Simultaneous T<sub>1</sub> and T<sub>2</sub> mapping of hyperpolarized <sup>13</sup>C compounds using the bSSFP sequenceEugene Milshteyn, Galen D Reed, Jeremy W Gordon, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|January 16, 2025
Spatially constrained hyperpolarized 13C MRI pharmacokinetic rate constant map estimation using a digital brain phantom and a U-NetSule Sahin, Anna Bennett Haller, Jeremy Gordon, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Medical Imaging|February 9, 2024
Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI ReconstructionAndrew P Leynes, Nikhil Deveshwar, Srikantan S Nagarajan, et al.
Medical Physics|August 10, 2019
Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learningPeng Cao, Jing Liu, Shuyu Tang, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|January 15, 2024
Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning Pseudo-CT and Maximum-Likelihood Estimation of Activity and AttenuationAndrew P Leynes, Sangtae Ahn, Kristen A Wangerin, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 1, 2017
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRIAndrew P Leynes, Jaewon Yang, Florian Wiesinger, et al.
Medical Physics|January 24, 2017
Hybrid ZTE/Dixon MR-based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRIAndrew P Leynes, Jaewon Yang, Dattesh D Shanbhag, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|February 15, 2020
Simultaneous T<sub>1</sub> and T<sub>2</sub> mapping of hyperpolarized <sup>13</sup>C compounds using the bSSFP sequenceEugene Milshteyn, Galen D Reed, Jeremy W Gordon, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|January 16, 2025
Spatially constrained hyperpolarized 13C MRI pharmacokinetic rate constant map estimation using a digital brain phantom and a U-NetSule Sahin, Anna Bennett Haller, Jeremy Gordon, et al.
Pageof 1