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Chenchu Xu

Showing results (1-10 of 23) with videos related to

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Computer Methods and Programs in Biomedicine|January 6, 2020
DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parametersRuifeng Chen, Chenchu Xu, Zhangfu Dong, et al.
Medical Image Analysis|February 3, 2021
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learningChenchu Xu, Dong Zhang, Jaron Chong, et al.
IEEE Transactions on Medical Imaging|April 1, 2024
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical ImagesChenchu Xu, Tong Zhang, Dong Zhang, et al.
IEEE Transactions on Medical Imaging|June 17, 2026
Myocardial Temporal-Mechanical Self-Supervision Model for Contrast-Free Myocardial Infarction Segmentation with Label-Free TrainingChenchu Xu, Run Wang, Ronghui Qi, et al.
Medical Image Analysis|October 18, 2019
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learningChenchu Xu, Joanne Howey, Pavlo Ohorodnyk, et al.
Medical Image Analysis|April 11, 2020
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANsChenchu Xu, Lei Xu, Pavlo Ohorodnyk, et al.
Medical Image Analysis|October 11, 2023
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agentsChenchu Xu, Yuhong Song, Dong Zhang, et al.
Medical Image Analysis|July 11, 2025
Knowledge-driven interpretative conditional diffusion model for contrast-free myocardial infarction enhancement synthesisRonghui Qi, Min Tao, Chenchu Xu, et al.
Artificial Intelligence in Medicine|June 22, 2025
Interactive prototype learning and self-learning for few-shot medical image segmentationYuhui Song, Chenchu Xu, Boyan Wang, et al.
Medical & Biological Engineering & Computing|March 5, 2025
OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopyChenchu Xu, Yu Chen, Jie Liu, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Computer Methods and Programs in Biomedicine|January 6, 2020
DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parametersRuifeng Chen, Chenchu Xu, Zhangfu Dong, et al.
Medical Image Analysis|February 3, 2021
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learningChenchu Xu, Dong Zhang, Jaron Chong, et al.
IEEE Transactions on Medical Imaging|April 1, 2024
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical ImagesChenchu Xu, Tong Zhang, Dong Zhang, et al.
IEEE Transactions on Medical Imaging|June 17, 2026
Myocardial Temporal-Mechanical Self-Supervision Model for Contrast-Free Myocardial Infarction Segmentation with Label-Free TrainingChenchu Xu, Run Wang, Ronghui Qi, et al.
Medical Image Analysis|October 18, 2019
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learningChenchu Xu, Joanne Howey, Pavlo Ohorodnyk, et al.
Medical Image Analysis|April 11, 2020
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANsChenchu Xu, Lei Xu, Pavlo Ohorodnyk, et al.
Medical Image Analysis|October 11, 2023
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agentsChenchu Xu, Yuhong Song, Dong Zhang, et al.
Medical Image Analysis|July 11, 2025
Knowledge-driven interpretative conditional diffusion model for contrast-free myocardial infarction enhancement synthesisRonghui Qi, Min Tao, Chenchu Xu, et al.
Artificial Intelligence in Medicine|June 22, 2025
Interactive prototype learning and self-learning for few-shot medical image segmentationYuhui Song, Chenchu Xu, Boyan Wang, et al.
Medical & Biological Engineering & Computing|March 5, 2025
OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopyChenchu Xu, Yu Chen, Jie Liu, et al.
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