Code repository for the paper “Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series”
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Updated
Jul 20, 2025 - Python
Code repository for the paper “Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series”
Lung image analysis pipeline for topological PRM maps
A convolutional neural network (CNN) based model designed for efficient COPD detection using lung sound recordings
Regional lung volume change heatmap from inspiratory/expiratory chest CT — dual-phase deformable (B-spline) registration + Jacobian-determinant visualization. PySide6/PyCt6 desktop tool (app_pyct6).
Clinical ML for COPD comorbidities (arrhythmia/HF) with feature engineering, LASSO and baseline analyses.
Interactive and interpretable COPD screening from respiratory sounds using AeroCOPDNet, with log-Mel analysis, SmoothGrad saliency, deletion-based faithfulness testing, audio-quality checks, and a Streamlit human-review dashboard.
COPD, Respiratory ,Machine-Learning, Audiomics
Deep learning framework for COPD data analysis, integrating preprocessing, model training, interpretability, and figure generation pipelines. Supports reproducible research and publication-ready results.
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