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Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach.

, , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753K. SPIE, (2018)

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Localization and segmentation of optimal slices for chest fat quantification in CT via deep learning., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170K. SPIE, (2020)Fat segmentation on chest CT images via fuzzy models., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978609. SPIE, (2016)Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753K. SPIE, (2018)Survival after bilateral versus single-lung transplantation for idiopathic pulmonary fibrosis., , , , , , , , , and . Ann Intern Med, 151 (11): 767--774 (December 2009)Fat quantification and analysis of lung transplant patients on unenhanced chest CT images based on standardized anatomic space., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 978817. SPIE, (2016)