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Automatic labeling of respiratory phases and detection of abnormal respiratory signals in free-breathing thoracic dynamic MR image acquisitions based on deep learning.

, , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113150A. SPIE, (2020)

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Automatic labeling of respiratory phases and detection of abnormal respiratory signals in free-breathing thoracic dynamic MR image acquisitions based on deep learning., , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113150A. SPIE, (2020)Lung parenchymal characterization via thoracic dynamic MRI in normal children and pediatric patients with TIS., , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Automatic lung segmentation in dynamic thoracic MRI using two-stage deep convolutional neural networks., , , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Upper limb kinematics of adults with cerebral palsy on bilateral functional tasks., and . EMBC, page 5676-5679. IEEE, (2016)Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)QdMRI: a system for a comprehensive analysis of thoracic dynamics via dynamic MRI., , , , , , , , , and 1 other author(s). Medical Imaging: Image-Guided Procedures, volume 12034 of SPIE Proceedings, SPIE, (2022)