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Fandong Zhang

Showing results (1-10 of 20) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|June 1, 2021
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass DetectionYuhang Liu, Fandong Zhang, Chaoqi Chen, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 17, 2021
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram ClassificationChuran Wang, Jing Li, Fandong Zhang, et al.
IEEE Transactions on Medical Imaging|September 16, 2022
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel SegmentationGangming Zhao, Kongming Liang, Chengwei Pan, et al.
Zhongguo Fei AI Za Zhi = Chinese Journal of Lung Cancer|June 15, 2019
[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT]Xinling Li, Fangfang Guo, Zhen Zhou, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 8, 2026
Development and validation of A CCTA-based risk prediction model for major adverse cardiovascular events in esophageal cancer patients receiving radiotherapyQian Xu, Hesong Shen, Liting Wen, et al.
Journal of Clinical Medicine|June 10, 2022
Prediction of Carotid In-Stent Restenosis by Computed Tomography Angiography Carotid Plaque-Based RadiomicsXiaoqing Cheng, Zheng Dong, Jia Liu, 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 mammographyFei Guo, Qiyang Li, Fei Gao, et al.
Frontiers in Neurology|January 28, 2025
A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation studyZhongping Guo, Ying Liu, Jingxu Xu, et al.
Cerebrovascular Diseases (Basel, Switzerland)|March 8, 2022
Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography AngiographyZheng Dong, ChangSheng Zhou, HongXia Li, et al.
Journal of Imaging Informatics in Medicine|February 14, 2025
Automated Grading of Vesicoureteral Reflux (VUR) Using a Dual-Stream CNN Model with Deep SupervisionGuangjie Chen, Lixian Su, Shuxin Wang, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 1, 2021
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass DetectionYuhang Liu, Fandong Zhang, Chaoqi Chen, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 17, 2021
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram ClassificationChuran Wang, Jing Li, Fandong Zhang, et al.
IEEE Transactions on Medical Imaging|September 16, 2022
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel SegmentationGangming Zhao, Kongming Liang, Chengwei Pan, et al.
Zhongguo Fei AI Za Zhi = Chinese Journal of Lung Cancer|June 15, 2019
[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT]Xinling Li, Fangfang Guo, Zhen Zhou, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 8, 2026
Development and validation of A CCTA-based risk prediction model for major adverse cardiovascular events in esophageal cancer patients receiving radiotherapyQian Xu, Hesong Shen, Liting Wen, et al.
Journal of Clinical Medicine|June 10, 2022
Prediction of Carotid In-Stent Restenosis by Computed Tomography Angiography Carotid Plaque-Based RadiomicsXiaoqing Cheng, Zheng Dong, Jia Liu, 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 mammographyFei Guo, Qiyang Li, Fei Gao, et al.
Frontiers in Neurology|January 28, 2025
A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation studyZhongping Guo, Ying Liu, Jingxu Xu, et al.
Cerebrovascular Diseases (Basel, Switzerland)|March 8, 2022
Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography AngiographyZheng Dong, ChangSheng Zhou, HongXia Li, et al.
Journal of Imaging Informatics in Medicine|February 14, 2025
Automated Grading of Vesicoureteral Reflux (VUR) Using a Dual-Stream CNN Model with Deep SupervisionGuangjie Chen, Lixian Su, Shuxin Wang, et al.
Pageof 2