Yingjie Xv

Chongqing, China

Last Updated: 09/26/2026

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Found 21 publications

Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter study.

Radiomics-based interpretable machine learning model from multiphasic CT imaging for predicting pathological grade in upper tract urothelial carcinoma: a multicenter study.

Journal: Frontiers in oncology

Published: April 01, 2026

A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional study.

A perioperative multi-modal fusion and deep learning-based prognostic system for upper tract urothelial carcinoma: a multi-institutional study.

Journal: Insights into imaging

Published: March 10, 2026

Machine learning-based integration of systemic immune-inflammation and nutritional signatures for predicting disease-free survival in upper tract urothelial carcinoma: a multicenter study.

Machine learning-based integration of systemic immune-inflammation and nutritional signatures for predicting disease-free survival in upper tract urothelial carcinoma: a multicenter study.

Journal: Frontiers in immunology

Published: December 03, 2025

An interpretable machine learning model based on CT imaging for predicting lymphovascular invasion and survival in bladder urothelial carcinoma: a multicenter study.

An interpretable machine learning model based on CT imaging for predicting lymphovascular invasion and survival in bladder urothelial carcinoma: a multicenter study.

Journal: BMC medical imaging

Published: September 19, 2025

Interpretable Machine Learning Radiomics Model Predicts 5-year Recurrence-Free Survival in Non-metastatic Clear Cell Renal Cell Carcinoma: A Multicenter and Retrospective Cohort Study.

Interpretable Machine Learning Radiomics Model Predicts 5-year Recurrence-Free Survival in Non-metastatic Clear Cell Renal Cell Carcinoma: A Multicenter and Retrospective Cohort Study.

Journal: Academic radiology

Published: February 12, 2025

Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Journal: Academic radiology

Published: November 08, 2024

Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images.

Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images.

Journal: Insights into imaging

Published: November 04, 2024

A stacking ensemble system for identifying the presence of histological variants in bladder carcinoma: a multicenter study.

A stacking ensemble system for identifying the presence of histological variants in bladder carcinoma: a multicenter study.

Journal: Frontiers in oncology

Published: July 23, 2024

A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study.

A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study.

Journal: Insights into imaging

Published: June 03, 2024

Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort study.

Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort study.

Journal: International journal of surgery (London, England)

Published: February 28, 2024

Multiparameter computed tomography (CT) radiomics signature fusion-based model for the preoperative prediction of clear cell renal cell carcinoma nuclear grade: a multicenter development and external validation study.

Multiparameter computed tomography (CT) radiomics signature fusion-based model for the preoperative prediction of clear cell renal cell carcinoma nuclear grade: a multicenter development and external validation study.

Journal: Quantitative imaging in medicine and surgery

Published: January 07, 2024

Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.

Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.

Journal: Heliyon

Published: December 21, 2023

Showing 1-12 of 21

Last Updated: 09/26/2026