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Zhuangxuan Ma

Showing results (1-10 of 13) with videos related to

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BMC Cancer|October 1, 2025
Automated machine learning for prostate cancer detection and Gleason score prediction using T2WI: a diagnostic multi-center studyLiang Jin, Zhuangxuan Ma, Feng Gao, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|January 16, 2025
Automatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radiomics modelSiyun Lin, Zhuangxuan Ma, Yuanshan Yao, et al.
Abdominal Radiology (New York)|November 21, 2024
Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomographyNan Yang, Zhuangxuan Ma, Ling Zhang, et al.
Insights Into Imaging|December 10, 2023
Determining rib fracture age from CT scans with a radiomics-based combined model: a multicenter retrospective studyYilin Tang, Liang Jin, Wenbin Ji, et al.
Biology|March 29, 2023
Diagnosis of Acute Aortic Syndromes on Non-Contrast CT Images with Radiomics-Based Machine LearningZhuangxuan Ma, Liang Jin, Lukai Zhang, et al.
La Radiologia Medica|August 21, 2025
Chest CT imaging for differentiating normal, PRISm, and COPD in comparison with pulmonary function testsZongjing Ma, Yingli Sun, Zhuangxuan Ma, et al.
Frontiers in Oncology|February 23, 2023
Gadoxetic acid-enhanced MRI with a focus on LI-RADS v2018 imaging features predicts the prognosis after radiofrequency ablation in small hepatocellular carcinomaRuizhi Wang, Hengtian Xu, Wufei Chen, et al.
Bioengineering (Basel, Switzerland)|October 25, 2024
Correction: Jin et al. Interobserver Agreement in Automatic Segmentation Annotation of Prostate Magnetic Resonance Imaging. <i>Bioengineering</i> 2023, <i>10</i>, 1340Liang Jin, Zhuangxuan Ma, Haiqing Li, et al.
Frontiers in Oncology|December 5, 2022
A delta-radiomics model for preoperative prediction of invasive lung adenocarcinomas manifesting as radiological part-solid nodulesWufei Chen, Ruizhi Wang, Zhuangxuan Ma, et al.
Bioengineering (Basel, Switzerland)|December 23, 2023
Interobserver Agreement in Automatic Segmentation Annotation of Prostate Magnetic Resonance ImagingLiang Jin, Zhuangxuan Ma, Haiqing Li, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
BMC Cancer|October 1, 2025
Automated machine learning for prostate cancer detection and Gleason score prediction using T2WI: a diagnostic multi-center studyLiang Jin, Zhuangxuan Ma, Feng Gao, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|January 16, 2025
Automatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radiomics modelSiyun Lin, Zhuangxuan Ma, Yuanshan Yao, et al.
Abdominal Radiology (New York)|November 21, 2024
Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomographyNan Yang, Zhuangxuan Ma, Ling Zhang, et al.
Insights Into Imaging|December 10, 2023
Determining rib fracture age from CT scans with a radiomics-based combined model: a multicenter retrospective studyYilin Tang, Liang Jin, Wenbin Ji, et al.
Biology|March 29, 2023
Diagnosis of Acute Aortic Syndromes on Non-Contrast CT Images with Radiomics-Based Machine LearningZhuangxuan Ma, Liang Jin, Lukai Zhang, et al.
La Radiologia Medica|August 21, 2025
Chest CT imaging for differentiating normal, PRISm, and COPD in comparison with pulmonary function testsZongjing Ma, Yingli Sun, Zhuangxuan Ma, et al.
Frontiers in Oncology|February 23, 2023
Gadoxetic acid-enhanced MRI with a focus on LI-RADS v2018 imaging features predicts the prognosis after radiofrequency ablation in small hepatocellular carcinomaRuizhi Wang, Hengtian Xu, Wufei Chen, et al.
Bioengineering (Basel, Switzerland)|October 25, 2024
Correction: Jin et al. Interobserver Agreement in Automatic Segmentation Annotation of Prostate Magnetic Resonance Imaging. <i>Bioengineering</i> 2023, <i>10</i>, 1340Liang Jin, Zhuangxuan Ma, Haiqing Li, et al.
Frontiers in Oncology|December 5, 2022
A delta-radiomics model for preoperative prediction of invasive lung adenocarcinomas manifesting as radiological part-solid nodulesWufei Chen, Ruizhi Wang, Zhuangxuan Ma, et al.
Bioengineering (Basel, Switzerland)|December 23, 2023
Interobserver Agreement in Automatic Segmentation Annotation of Prostate Magnetic Resonance ImagingLiang Jin, Zhuangxuan Ma, Haiqing Li, et al.
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