Yuwei Zhang
Tianjin, China
Last Updated: 09/26/2026
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Found 12 publications
CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer.
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: June 01, 2025
Endothelial FUNDC1 Deficiency Drives Pulmonary Hypertension.
Journal: Circulation research
Published: December 10, 2024
Research on Assistant Diagnosis of Fundus Optic Neuropathy Based on Deep Learning.
Journal: Current eye research
Published: October 20, 2022
Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
Journal: European radiology
Published: October 04, 2022
Development and validation of a screening model for lung cancer using machine learning: A large-scale, multi-center study of biomarkers in breath.
Journal: Frontiers in oncology
Published: June 22, 2022
Parameter tuning in machine learning based on radiomics biomarkers of lung cancer.
Journal: Journal of X-ray science and technology
Published: March 28, 2022
CT-Based Peritumoral and Intratumoral Radiomics as Pretreatment Predictors of Atypical Responses to Immune Checkpoint Inhibitor Across Tumor Types: A Preliminary Multicenter Study.
Journal: Frontiers in oncology
Published: June 23, 2021
A Combined-Radiomics Approach of CT Images to Predict Response to Anti-PD-1 Immunotherapy in NSCLC: A Retrospective Multicenter Study.
Journal: Frontiers in oncology
Published: March 31, 2021
Radiomic analysis of pulmonary ground-glass opacity nodules for distinction of preinvasive lesions, invasive pulmonary adenocarcinoma and minimally invasive adenocarcinoma based on quantitative texture analysis of CT.
Journal: Chinese journal of cancer research = Chung-kuo yen cheng yen chiu
Published: September 14, 2018
Showing 1-12 of 12
Last Updated: 09/26/2026