Tingdan Hu
Shanghai, China
Last Updated: 09/26/2026
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Found 14 publications
Impact of MRI risk assessment on the survival benefits of neoadjuvant chemoradiotherapy in patients with stage II-III rectal cancer: A retrospective cohort study.
Journal: European journal of radiology
Published: July 14, 2024
Prognostic prediction value of the clinical-radiomics tumour-stroma ratio in locally advanced rectal cancer.
Journal: European journal of radiology
Published: August 29, 2023
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: August 01, 2023
Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis.
Journal: Quantitative imaging in medicine and surgery
Published: May 19, 2023
Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients.
Journal: Journal of hematology & oncology
Published: December 01, 2021
Three-Dimensional CT Texture Analysis to Differentiate Colorectal Signet-Ring Cell Carcinoma and Adenocarcinoma.
Journal: Cancer management and research
Published: October 06, 2019
CT Morphological Features Integrated With Whole-Lesion Histogram Parameters to Predict Lung Metastasis for Colorectal Cancer Patients With Pulmonary Nodules.
Journal: Frontiers in oncology
Published: July 07, 2019
MR texture analysis: potential imaging biomarker for predicting the chemotherapeutic response of patients with colorectal liver metastases.
Journal: Abdominal radiology (New York)
Published: July 04, 2018
Last Updated: 09/26/2026