Chenchu Xu

According to our database, Chenchu Xu authored at least 26 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.

Chenchu Xu, Yuhong Song, Dong Zhang, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li

Medical Image Anal., December, 2023

Accurate 3D contrast-free myocardial infarction delineation using a 4D dual-stream spatiotemporal feature learning framework.

Jinhao Liu, Xinglai Zhu, Chenchu Xu, Lei Xu, Zhifan Gao, Kemal Polat, Fayadh Alenezi

Appl. Soft Comput., October, 2023

Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.

Chenchu Xu, Yuan Yang, Zhiqiang Xia, Boyan Wang, Dong Zhang, Yanping Zhang, Shu Zhao

IEEE Trans. Big Data, August, 2023

Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs.

Dong Zhang, Chenchu Xu, Shuo Li

Expert Syst. Appl., July, 2023

Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules.

Boyan Wang, Xuegang Hu, Jinglin Zhang, Chenchu Xu, Zhifan Gao

IEEE Internet Things J., January, 2023

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.

Chenchu Xu, Yifei Wang, Dong Zhang, Longfei Han, Yanping Zhang, Jie Chen, Shuo Li

IEEE J. Biomed. Health Informatics, 2023

TransCC: Transformer Network for Coronary Artery CCTA Segmentation.

Chenchu Xu, Meng Li, Xue Wu

CoRR, 2023

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.

Baihong Xie, Xiujian Liu, Heye Zhang, Chenchu Xu, Tieyong Zeng, Yixuan Yuan, Guang Yang, Zhifan Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation.

Yuhui Song, Xiuquan Du, Yanping Zhang, Chenchu Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.

Rongjun Ge, Yuting He, Cong Xia, Chenchu Xu, Weiya Sun, Guanyu Yang, Junru Li, Zhihua Wang, Hailing Yu, Daoqiang Zhang, Yang Chen, Limin Luo, Shuo Li, Yinsu Zhu

Knowl. Based Syst., 2022

Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning.

Chenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Industrial Pervasive Edge Computing-Based Intelligence IoT for Surveillance Saliency Detection.

Jinglin Zhang, Chenchu Xu, Zhifan Gao, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque

IEEE Trans. Ind. Informatics, 2021

Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning.

Chenchu Xu, Dong Zhang, Jaron Chong, Bo Chen, Shuo Li

Medical Image Anal., 2021

Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.

Chenchu Xu, Zhifan Gao, Dong Zhang, Jinglin Zhang, Lei Xu, Shuo Li

IEEE Internet Things J., 2021

Video salient object detection using dual-stream spatiotemporal attention.

Chenchu Xu, Zhifan Gao, Heye Zhang, Shuo Li, Victor Hugo C. de Albuquerque

Appl. Soft Comput., 2021

2020

Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs.

Chenchu Xu, Lei Xu, Pavlo Ohorodnyk, Mike Roth, Bo Chen, Shuo Li

Medical Image Anal., 2020

Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning.

Chenchu Xu, Joanne Howey, Pavlo Ohorodnyk, Mike Roth, Heye Zhang, Shuo Li

Medical Image Anal., 2020

Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection.

Zhifan Gao, Chenchu Xu, Heye Zhang, Shuo Li, Victor Hugo C. de Albuquerque

IEEE Internet Things J., 2020

DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters.

Ruifeng Chen, Chenchu Xu, Zhangfu Dong, Yueguo Liu, Xiuquan Du

Comput. Methods Programs Biomed., 2020

2019

A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence.

Chenchu Xu, Lin Xu, Heye Zhang, Yanping Zhang, Xiuquan Du, Shuo Li

Computing, 2019

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.

Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning.

Rongjun Ge, Guanyu Yang, Chenchu Xu, Jiulou Zhang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle.

Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Jianwen Luo, Dhanjoo N. Ghista, Zhanghong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, Shuo Li

IEEE J. Biomed. Health Informatics, 2018

Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.

Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Huafeng Liu, Shuo Li

Medical Image Anal., 2018

MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning.

Chenchu Xu, Lei Xu, Gary Brahm, Heye Zhang, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.

Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017