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Hongxian Gu

Showing results (1-10 of 5) with videos related to

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Magnetic Resonance Imaging|October 23, 2021
How does the pancreatic solid pseudopapillary neoplasm confuse us: Analyzing from the point view of MRI-based radiomics?Hongxian Gu, Hong Liang, Jianguo Zhong, et al.
Cancer Management and Research|June 11, 2026
Assessing Invasiveness of Ground-Glass Nodules Using Ternary-Class CT Radiomics Models: A Multi-Center Study with SHAP ExplanationsPingshan Zhao, Haoran Chen, Hongxian Gu, et al.
Academic Radiology|February 8, 2022
Development of Deep Learning-based Automatic Scan Range Setting Model for Lung Cancer Screening Low-dose CT ImagingJingru Ruan, Yu Meng, Fanfan Zhao, et al.
Frontiers in Neuroinformatics|September 6, 2024
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatmentHongxian Gu, Yuting Yan, Xiaodong He, et al.
Quantitative Imaging in Medicine and Surgery|March 12, 2026
Super-resolution and habitat radiomics based computed tomography machine-learning model for prediction of lung invasive adenocarcinoma: a multi-centre studyYanqing Ma, Pingshan Zhao, Haoran Chen, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Magnetic Resonance Imaging|October 23, 2021
How does the pancreatic solid pseudopapillary neoplasm confuse us: Analyzing from the point view of MRI-based radiomics?Hongxian Gu, Hong Liang, Jianguo Zhong, et al.
Cancer Management and Research|June 11, 2026
Assessing Invasiveness of Ground-Glass Nodules Using Ternary-Class CT Radiomics Models: A Multi-Center Study with SHAP ExplanationsPingshan Zhao, Haoran Chen, Hongxian Gu, et al.
Academic Radiology|February 8, 2022
Development of Deep Learning-based Automatic Scan Range Setting Model for Lung Cancer Screening Low-dose CT ImagingJingru Ruan, Yu Meng, Fanfan Zhao, et al.
Frontiers in Neuroinformatics|September 6, 2024
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatmentHongxian Gu, Yuting Yan, Xiaodong He, et al.
Quantitative Imaging in Medicine and Surgery|March 12, 2026
Super-resolution and habitat radiomics based computed tomography machine-learning model for prediction of lung invasive adenocarcinoma: a multi-centre studyYanqing Ma, Pingshan Zhao, Haoran Chen, et al.
Pageof 1