Yongbin Cui
No. 440 Jiyan Road, Huaiyin District
Jinan, 250117, China
Jinan, 250117, China
Last Updated: 09/26/2026
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Found 12 publications
Prediction of tumor regression grading in rectal cancer neoadjuvant chemoradiotherapy: a habitat radiomics analysis of imaging biomarker.
Journal: BMC medical imaging
Published: October 27, 2025
Research progress of radiation esophagitis: A narrative review.
Journal: Medicine
Published: May 12, 2025
18F-NOTA-FAPI-04 PET/CT metabolic parameters combined with hematological biomarkers predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma.
Journal: European journal of nuclear medicine and molecular imaging
Published: March 16, 2025
Feasibility study for proton dose calculation of esophageal squamous cell carcinoma based on stopping power ratio directly derived from dual energy CT.
Journal: Frontiers in oncology
Published: March 10, 2025
Dual energy CT-derived quantitative parameters and hematological characteristics predict pathological complete response in neoadjuvant chemoradiotherapy esophageal squamous cell carcinoma patients.
Journal: BMC gastroenterology
Published: October 31, 2024
Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients.
Journal: BMC gastroenterology
Published: October 30, 2024
CT-based radiomics-deep learning model predicts occult lymph node metastasis in early-stage lung adenocarcinoma patients: A multicenter study.
Journal: Chinese journal of cancer research = Chung-kuo yen cheng yen chiu
Published: September 17, 2024
Tumor habitat-derived radiomics features in pretreatment CT scans for predicting concurrent chemoradiotherapy responses in nasopharyngeal carcinoma: a retrospective study.
Journal: Quantitative imaging in medicine and surgery
Published: August 09, 2024
Development and validation of a 18F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study.
Journal: BMC cancer
Published: October 24, 2023
Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures.
Journal: Radiation oncology (London, England)
Published: August 15, 2022
Dosimetric analysis and biological evaluation between proton radiotherapy and photon radiotherapy for the long target of total esophageal squamous cell carcinoma.
Journal: Frontiers in oncology
Published: May 27, 2022
Showing 1-12 of 12
Last Updated: 09/26/2026