Jun Xia
Orcid: 0000-0002-5689-0343Affiliations:
- Shenzhen University, First Affiliated Hospital of Shenzhen University, Department of Radiology, Shenzhen, China
According to our database1,
Jun Xia
authored at least 17 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Customized T-time inner sampling network with uncertainty-aware data augmentation strategy for multi-annotated lesion segmentation.
Comput. Biol. Medicine, 2024
2023
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.
IEEE J. Biomed. Health Informatics, October, 2023
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus.
Neural Comput. Appl., August, 2023
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning.
IEEE Trans. Artif. Intell., April, 2023
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health.
IEEE Internet Things J., 2023
2022
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond.
Inf. Fusion, 2022
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus.
CoRR, 2022
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.
Appl. Soft Comput., 2022
Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information.
Appl. Intell., 2022
2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels.
Neurocomputing, 2020
Comput. Medical Imaging Graph., 2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images.
IEEE Access, 2020
Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2018
IEEE Access, 2018