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Frontiers in Oncology
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April 12, 2021
Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma
Wei Li, Xiao-Zhou Lv, Xin Zheng, et al.
Frontiers in Oncology
|
October 14, 2021
RGB Three-Channel SWE-Based Ultrasomics Model: Improving the Efficiency in Differentiating Focal Liver Lesions
Mei-Qing Cheng, Meng-Fei Xian, Wen-Shuo Tian, et al.
European Radiology
|
July 17, 2023
US LI-RADS in surveillance for recurrent hepatocellular carcinoma after curative treatment
Hui Huang, Mei-Qing Cheng, Dan-Ni He, et al.
NPJ Digital Medicine
|
December 19, 2025
An AI-powered tongue image model for home-based monitoring of liver fibrosis
Xiao-Zhou Lu, Shuai Liu, Xin-Xin Lin, et al.
Life Sciences
|
July 11, 2018
Multiparametric radiomics improve prediction of lymph node metastasis of rectal cancer compared with conventional radiomics
Li-Da Chen, Jin-Yu Liang, Hui Wu, et al.
La Radiologia Medica
|
March 24, 2025
The role of contrast-enhanced ultrasound in the radiological classification of liver observations identified by CT and MRI
Hui Huang, Dan-Ni He, Rui-Fang Lu, et al.
BMC Cancer
|
May 27, 2020
CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer
Kai-Yu Sun, Hang-Tong Hu, Shu-Ling Chen, et al.
European Radiology
|
September 5, 2018
Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis
Wei Li, Yang Huang, Bo-Wen Zhuang, et al.
Nature Communications
|
October 24, 2025
Addressing data heterogeneity in distributed medical imaging with heterosync learning
Hang-Tong Hu, Ming-De Li, Xin-Xin Lin, et al.
Frontiers in Robotics and AI
|
February 20, 2025
Autonomous robotic ultrasound scanning system: a key to enhancing image analysis reproducibility and observer consistency in ultrasound imaging
Xin-Xin Lin, Ming-De Li, Si-Min Ruan, et al.
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of 13
Search research articles
Search
Showing results (111-120 of 126) with videos related to
Sort By:
Page
of 13
Frontiers in Oncology
|
April 12, 2021
Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma
Wei Li, Xiao-Zhou Lv, Xin Zheng, et al.
Frontiers in Oncology
|
October 14, 2021
RGB Three-Channel SWE-Based Ultrasomics Model: Improving the Efficiency in Differentiating Focal Liver Lesions
Mei-Qing Cheng, Meng-Fei Xian, Wen-Shuo Tian, et al.
European Radiology
|
July 17, 2023
US LI-RADS in surveillance for recurrent hepatocellular carcinoma after curative treatment
Hui Huang, Mei-Qing Cheng, Dan-Ni He, et al.
NPJ Digital Medicine
|
December 19, 2025
An AI-powered tongue image model for home-based monitoring of liver fibrosis
Xiao-Zhou Lu, Shuai Liu, Xin-Xin Lin, et al.
Life Sciences
|
July 11, 2018
Multiparametric radiomics improve prediction of lymph node metastasis of rectal cancer compared with conventional radiomics
Li-Da Chen, Jin-Yu Liang, Hui Wu, et al.
La Radiologia Medica
|
March 24, 2025
The role of contrast-enhanced ultrasound in the radiological classification of liver observations identified by CT and MRI
Hui Huang, Dan-Ni He, Rui-Fang Lu, et al.
BMC Cancer
|
May 27, 2020
CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer
Kai-Yu Sun, Hang-Tong Hu, Shu-Ling Chen, et al.
European Radiology
|
September 5, 2018
Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis
Wei Li, Yang Huang, Bo-Wen Zhuang, et al.
Nature Communications
|
October 24, 2025
Addressing data heterogeneity in distributed medical imaging with heterosync learning
Hang-Tong Hu, Ming-De Li, Xin-Xin Lin, et al.
Frontiers in Robotics and AI
|
February 20, 2025
Autonomous robotic ultrasound scanning system: a key to enhancing image analysis reproducibility and observer consistency in ultrasound imaging
Xin-Xin Lin, Ming-De Li, Si-Min Ruan, et al.
Page
of 13