Zhongxiang Ding
According to our database1,
Zhongxiang Ding
authored at least 33 papers
between 2015 and 2025.
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Bibliography
2025
IEEE Trans. Medical Imaging, January, 2025
Segmentation of infarct lesions and prognosis prediction for acute ischemic stroke using non-contrast CT scans.
Comput. Methods Programs Biomed., 2025
2024
Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images.
IEEE Trans. Medical Imaging, December, 2024
Altered trends of local brain function in classical trigeminal neuralgia patients after a single trigger pain.
BMC Medical Imaging, December, 2024
Application research on the diagnosis of classic trigeminal neuralgia based on VB-Net technology and radiomics.
BMC Medical Imaging, December, 2024
Unraveling the influences of hemodynamic lag and intrinsic cerebrovascular reactivity on functional metrics in ischemic stroke.
NeuroImage, 2024
Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT.
Medical Image Anal., 2024
Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation.
CoRR, 2024
Construction of unbiased dental template and parametric dental model for precision digital dentistry.
Biomed. Signal Process. Control., 2024
Brain Connect., 2024
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2024
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023
Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning.
CoRR, 2023
Construction of unbiased dental template and parametric dental model for precision digital dentistry.
CoRR, 2023
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
IEEE Trans. Medical Imaging, 2022
A diagnosis model in nasopharyngeal carcinoma based on PET/MRI radiomics and semiquantitative parameters.
BMC Medical Imaging, 2022
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021
Medical Image Anal., 2021
2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
2018
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018
2017
Proceedings of the Wireless Sensor Networks, 2017
2016
PreSurgMapp: a MATLAB Toolbox for Presurgical Mapping of Eloquent Functional Areas Based on Task-Related and Resting-State Functional MRI.
Neuroinformatics, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015