Reproducibility of 3He-MRI acquisition assessed by a deep learning approach: ventilation defects in the VaPE-Tox pilot study
G. Hiura (New York, United States of America), X. Zhang (New York, United States of America), Y. Sun (New York, United States of America), M. Prince (New York, United States of America), S. Dashnaw (New York, United States of America), J. Wild (New York, United States of America), E. Hughes (New York, United States of America), W. Shen (New York, United States of America), E. Oelsner (New York, United States of America)
Source: Virtual Congress 2020 – Imaging-based phenotyping in pulmonary disease
Session: Imaging-based phenotyping in pulmonary disease
Session type: E-poster session
Number: 2092
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G. Hiura (New York, United States of America), X. Zhang (New York, United States of America), Y. Sun (New York, United States of America), M. Prince (New York, United States of America), S. Dashnaw (New York, United States of America), J. Wild (New York, United States of America), E. Hughes (New York, United States of America), W. Shen (New York, United States of America), E. Oelsner (New York, United States of America). Reproducibility of 3He-MRI acquisition assessed by a deep learning approach: ventilation defects in the VaPE-Tox pilot study. 2092
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