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3. Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images.

4. Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

7. Forward Computational Modeling of Respiratory Airflow.

11. Airflow in a Multiscale Subject-Specific Breathing Human Lung Model

16. List of contributors

19. Human airway branch variation and chronic obstructive pulmonary disease

26. Association of dysanapsis with mortality among older adults

31. Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

34. Lung Lobar Slippage Assessed with the Aid of Image Registration

36. Evaluation of Lobar Biomechanics during Respiration Using Image Registration

38. Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

41. Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed-Tomography-Based Latent Traits: A Deep Learning Approach

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