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Chencui Huang

Showing results (81-90 of 106) with videos related to

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Neuroimage. Clinical|March 17, 2023
Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networksXiaona Xia, Xiaoqian Zhang, Jiufa Cui, et al.
European Radiology|October 25, 2022
Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter studyZhi Li, Jing Zhang, Qi Zhong, et al.
Academic Radiology|February 3, 2023
Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning ModelJinglu Wang, Jie Sun, Jingxu Xu, et al.
Academic Radiology|November 22, 2023
Development of a Clinicopathological-Radiomics Model for Predicting Progression and Recurrence in Meningioma PatientsMengna He, Xiaolan Wang, Chencui Huang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 16, 2021
Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning frameworkLi Wang, Wenlong Ding, Yan Mo, et al.
European Journal of Radiology|July 7, 2022
Development and assessment of deep learning system for the location and classification of rib fractures via computed tomographyChuanhong Yang, Jia Wang, Jingxu Xu, et al.
Academic Radiology|August 2, 2024
Enhancing Outcome Prediction in Intracerebral Hemorrhage Through Deep Learning: A Retrospective Multicenter StudyDan Wang, Jing Zhang, Hao Dong, et al.
European Radiology|March 29, 2022
A multi-stage ensemble network system to diagnose adolescent idiopathic scoliosisChao Wu, Gedong Meng, Jie Lian, et al.
Academic Radiology|March 20, 2024
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center StudyYasen Yimit, Parhat Yasin, Abudouresuli Tuersun, et al.
Translational Lung Cancer Research|April 15, 2026
A radiomics nomogram integrated with radiological features for preoperative prediction of lung nodule invasiveness: comparison with Lung-RADSSiwei Miao, Zhaojie Han, Fei Wang, et al.
Pageof 11

Showing results (81-90 of 106) with videos related to

Sort By:
Pageof 11
Neuroimage. Clinical|March 17, 2023
Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networksXiaona Xia, Xiaoqian Zhang, Jiufa Cui, et al.
European Radiology|October 25, 2022
Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter studyZhi Li, Jing Zhang, Qi Zhong, et al.
Academic Radiology|February 3, 2023
Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning ModelJinglu Wang, Jie Sun, Jingxu Xu, et al.
Academic Radiology|November 22, 2023
Development of a Clinicopathological-Radiomics Model for Predicting Progression and Recurrence in Meningioma PatientsMengna He, Xiaolan Wang, Chencui Huang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 16, 2021
Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning frameworkLi Wang, Wenlong Ding, Yan Mo, et al.
European Journal of Radiology|July 7, 2022
Development and assessment of deep learning system for the location and classification of rib fractures via computed tomographyChuanhong Yang, Jia Wang, Jingxu Xu, et al.
Academic Radiology|August 2, 2024
Enhancing Outcome Prediction in Intracerebral Hemorrhage Through Deep Learning: A Retrospective Multicenter StudyDan Wang, Jing Zhang, Hao Dong, et al.
European Radiology|March 29, 2022
A multi-stage ensemble network system to diagnose adolescent idiopathic scoliosisChao Wu, Gedong Meng, Jie Lian, et al.
Academic Radiology|March 20, 2024
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center StudyYasen Yimit, Parhat Yasin, Abudouresuli Tuersun, et al.
Translational Lung Cancer Research|April 15, 2026
A radiomics nomogram integrated with radiological features for preoperative prediction of lung nodule invasiveness: comparison with Lung-RADSSiwei Miao, Zhaojie Han, Fei Wang, et al.
Pageof 11