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Journal of X-Ray Science and Technology
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June 23, 2020
Differentiating pneumonia with and without COVID-19 using chest CT images: from qualitative to quantitative
Zicong Li, Bingliang Zeng, Pinggui Lei, et al.
European Journal of Radiology
|
November 18, 2024
Assessment and integration of multiparametric MRI for liver fibrosis staging in rat non-alcoholic steatohepatitis: Evaluation of diagnostic efficiency and model interpretation
Zhaoshu Huang, Xing Xia, Yao Liang, et al.
Medicine
|
March 3, 2021
Retroperitoneal dendritic cell sarcoma: A case report
Chuanhong Wang, Pinggui Lei, Yong Wan, et al.
Journal of X-Ray Science and Technology
|
June 10, 2026
Development and evaluation of deep learning models for automatic coronary stenosis segmentation in X-ray angiography
Manli Zhang, Fangyan Li, Haijun Guo, et al.
Academic Radiology
|
May 19, 2020
Value of MRI Radiomics Based on Enhanced T1WI Images in Prediction of Meningiomas Grade
Hairui Chu, Xiaoqi Lin, Jian He, et al.
Academic Radiology
|
June 27, 2025
MRI-Based Radiomic Biomarkers for Non-invasive Assessment of Liver Fibrosis in MASLD: Diagnostic Performance and Molecular Mechanisms in a Rat Model
Fangyan Li, Yao Liang, Xing Xia, et al.
Scientific Reports
|
August 30, 2024
A combination model of CT-based radiomics and clinical biomarkers for staging liver fibrosis in the patients with chronic liver disease
Maowen Tang, Yuhui Wu, Na Hu, et al.
Journal of X-Ray Science and Technology
|
July 1, 2019
NAFLD evaluation: Which is more appropriate, multislice computed tomography or ultrasound real-time shear wave elastography?
Pinggui Lei, Jun Jiao, Hong Li, et al.
Abdominal Radiology (New York)
|
June 4, 2026
Differentiating advanced from non-advanced hepatic fibrosis: a hybrid deep learning-radiomics model leveraging synthetic contrast-enhanced CT from CycleGAN
Jian He, Yue Pan, Menghua Yang, et al.
European Radiology Experimental
|
November 20, 2023
CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease
Na Hu, Gang Yan, Maowen Tang, et al.
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of 6
Search research articles
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Showing results (31-40 of 57) with videos related to
Sort By:
Page
of 6
Journal of X-Ray Science and Technology
|
June 23, 2020
Differentiating pneumonia with and without COVID-19 using chest CT images: from qualitative to quantitative
Zicong Li, Bingliang Zeng, Pinggui Lei, et al.
European Journal of Radiology
|
November 18, 2024
Assessment and integration of multiparametric MRI for liver fibrosis staging in rat non-alcoholic steatohepatitis: Evaluation of diagnostic efficiency and model interpretation
Zhaoshu Huang, Xing Xia, Yao Liang, et al.
Medicine
|
March 3, 2021
Retroperitoneal dendritic cell sarcoma: A case report
Chuanhong Wang, Pinggui Lei, Yong Wan, et al.
Journal of X-Ray Science and Technology
|
June 10, 2026
Development and evaluation of deep learning models for automatic coronary stenosis segmentation in X-ray angiography
Manli Zhang, Fangyan Li, Haijun Guo, et al.
Academic Radiology
|
May 19, 2020
Value of MRI Radiomics Based on Enhanced T1WI Images in Prediction of Meningiomas Grade
Hairui Chu, Xiaoqi Lin, Jian He, et al.
Academic Radiology
|
June 27, 2025
MRI-Based Radiomic Biomarkers for Non-invasive Assessment of Liver Fibrosis in MASLD: Diagnostic Performance and Molecular Mechanisms in a Rat Model
Fangyan Li, Yao Liang, Xing Xia, et al.
Scientific Reports
|
August 30, 2024
A combination model of CT-based radiomics and clinical biomarkers for staging liver fibrosis in the patients with chronic liver disease
Maowen Tang, Yuhui Wu, Na Hu, et al.
Journal of X-Ray Science and Technology
|
July 1, 2019
NAFLD evaluation: Which is more appropriate, multislice computed tomography or ultrasound real-time shear wave elastography?
Pinggui Lei, Jun Jiao, Hong Li, et al.
Abdominal Radiology (New York)
|
June 4, 2026
Differentiating advanced from non-advanced hepatic fibrosis: a hybrid deep learning-radiomics model leveraging synthetic contrast-enhanced CT from CycleGAN
Jian He, Yue Pan, Menghua Yang, et al.
European Radiology Experimental
|
November 20, 2023
CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease
Na Hu, Gang Yan, Maowen Tang, et al.
Page
of 6