Haibo Liu

Xiangtan, China

Last Updated: 09/26/2026

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Found 16 publications

Predicting overall survival in synchronous metastatic nasopharyngeal carcinoma using a stacking ensemble machine learning model: a multicenter retrospective study.

Predicting overall survival in synchronous metastatic nasopharyngeal carcinoma using a stacking ensemble machine learning model: a multicenter retrospective study.

Journal: Frontiers in oncology

Published: April 27, 2026

A comparison of spheno-occipital synchondrosis fusion, hand-wrist maturation, and cervical vertebral maturation for assessing skeletal maturation in Chinese adolescents: A cross-sectional study.

A comparison of spheno-occipital synchondrosis fusion, hand-wrist maturation, and cervical vertebral maturation for assessing skeletal maturation in Chinese adolescents: A cross-sectional study.

Journal: International orthodontics

Published: December 10, 2025

MRI Delta-Radiomics and Morphological Feature-Driven TabPFN Model for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer.

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

CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A Multicenter, Large-Scale Study.

CT Radiomic Nomogram Using Optimal Volume of Interest for Preoperatively Predicting Invasive Mucinous Adenocarcinomas in Patients with Incidental Pulmonary Nodules: A Multicenter, Large-Scale Study.

Journal: Technology in cancer research & treatment

Published: December 20, 2024

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.

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

Use of CT-derived radiomic features to preoperatively identify invasive mucinous adenocarcinoma in solitary pulmonary nodules ≤3 cm.

Use of CT-derived radiomic features to preoperatively identify invasive mucinous adenocarcinoma in solitary pulmonary nodules ≤3 cm.

Journal: Heliyon

Published: February 02, 2024

Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma.

Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma.

Journal: BMC cancer

Published: January 30, 2024

Radiomics-based analysis of dynamic contrast-enhanced magnetic resonance image: A prediction nomogram for lymphovascular invasion in breast cancer.

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

Machine learning based on optimal VOI of multi-sequence MR images to predict lymphovascular invasion in invasive breast cancer.

Machine learning based on optimal VOI of multi-sequence MR images to predict lymphovascular invasion in invasive breast cancer.

Journal: Heliyon

Published: December 08, 2023

Peritumoral radiomics increases the efficiency of classification of pure ground-glass lung nodules: a multicenter study.

Peritumoral radiomics increases the efficiency of classification of pure ground-glass lung nodules: a multicenter study.

Journal: Journal of cardiothoracic surgery

Published: November 14, 2023

Leveraging multimodal MRI-based radiomics analysis with diverse machine learning models to evaluate lymphovascular invasion in clinically node-negative breast cancer.

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

Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a machine learning, cross-sectional, bicentric study.

Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a machine learning, cross-sectional, bicentric study.

Journal: Journal of cardiothoracic surgery

Published: June 20, 2023

Showing 1-12 of 16

Last Updated: 09/26/2026