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Area under the expiratory flow-volume curve: predicted values by regression and deep learning methods and recommendations for clinical practice

Authors:Octavian Ioachimescu, Emory UniversityJosé A Ramos, Cleveland ClinicMichael Hoffman, Cleveland ClinicJames K Stoller, Cleveland Clinic

Date:2021

Publisher:BMJ PUBLISHING GROUP

Publication Version:Final Published Version

License:Creative Commons Attribution-NonCommercial 4.0 International

Assessing small airway disease in GLI versus NHANES III based spirometry using area under the expiratory flow-volume curve

Authors:Octavian Ioachimescu, Emory UniversityJames K. Stoller, Cleveland Clinic Foundation

Date:2019

Publisher:BMJ

Publication Version:Final Published Version

License:Creative Commons Attribution-NonCommercial 4.0 International

Preclinical quantification of air leaks in a physiologic lung model: Effects of ventilation modality and staple design

Authors:Chad E Eckert, Ethicon Inc.Jason L Harris, Ethicon Inc.Jordan B Wong, Ethicon Inc.Suzanne Thompson, Ethicon Inc.Edmund S Kassis, Ethicon Inc.Masahiro Tsuboi, National Cancer Center Hospital EastHarald C Ott, Massachusetts General HospitalSeth Force, Emory University

Date:2018

Publisher:Dove Medical Press

Publication Version:Final Published Version

License:Creative Commons Attribution-Noncommercial 3.0 Unported

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Area under the expiratory flow-volume curve: predicted values by regression and deep learning methods and recommendations for clinical practice

Assessing small airway disease in GLI versus NHANES III based spirometry using area under the expiratory flow-volume curve

Preclinical quantification of air leaks in a physiologic lung model: Effects of ventilation modality and staple design

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