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Weidao Chen

Showing results (11-20 of 24) with videos related to

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Abdominal Radiology (New York)|July 14, 2024
Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinomaLi Liu, Wenfei Zhang, Yudong Wang, et al.
La Radiologia Medica|September 25, 2023
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinomaYoulan Shang, Weidao Chen, Ge Li, et al.
Biomedical Engineering Online|December 20, 2023
A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patientsXiaoshuang Ru, Shilong Zhao, Weidao Chen, et al.
Frontiers in Artificial Intelligence|July 2, 2024
A deep learning algorithm to identify carotid plaques and assess their stabilityLan He, Zekun Yang, Yudong Wang, et al.
European Journal of Radiology|February 7, 2024
Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning modelXiaojuan He, Yang Xu, Chaoyang Zhou, et al.
Frontiers in Endocrinology|June 3, 2022
Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort StudyYuedong Zhao, Xinyu Li, Shen Li, et al.
Insights Into Imaging|December 5, 2022
Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter studyWeidao Chen, Jiangfen Wu, Ren Wei, et al.
European Journal of Radiology|June 4, 2024
HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhageZhiming Zhou, Weidao Chen, Ruize Yu, et al.
European Radiology|July 1, 2023
Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center studyYang Xu, Chaoyang Zhou, Xiaojuan He, et al.
Cancer Medicine|September 29, 2023
An MRI-based machine learning radiomics can predict short-term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter studyZhonghong Xin, Wanying Yan, Yibo Feng, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Abdominal Radiology (New York)|July 14, 2024
Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinomaLi Liu, Wenfei Zhang, Yudong Wang, et al.
La Radiologia Medica|September 25, 2023
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinomaYoulan Shang, Weidao Chen, Ge Li, et al.
Biomedical Engineering Online|December 20, 2023
A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intravenous thrombolysis in acute ischaemic stroke patientsXiaoshuang Ru, Shilong Zhao, Weidao Chen, et al.
Frontiers in Artificial Intelligence|July 2, 2024
A deep learning algorithm to identify carotid plaques and assess their stabilityLan He, Zekun Yang, Yudong Wang, et al.
European Journal of Radiology|February 7, 2024
Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning modelXiaojuan He, Yang Xu, Chaoyang Zhou, et al.
Frontiers in Endocrinology|June 3, 2022
Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort StudyYuedong Zhao, Xinyu Li, Shen Li, et al.
Insights Into Imaging|December 5, 2022
Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter studyWeidao Chen, Jiangfen Wu, Ren Wei, et al.
European Journal of Radiology|June 4, 2024
HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhageZhiming Zhou, Weidao Chen, Ruize Yu, et al.
European Radiology|July 1, 2023
Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center studyYang Xu, Chaoyang Zhou, Xiaojuan He, et al.
Cancer Medicine|September 29, 2023
An MRI-based machine learning radiomics can predict short-term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter studyZhonghong Xin, Wanying Yan, Yibo Feng, et al.
Pageof 3