Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study. - Jie Yang 041; Elsa D. Angelini; Pallavi P. Balte; Eric A. Hoffman; Colin O. Wu; Bharath A. Venkatesh; R. Graham Barr; Andrew F. Laine (MICCAI (2), 2016)

Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. - Jingkuan Song; Jie Yang 041; Benjamin M. Smith; Pallavi P. Balte; Eric A. Hoffman; R. Graham Barr; Andrew F. Laine; Elsa D. Angelini (ISBI, 2017)

Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. - Jie Yang 041; Elsa D. Angelini; Pallavi P. Balte; Eric A. Hoffman; John H. M. Austin; Benjamin M. Smith; Jingkuan Song; R. Graham Barr; Andrew F. Laine (MICCAI (1), 2017)

Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. - Yu Gan 003; Jie Yang 041; Benjamin M. Smith; Pallavi P. Balte; Eric A. Hoffman; Christine P. Hendon; R. Graham Barr; Andrew F. Laine; Elsa D. Angelini (ISBI, 2019)

Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. - Jie Yang 041; Thomas Vetterli; Pallavi P. Balte; R. Graham Barr; Andrew F. Laine; Elsa D. Angelini (ISBI, 2019)

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. - Jie Yang 041; Elsa D. Angelini; Pallavi P. Balte; Eric A. Hoffman; John H. M. Austin; Benjamin M. Smith; R. Graham Barr; Andrew F. Laine (CoRR, 2020)

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. - Jie Yang 041; Elsa D. Angelini; Pallavi P. Balte; Eric A. Hoffman; John H. M. Austin; Benjamin M. Smith; R. Graham Barr; Andrew F. Laine (IEEE Trans. Medical Imaging, 2021)