Dr. Jun Xia, Shenzhen Second People’s Hospital, China.
Dr. Jun Xia, Chief Physician and Deputy Director of the Department of Medical Imaging at Shenzhen Second People’s Hospital, is a distinguished expert with over 30 years of experience in medical imaging. His work focuses on neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations. Dr. Xia has published 52 journal articles, including 39 SCI papers with a cumulative impact factor exceeding 100, and authored six books. He holds three patents and has led 15 research projects, including collaborations on pioneering AI-based diagnostic tools. His expertise is recognized globally through editorial appointments, conference presentations, and professional memberships.
profile
Scholar
🎓 Academic and Professional Background
Dr. Jun Xia, a Ph.D. holder and medical imaging expert, boasts 30+ years of experience in neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations. He has published 39 SCI papers with an impact factor exceeding 100, reviewed national research funds, and presented at top-tier conferences such as RSNA and ECR.
💡 Research and Innovations
Completed/Ongoing Research Projects: 15. Citation Index: Not specified. Consultancy/Industry Projects: Not specified.Books Published (ISBN): 6.ISBN: 9787117274296, 9787117235983, 9787535767066, 9787535767080, 9787523513552, 9787117331340.Patents Published/Under Process: 3.Journals Published (SCI, Scopus, etc.): 52
Representative Papers:
European Radiology (2024): Feasibility of CT-based synthetic brain T1-weighted MRI.Information Fusion (2022): Explainable AI via multi-modal and multi-centre data fusion.European Radiology (2022): MRI neuroimaging for prognosis in hydrocephalus patients post-shunt surgery.Neural Computing & Applications (2022): AI-based e-Diagnosis for ventricular volume measurement.Quantitative Imaging in Medicine and Surgery (2022): MRI synthesis from CT using CNNs with contextual loss.
🌐 Professional Memberships
Member, Head and Neck Committee, Radiology Branch, Chinese Medical Association.Member, Neuroregeneration and Repair Professional Committee, Chinese Research Hospital AssociationMember, Magnetic Resonance Application Professional Committee, China Medical EquipmentAssociation.Member, Neurology Group, Radiology Branch, Guangdong Medical AssociationMember, Radiology Branch, Shenzhen Medical Association
🏆 Contributions
Dr. Jun Xia has made exceptional contributions in medical imaging, excelling in advanced diagnostic techniques for CNS, musculoskeletal, and abdominal diseases. His expertise in neuroimaging and AI-assisted diagnostics has led to groundbreaking solutions in patient care. With numerous impactful publications and clinical innovations, he continues to advance the field of medical imaging.
📚 Publications
- Artificial intelligence distinguishes COVID-19 from community-acquired pneumonia on chest CT
Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
Year: 2020
- Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
Year: 2020
- Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Authors: G Yang, Q Ye, J Xia
Year: 2022
- Weakly supervised deep learning for COVID-19 infection detection and classification from CT images
Authors: S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, …
Year: 2020
- Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
Authors: H Ye, F Gao, Y Yin, D Guo, P Zhao, Y Lu, X Wang, J Bai, K Cao, Q Song, …
Year: 2019
- A single-center, retrospective study of COVID-19 features in children: a descriptive investigation
Authors: H Ma, J Hu, J Tian, X Zhou, H Li, MT Laws, LD Wesemann, B Zhu, …
Year: 2020
- Swin transformer for fast MRI
Authors: J Huang, Y Fang, Y Wu, H Wu, Z Gao, Y Li, J Del Ser, J Xia, G Yang
Year: 2022
- Explainable AI for COVID-19 CT classifiers: an initial comparison study
Authors: Q Ye, J Xia, G Yang
Year: 2021
- Radiomics nomogram building from multiparametric MRI to predict grade in patients with glioma: a cohort study
Authors: Q Wang, Q Li, R Mi, H Ye, H Zhang, B Chen, Y Li, G Huang, J Xia
Year: 2019
- Learning tree-structured representation for 3D coronary artery segmentation
Authors: B Kong, X Wang, J Bai, Y Lu, F Gao, K Cao, J Xia, Q Song, Y Yin
Year: 2020