Xiuqi Yang
Xiangtan, China
Last Updated: 09/26/2026
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Found 8 publications
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
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
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
Radiomics-based analysis of dynamic contrast-enhanced magnetic resonance image: A prediction nomogram for lymphovascular invasion in breast cancer.
Journal: Magnetic resonance imaging
Published: January 28, 2024
Leveraging multimodal MRI-based radiomics analysis with diverse machine learning models to evaluate lymphovascular invasion in clinically node-negative breast cancer.
Journal: Heliyon
Published: September 27, 2023
Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.
Journal: Journal of magnetic resonance imaging : JMRI
Published: June 17, 2023
Multiparametric magnetic resonance imaging-derived deep learning network to determine ferroptosis-related gene signatures in gliomas.
Journal: Frontiers in neuroscience
Published: October 28, 2022
Showing 1-8 of 8
Last Updated: 09/26/2026