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Academic Radiology
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February 4, 2019
Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis
Meng Liang, Zhengting Cai, Hongmei Zhang, et al.
Japanese Journal of Radiology
|
June 8, 2021
An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images
Mudan Zhang, Siwei Yu, Xuntao Yin, et al.
Annals of Clinical Microbiology and Antimicrobials
|
November 19, 2022
A Facile machine learning multi-classification model for Streptococcus agalactiae clonal complexes
Jingxian Liu, Jing Zhao, Chencui Huang, et al.
Abdominal Radiology (New York)
|
October 14, 2021
A combined postoperative nomogram for survival prediction in clear cell renal carcinoma
Ying Ming, Xinyi Chen, Jingxu Xu, et al.
Frontiers in Oncology
|
May 22, 2023
Are radiomic spleen features useful for assessing the differentiation status of advanced gastric cancer?
Dongbo Lyu, Pan Liang, Chencui Huang, et al.
European Radiology
|
August 27, 2021
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study
Shunli Liu, Weikai Sun, Shifeng Yang, et al.
Frontiers in Oncology
|
December 8, 2022
Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography
Fei Guo, Qiyang Li, Fei Gao, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 19, 2021
Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study
Ruixin Yan, Dapeng Hao, Jie Li, et al.
European Journal of Radiology
|
December 11, 2024
A nomogram incorporating CT-based peri-hematoma radiomics features to predict functional outcome in patients with intracerebral hemorrhage
Xiaona Xia, Jieqiong Liu, Jiufa Cui, et al.
Gerontology
|
November 11, 2024
Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model
Jujia Li, Ping Zhang, Jingxu Xu, et al.
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of 11
Search research articles
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Showing results (41-50 of 106) with videos related to
Sort By:
Page
of 11
Academic Radiology
|
February 4, 2019
Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis
Meng Liang, Zhengting Cai, Hongmei Zhang, et al.
Japanese Journal of Radiology
|
June 8, 2021
An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images
Mudan Zhang, Siwei Yu, Xuntao Yin, et al.
Annals of Clinical Microbiology and Antimicrobials
|
November 19, 2022
A Facile machine learning multi-classification model for Streptococcus agalactiae clonal complexes
Jingxian Liu, Jing Zhao, Chencui Huang, et al.
Abdominal Radiology (New York)
|
October 14, 2021
A combined postoperative nomogram for survival prediction in clear cell renal carcinoma
Ying Ming, Xinyi Chen, Jingxu Xu, et al.
Frontiers in Oncology
|
May 22, 2023
Are radiomic spleen features useful for assessing the differentiation status of advanced gastric cancer?
Dongbo Lyu, Pan Liang, Chencui Huang, et al.
European Radiology
|
August 27, 2021
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study
Shunli Liu, Weikai Sun, Shifeng Yang, et al.
Frontiers in Oncology
|
December 8, 2022
Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography
Fei Guo, Qiyang Li, Fei Gao, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 19, 2021
Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study
Ruixin Yan, Dapeng Hao, Jie Li, et al.
European Journal of Radiology
|
December 11, 2024
A nomogram incorporating CT-based peri-hematoma radiomics features to predict functional outcome in patients with intracerebral hemorrhage
Xiaona Xia, Jieqiong Liu, Jiufa Cui, et al.
Gerontology
|
November 11, 2024
Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model
Jujia Li, Ping Zhang, Jingxu Xu, et al.
Page
of 11