Yunhua Li
Chengdu, China
Last Updated: 09/26/2026
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Found 11 publications
ASO Visual Abstract: CT-based Intratumoral Heterogeneity Score for Preoperative Prediction of Lymphovascular Invasion and Prognosis in Lung Adenocarcinoma: A Multicenter Validation and Radiogenomic Interpretation.
Journal: Annals of surgical oncology
Published: August 26, 2026
Decoding Intratumoral Heterogeneity in Breast Cancer: The Evolution From Radiomics to Topological Quantification for Predicting Lymphovascular Invasion.
Journal: Cancer control : journal of the Moffitt Cancer Center
Published: August 06, 2026
Time-to-Event Machine Learning Model Incorporating MRI-Derived Intratumoral Heterogeneity Score for Predicting Invasive Breast Cancer Recurrence: A Dual-Center Study.
Journal: Technology in cancer research & treatment
Published: July 27, 2026
Ensemble machine learning classifiers based on computed tomography radiomics for predicting spread through air spaces in lung adenocarcinoma: a multicenter retrospective cohort study with transcriptomic interpretation.
Journal: Quantitative imaging in medicine and surgery
Published: March 09, 2026
CT-based Intratumoral Heterogeneity Score for Preoperative Prediction of Lymphovascular Invasion and Prognosis in Lung Adenocarcinoma: A Multicenter Validation and Radiogenomic Interpretation.
Journal: Annals of surgical oncology
Published: February 17, 2026
Prior-Radiomics-Guided Multi-Scale Feature Extraction Network Utilizing Preoperative MRI: A Pioneering Approach for Lymphovascular Invasion Prediction in Invasive Breast Cancer.
Journal: Technology in cancer research & treatment
Published: November 10, 2025
KIF4A in disease pathogenesis and therapeutics: from molecular mechanisms to clinical translation.
Journal: Biology direct
Published: October 31, 2025
Intratumoral Heterogeneity Scores as Predictors of Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodules: Insights from Explainable Machine Learning-Based Ternary Classification Models.
Journal: Technology in cancer research & treatment
Published: August 12, 2025
MRI Delta-Radiomics and Morphological Feature-Driven TabPFN Model for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer.
Journal: Technology in cancer research & treatment
Published: July 23, 2025
Ensemble Machine Learning Classifiers Combining CT Radiomics and Clinical-Radiological Features for Preoperative Prediction of Pathological Invasiveness in Lung Adenocarcinoma Presenting as Part-Solid Nodules: A Multicenter Retrospective Study.
Journal: Technology in cancer research & treatment
Published: June 17, 2025
Prognostic significance of different lymph node staging systems in patients with resectable, node-positive, stage III, non-small cell lung cancer: Identifying the optimal classification for enhanced prognostic stratification.
Journal: Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Published: October 07, 2024
Showing 1-11 of 11
Last Updated: 09/26/2026