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Jingxu Xu

Showing results (1-10 of 47) with videos related to

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Heliyon|May 9, 2024
Multiparametric MRI-based radiomic nomogram for predicting HER-2 2+ status of breast cancerHaili Wang, Li Sang, Jingxu Xu, et al.
Frontiers in Oncology|March 8, 2021
Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate CancerMou Li, Ling Yang, Yufeng Yue, et al.
Journal of Cancer Research and Therapeutics|April 6, 2022
A computed tomography-based clinical-radiomics model for prediction of lymph node metastasis in esophageal carcinomaXu Li, Qingwei Liu, Beini Hu, et al.
Journal of Imaging Informatics in Medicine|February 9, 2024
Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence AssistanceLili Guo, Changsheng Zhou, Jingxu Xu, et al.
Abdominal Radiology (New York)|July 21, 2024
Baseline hepatobiliary MRI for predicting chemotherapeutic response and prognosis in initially unresectable colorectal cancer liver metastasesYazheng Chen, Tao Lu, Yongchang Zhang, et al.
Frontiers in Neurology|July 4, 2024
A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiographySha Luo, Li Wen, Yang Jing, et al.
Frontiers in Endocrinology|April 13, 2023
Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomographyJianlun Zhang, Feng Liu, Jingxu Xu, et al.
Frontiers in Oncology|March 19, 2021
A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate LesionsLei Liang, Xin Zhi, Ya Sun, et al.
Journal of Shoulder and Elbow Surgery|June 12, 2023
Glenoid segmentation from computed tomography scans based on a 2-stage deep learning model for glenoid bone loss evaluationQingqing Zhao, Quanlong Feng, Jianlun Zhang, et al.
Frontiers in Oncology|April 21, 2022
A Potential Prognostic Marker for Recognizing VEGF-Positive Hepatocellular Carcinoma Based on Magnetic Resonance Radiomics SignatureTingting Fan, Shijie Li, Kai Li, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Heliyon|May 9, 2024
Multiparametric MRI-based radiomic nomogram for predicting HER-2 2+ status of breast cancerHaili Wang, Li Sang, Jingxu Xu, et al.
Frontiers in Oncology|March 8, 2021
Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate CancerMou Li, Ling Yang, Yufeng Yue, et al.
Journal of Cancer Research and Therapeutics|April 6, 2022
A computed tomography-based clinical-radiomics model for prediction of lymph node metastasis in esophageal carcinomaXu Li, Qingwei Liu, Beini Hu, et al.
Journal of Imaging Informatics in Medicine|February 9, 2024
Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence AssistanceLili Guo, Changsheng Zhou, Jingxu Xu, et al.
Abdominal Radiology (New York)|July 21, 2024
Baseline hepatobiliary MRI for predicting chemotherapeutic response and prognosis in initially unresectable colorectal cancer liver metastasesYazheng Chen, Tao Lu, Yongchang Zhang, et al.
Frontiers in Neurology|July 4, 2024
A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiographySha Luo, Li Wen, Yang Jing, et al.
Frontiers in Endocrinology|April 13, 2023
Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomographyJianlun Zhang, Feng Liu, Jingxu Xu, et al.
Frontiers in Oncology|March 19, 2021
A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate LesionsLei Liang, Xin Zhi, Ya Sun, et al.
Journal of Shoulder and Elbow Surgery|June 12, 2023
Glenoid segmentation from computed tomography scans based on a 2-stage deep learning model for glenoid bone loss evaluationQingqing Zhao, Quanlong Feng, Jianlun Zhang, et al.
Frontiers in Oncology|April 21, 2022
A Potential Prognostic Marker for Recognizing VEGF-Positive Hepatocellular Carcinoma Based on Magnetic Resonance Radiomics SignatureTingting Fan, Shijie Li, Kai Li, et al.
Pageof 5