Han Kang
Beijing, 100025, China
Last Updated: 09/26/2026
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Found 17 publications
Developing a deep learning-based imaging diagnostic framework, PVDNet, for differentiating pulmonary artery sarcoma and pulmonary thromboembolism: a multi-center observational study.
Journal: The Lancet regional health. Western Pacific
Published: January 07, 2025
Collaborative artificial intelligence and clinical evaluation of interstitial lung diseases: a call for interdisciplinary partnerships.
Journal: Science bulletin
Published: January 07, 2025
Correlation Between Intranodular Vessels and Tumor Invasiveness of Lung Adenocarcinoma Presenting as Ground-glass Nodules: A Deep Learning 3-Dimensional Reconstruction Algorithm-based Quantitative Analysis on Noncontrast Computed Tomography Images.
Journal: Journal of thoracic imaging
Published: August 02, 2023
A machine learning model for diagnosing acute pulmonary embolism and comparison with Wells score, revised Geneva score, and Years algorithm.
Journal: Chinese medical journal
Published: May 09, 2023
Developing the Lung Graph-Based Machine Learning Model for Identification of Fibrotic Interstitial Lung Diseases.
Journal: Journal of imaging informatics in medicine
Published: May 02, 2023
Clot ratio, new clot burden score with deep learning, correlates with the risk stratification of patients with acute pulmonary embolism.
Journal: Quantitative imaging in medicine and surgery
Published: March 14, 2023
Development and validation of a lung graph-based machine learning model to predict acute pulmonary thromboembolism on chest noncontrast computed tomography.
Journal: Quantitative imaging in medicine and surgery
Published: October 01, 2022
Idiopathic pulmonary fibrosis disease progression: a dynamic quantitative chest computed tomography follow-up analysis.
Journal: Quantitative imaging in medicine and surgery
Published: August 11, 2022
Quantitative analysis of high-resolution computed tomography features of idiopathic pulmonary fibrosis: a structure-function correlation study.
Journal: Quantitative imaging in medicine and surgery
Published: December 26, 2021
Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images.
Journal: International journal of computer assisted radiology and surgery
Published: August 06, 2021
Identification of pathology-confirmed vulnerable atherosclerotic lesions by coronary computed tomography angiography using radiomics analysis.
Journal: European radiology
Published: May 29, 2021
Last Updated: 09/26/2026