[PDF][PDF] Machine Learning-based Prediction of Relative Regional Air Volume Change from Healthy Human Lung CTs.

E Kim, YH Lee, J Choi, B Yoo, KJ Chae… - KSII Trans. Internet Inf. Syst …, 2023 - itiis.org
Abstract Machine learning is widely used in various academic fields, and recently it has
been actively applied in the medical research. In the medical field, machine learning is used …

Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans

ED Angelini, J Yang, PP Balte, EA Hoffman… - Thorax, 2023 - thorax.bmj.com
Background Treatment and preventative advances for chronic obstructive pulmonary
disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if …

[HTML][HTML] A computed tomography imaging-based subject-specific whole-lung deposition model

X Zhang, F Li, PK Rajaraman, J Choi… - European Journal of …, 2022 - Elsevier
The respiratory tract is an important route for beneficial drug aerosol or harmful particulate
matter to enter the body. To assess the therapeutic response or disease risk, whole-lung …

Contrastive learning and subtyping of post-COVID-19 lung computed tomography images

F Li, X Zhang, AP Comellas, EA Hoffman… - Frontiers in …, 2022 - frontiersin.org
Patients who recovered from the novel coronavirus disease 2019 (COVID-19) may
experience a range of long-term symptoms. Since the lung is the most common site of the …

Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network

SE Gerard, MFA Chaudhary, J Herrmann… - Medical …, 2023 - Wiley Online Library
Background Chest computed tomography (CT) enables characterization of pulmonary
diseases by producing high‐resolution and high‐contrast images of the intricate lung …

A titratable murine model of progressive emphysema using tracheal porcine pancreatic elastase

I Joshi, AJ Devine, R Joshi, NJ Smith, BM Varisco - Scientific Reports, 2023 - nature.com
Progressive emphysema often leads to end-stage lung disease. Most mouse models of
emphysema are typically modest (ie cigarette smoke exposure), and changes over time are …

Structural and functional alterations of subjects with cement dust exposure: a longitudinal quantitative computed tomography-based study

T Kim, M Lim, WJ Kim, TT Ho, CH Lee, KJ Chae… - Science of the Total …, 2022 - Elsevier
Cement dust exposure (CDE) can be a risk factor for pulmonary disease, causing changes
in segmental airways and parenchymal lungs. This study investigates longitudinal …

Predicting Acute Exacerbation Phenotype in Chronic Obstructive Pulmonary Disease Patients Using VGG-16 Deep Learning

S Feng, R Zhang, W Zhang, Y Yang, A Song, J Chen… - Respiration, 2025 - karger.com
Introduction: Exacerbations of chronic obstructive pulmonary disease (COPD) have a
significant impact on hospitalizations, morbidity, and mortality of patients. This study aimed …

[HTML][HTML] Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis

F Li, X Zhang, AP Comellas, EA Hoffman, MM Graham… - medRxiv, 2024 - ncbi.nlm.nih.gov
Background: The objective of this study is to understand chronic obstructive pulmonary
disease (COPD) phenotypes and their progressions by quantifying heterogeneities of lung …

Chronic Obstructive Pulmonary Disease and Small Airways Diseases

BM Elicker - Seminars in Respiratory and Critical Care …, 2022 - thieme-connect.com
The small airways are a common target of injury within the lungs and may be affected by a
wide variety of inhaled, systemic, and other disorders. Imaging is critical in the detection and …