Scholar
Dongang Wang
Google Scholar ID: Rs7zEZoAAAAJ
University of Sydney
Citations & Impact
Citations
1,070
H-index
9
i10-index
9
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 'npj Digital Medicine' (2023), on real-world clinical validation for AI-based MRI monitoring in multiple sclerosis; 'Frontiers in Neuroscience' (2023), on learning from pseudo-labels for longitudinal brain volume estimation.
Research Experience
- Joined the Brain and Mind Centre at the University of Sydney in 2019 as a postdoctoral researcher. Participated in CRC-P and MRFF project research, developing and clinically validating analysis software such as VeriScout and iQ-solutions. Addressed challenges such as limited annotations and data heterogeneity within federated learning frameworks across multiple medical centers.
Education
- PhD: 2024, Faculty of Medicine and Health, University of Sydney, specializing in Neuroimaging Analysis; MSc: 2015, Master of Science in Electrical Engineering from Columbia University; BEng: Not provided.
Background
- Research interests: Integrating cutting-edge artificial intelligence (AI) algorithms into clinical workflows to enhance the analysis of medical images, with a particular emphasis on neuroimaging modalities like CT and MRI scans. Professional field: Brain injuries, Clinical neurology, Multiple sclerosis, Neuroimaging, Artificial Intelligence. Biography: Dongang Wang is a researcher at the Brain and Mind Centre of the University of Sydney, focusing on using deep learning algorithms to solve complex problems in clinical environments.
Miscellany
- Personal interests and hobbies not provided.
Co-authors