Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study. - Yrjö Tapio Hame; Elsa D. Angelini; Megha A. Parikh; Benjamin M. Smith; Eric A. Hoffman; R. Graham Barr; Andrew F. Laine (ISBI, 2015)

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. - Jie Yang 041; Elsa D. Angelini; Benjamin M. Smith; John H. M. Austin; Eric A. Hoffman; David A. Bluemke; R. Graham Barr; Andrew F. Laine (MCV/BAMBI@MICCAI, 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)

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)

Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study. - Artur Wysoczanski; Elsa D. Angelini; Benjamin M. Smith; Eric A. Hoffman; Grant T. Hiura; Yifei Sun; R. Graham Barr; Andrew F. Laine (ISBI, 2021)

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)

Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. - Artur Wysoczanski; Elsa D. Angelini; Yifei Sun; Benjamin M. Smith; Eric A. Hoffman; Karen Stukovsky; Matthew J. Budoff; Karol E. Watson; John Jeffrey Carr; Elizabeth C. Oelsner; R. Graham Barr; Andrew F. Laine (ISBI, 2023)

Improving A Large Healthcare System Research Data Warehouse Using OHDSI's Data Quality Dashboard. - Benoit Louis Marteau; Andrew Hornback; Yishan Zhong; Christian Lowson; Jason Woloff; Benjamin M. Smith; Coleman Hilton; May D. Wang (BHI, 2024)

Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. - Sneha N. Naik; Elsa D. Angelini; R. Graham Barr; Norrina Allen; Alain Bertoni; Eric A. Hoffman; Ani Manichaikul; Jim Pankow; Wendy Post; Yifei Sun; Karol E. Watson; Benjamin M. Smith; et al. (ISBI, 2024)

Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. - Xuzhe Zhang; Elsa D. Angelini; Eric A. Hoffman; Karol E. Watson; Benjamin M. Smith; R. Graham Barr; Andrew F. Laine (ISBI, 2024)

Multi-View Transformers for Airway-to-Lung Ratio Inference on Cardiac CT Scans: The C4R Study. - Sneha N. Naik; Elsa D. Angelini; Eric A. Hoffman; Elizabeth C. Oelsner; R. Graham Barr; Benjamin M. Smith; Andrew F. Laine (ISBI, 2025)

Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction. - Cheng Wan; Micky C. Nnamdi; Wenqi Shi; Benjamin M. Smith; Chad Purnell; May D. Wang (IEEE J. Biomed. Health Informatics, 2025)