| Influence of acellular natural lung matrix on murine embryonic stem cell differentiation and tissue formation J Cortiella, J Niles, A Cantu, A Brettler, A Pham, G Vargas, S Winston, ... Tissue Engineering Part A 16 (8), 2565-2580, 2010 | 457 | 2010 |
| Using hyperpolarized 129Xe MRI to quantify regional gas transfer in idiopathic pulmonary fibrosis JM Wang, SH Robertson, Z Wang, M He, RS Virgincar, GM Schrank, ... Thorax 73 (1), 21-28, 2018 | 142 | 2018 |
| Quantitative analysis of hyperpolarized 129Xe gas transfer MRI Z Wang, SH Robertson, J Wang, M He, RS Virgincar, GM Schrank, ... Medical physics 44 (6), 2415-2428, 2017 | 104 | 2017 |
| 129Xenon Gas Exchange Magnetic Resonance Imaging as a Potential Prognostic Marker for Progression of Idiopathic Pulmonary Fibrosis LJ Rankine, Z Wang, JM Wang, M He, HP McAdams, J Mammarappallil, ... Annals of the American Thoracic Society 17 (1), 121-125, 2020 | 30 | 2020 |
| Chronic obstructive pulmonary disease risk assessment tools: is one better than the others? JM Wang, MLK Han, WW Labaki Current opinion in pulmonary medicine 28 (2), 99-108, 2022 | 9 | 2022 |
| CT-based commercial software applications: improving patient care through accurate COPD subtyping JM Wang, S Ram, WW Labaki, MLK Han, CJ Galbán International Journal of Chronic Obstructive Pulmonary Disease, 919-930, 2022 | 5 | 2022 |
| Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS JM Wang, WW Labaki, S Murray, FJ Martinez, JL Curtis, EA Hoffman, ... Frontiers in physiology 14, 1144192, 2023 | 4 | 2023 |
| A Deep Learning-Based Radiomic Classifier for Usual Interstitial Pneumonia JH Chung, L Chelala, JV Pugashetti, JM Wang, A Adegunsoye, ... Chest 165 (2), 371-380, 2024 | 3 | 2024 |
| Differentiating early stage and later stage IPF using hyperpolarized 129Xe ventilation MRI M He, SH Robertson, JM Wang, CR Rackley, HP McAdams, B Driehuys C102. STATEGIES TO UNDERSTAND ILD: REGISTRIES, PROGNOSTIC INDICATORS AND …, 2016 | 2 | 2016 |
| Porous Microbeads as Three-Dimensional Scaffolds for Tissue Engineering J Wang NNIN REU Research Accomplishments, 32-33, 2010 | 2 | 2010 |
| Topologic parametric response mapping identifies tissue subtypes associated with emphysema progression JM Wang, AJ Bell, S Ram, WW Labaki, BA Hoff, S Murray, EA Kazerooni, ... Academic radiology 31 (3), 1148-1159, 2024 | 1 | 2024 |
| Plasma metabolomics and quantitative interstitial abnormalities in ever-smokers B Choi, R San José Estépar, S Godbole, JL Curtis, JM Wang, ... Respiratory Research 24 (1), 265, 2023 | 1 | 2023 |
| Topologic parametric response mapping identifies emphysema progression subtypes in COPDGene JM Wang, AJ Bell, S Ram, WW Labaki, BA Hoff, S Murray, E Kazerooni, ... D92. NOVEL IMAGING AND PHYSIOLOGIC MEASURES IN COPD, A6544-A6544, 2023 | 1 | 2023 |
| Longitudinal Follow Up After 129Xe MRI Scan; Potential to Stratify Idiopathic Pulmonary Fibrosis Disease Progression RM Tighe, L Rankine, Z Wang, J Wang, M He, C Rackley, HP McAdams, ... A73. DIFFUSE PARENCHYMAL LUNG DISEASE: NOVEL MECHANISMS, BIOMARKERS, AND …, 2018 | 1 | 2018 |
| Characterizing The Ventilation Distribution In Healthy Normal Subjects To Establish Robust Quantitative Analysis Of 129xe Mri M He, SH Robertson, JM Wang, LG Que, K Mahmood, B Driehuys, ... A19. GETTING POLARIZED: MR IMAGING IN OBSTRUCTIVE LUNG DISEASE, A1048-A1048, 2016 | 1 | 2016 |
| Using hyperpolarized 129Xe imaging to quantify apical vs. basal and central vs. peripheral gas exchange impairment in idiopathic pulmonary fibrosis JM Wang, SH Robertson, M He, RS Virgincar, GM Schrank, RM Smigla, ... C39. IPF: MORE ON DIAGNOSIS AND THERAPY, A4973-A4973, 2016 | 1 | 2016 |
| Local heterogeneity of normal lung parenchyma and small airways disease are associated with COPD severity and progression AJ Bell, R Pal, WW Labaki, BA Hoff, JM Wang, S Murray, EA Kazerooni, ... Respiratory Research 25 (1), 1-12, 2024 | | 2024 |
| Novel Machine Learning Algorithm Predicts All-cause Mortality in the National Lung Screening Trial JM Wang, S Bose, S Murray, WW Labaki, KR Flaherty, MK Han, J Oldham, ... C23. MACHINE LEARNED: AI-DRIVEN SOLUTIONS IN ILD AND LUNG TRANSPLANT, A5101 …, 2024 | | 2024 |
| New Quantitative Metric for Identifying Fibrosis Predicts Lung Cancer Outcomes in the National Lung Screening Trial JM Wang, S Bose, S Murray, WW Labaki, KR Flaherty, MK Han, C Hatt A23. LEVERAGING IMAGING AND BIOSAMPLES TO IMPROVE DIAGNOSIS AND RISK …, 2023 | | 2023 |
| Using Decision Tree Models to Predict FEV1 Decline in COPDGene JM Wang, WW Labaki, S Murray, FJ Martinez, JL Curtis, S Ram, A Bell, ... A22. IMAGING AND MOLECULAR BIOMARKERS IN COPD, A1097-A1097, 2022 | | 2022 |
