Zhuojun Ju
Maebashi, Japan
Last Updated: 09/26/2026
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Found 9 publications
A delta-based multi-omics model to predict adaptive radiotherapy benefit in patients with non-small cell lung cancer during carbon-ion radiotherapy.
Journal: Physics in medicine and biology
Published: February 10, 2026
Integrating dose-volume histogram parameters and radiomics-based machine learning to identify carbon ion radiotherapy-induced acute oral mucositis in patients with head and neck cancer.
Journal: Physics and imaging in radiation oncology
Published: June 18, 2025
Dynamic assessment of long-term survival in survivors with stage III non-small cell lung cancer: a novel conditional survival model with a web-based calculator.
Journal: Frontiers in medicine
Published: September 04, 2024
Normal tissue complication probability model for acute oral mucositis in patients with head and neck cancer undergoing carbon ion radiation therapy based on dosimetry, radiomics, and dosiomics.
Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published: September 04, 2024
ASO Author Reflections: Refining Radiotherapy Decisions in T3N0M0 Breast Cancer: A Nomogram-Based Approach.
Journal: Annals of surgical oncology
Published: November 28, 2023
Log odds of positive lymph nodes (LODDS)-based novel nomogram for survival estimation in patients with invasive micropapillary carcinoma of the breast.
Journal: BMC medical research methodology
Published: November 07, 2023
Nomogram-Based Risk Stratification to Identify Patients with T3N0M0 Breast Cancer with Survival Benefit from Postmastectomy Radiotherapy.
Journal: Annals of surgical oncology
Published: October 04, 2023
Conditional survival nomogram predicting real-time prognosis of locally advanced breast cancer: Analysis of population-based cohort with external validation.
Journal: Frontiers in public health
Published: May 26, 2022
Showing 1-9 of 9
Last Updated: 09/26/2026