Pengxin Yu
Beijing, China
Last Updated: 09/26/2026
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Found 19 publications
Interpretable machine learning model integrating delta-radiomics enhances postoperative recurrence prediction in early-stage lung adenocarcinoma.
Journal: Journal of thoracic disease
Published: March 25, 2026
Improvement of machine learning models for predicting high-grade subtypes of lung adenocarcinoma based on delta radiomics: A multicenter cohort study.
Journal: European journal of radiology open
Published: August 22, 2025
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
Journal: Medical image analysis
Published: March 13, 2024
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Journal: Medical image analysis
Published: December 20, 2023
Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis.
Journal: Journal of thoracic imaging
Published: September 21, 2023
Assessment of lung deformation in patients with idiopathic pulmonary fibrosis with elastic registration technique on pulmonary three-dimensional ultrashort echo time MRI.
Journal: Insights into imaging
Published: July 04, 2023
Coronary computed tomography angiography analysis using artificial intelligence for stenosis quantification and stent segmentation: a multicenter study.
Journal: Quantitative imaging in medicine and surgery
Published: April 03, 2023
Multi-site, Multi-domain Airway Tree Modeling.
Journal: Medical image analysis
Published: March 27, 2023
Energy spectrum CT index-based machine learning model predicts the effect of intravenous thrombolysis in lower limbs.
Journal: Journal of applied clinical medical physics
Published: January 13, 2023
Last Updated: 09/26/2026