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European Journal of Radiology
|
December 3, 2024
Radiomics-based nomogram for predicting total knee replacement in knee osteoarthritis patients
Hongbiao Sun, Yi You, Qinling Jiang, et al.
Journal of Translational Medicine
|
September 1, 2024
CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment
Gongzheng Wang, Feier Ding, Kaige Chen, et al.
Annals of Translational Medicine
|
March 4, 2022
Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas
Xiaona Xia, Qingguo Ren, Jiufa Cui, et al.
AJR. American Journal of Roentgenology
|
September 14, 2022
Nomogram Using CT Radiomics Features for Differentiation of Pneumonia-Type Invasive Mucinous Adenocarcinoma and Pneumonia: Multicenter Development and External Validation Study
Xinxin Yu, Shuai Zhang, Jingxu Xu, et al.
Eclinicalmedicine
|
November 10, 2025
Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool
Guijun Jiang, Shengnan Sun, Qingyuan Wang, et al.
Frontiers in Oncology
|
August 28, 2020
Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation
Yi Jiang, Wuchao Li, Chencui Huang, et al.
Frontiers in Oncology
|
June 18, 2020
A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma
Yi Jiang, Wuchao Li, Chencui Huang, et al.
Frontiers in Oncology
|
November 8, 2021
A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features
Ning Li, Yan Mo, Chencui Huang, et al.
Academic Radiology
|
June 14, 2025
Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI
Pahati Tuxunjiang, Chencui Huang, Zhen Zhou, et al.
Frontiers in Pediatrics
|
March 14, 2022
Artificial Intelligence-Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience
Xi Wang, Bo Zhou, Ping Gong, et al.
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Search research articles
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Showing results (91-100 of 106) with videos related to
Sort By:
Page
of 11
European Journal of Radiology
|
December 3, 2024
Radiomics-based nomogram for predicting total knee replacement in knee osteoarthritis patients
Hongbiao Sun, Yi You, Qinling Jiang, et al.
Journal of Translational Medicine
|
September 1, 2024
CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment
Gongzheng Wang, Feier Ding, Kaige Chen, et al.
Annals of Translational Medicine
|
March 4, 2022
Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas
Xiaona Xia, Qingguo Ren, Jiufa Cui, et al.
AJR. American Journal of Roentgenology
|
September 14, 2022
Nomogram Using CT Radiomics Features for Differentiation of Pneumonia-Type Invasive Mucinous Adenocarcinoma and Pneumonia: Multicenter Development and External Validation Study
Xinxin Yu, Shuai Zhang, Jingxu Xu, et al.
Eclinicalmedicine
|
November 10, 2025
Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool
Guijun Jiang, Shengnan Sun, Qingyuan Wang, et al.
Frontiers in Oncology
|
August 28, 2020
Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation
Yi Jiang, Wuchao Li, Chencui Huang, et al.
Frontiers in Oncology
|
June 18, 2020
A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma
Yi Jiang, Wuchao Li, Chencui Huang, et al.
Frontiers in Oncology
|
November 8, 2021
A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features
Ning Li, Yan Mo, Chencui Huang, et al.
Academic Radiology
|
June 14, 2025
Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI
Pahati Tuxunjiang, Chencui Huang, Zhen Zhou, et al.
Frontiers in Pediatrics
|
March 14, 2022
Artificial Intelligence-Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience
Xi Wang, Bo Zhou, Ping Gong, et al.
Page
of 11