Chenchu Xu
Orcid: 0000-0002-8253-1686
According to our database1,
Chenchu Xu
authored at least 32 papers
between 2017 and 2025.
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Bibliography
2025
Hierarchical candidate recursive network for highlight restoration in endoscopic videos.
Expert Syst. Appl., 2025
2024
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images.
IEEE Trans. Medical Imaging, September, 2024
Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework.
Comput. Medical Imaging Graph., 2024
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.
Artif. Intell. Medicine, 2024
Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Cardiac Physiology Knowledge-Driven Diffusion Model for Contrast-Free Synthesis Myocardial Infarction Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.
Medical Image Anal., December, 2023
Accurate 3D contrast-free myocardial infarction delineation using a 4D dual-stream spatiotemporal feature learning framework.
Appl. Soft Comput., October, 2023
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Big Data, August, 2023
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs.
Expert Syst. Appl., July, 2023
Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules.
IEEE Internet Things J., January, 2023
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.
IEEE J. Biomed. Health Informatics, 2023
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
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.
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.
Knowl. Based Syst., 2022
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning.
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.
IEEE Trans. Ind. Informatics, 2021
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning.
Medical Image Anal., 2021
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.
IEEE Internet Things J., 2021
Appl. Soft Comput., 2021
2020
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs.
Medical Image Anal., 2020
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning.
Medical Image Anal., 2020
Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection.
IEEE Internet Things J., 2020
DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters.
Comput. Methods Programs Biomed., 2020
2019
A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence.
Computing, 2019
Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.
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.
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.
IEEE J. Biomed. Health Informatics, 2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018
MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017