Mingxia Liu

Mingxia Liu, PhD, is an Assistant Professor in the Department of Radiology at the University of North Carolina School of Medicine and Co-Director of Radiological Sciences Faculty Development. She specializes in advancing machine learning technologies for automated brain disease analysis, particularly using MRI/PET modalities. Her work focuses on clinical applications of neuroimaging analysis, including Alzheimer’s disease, MCI, and autism. Dr. Liu leads the UNC Imaging Analysis Group and has developed groundbreaking frameworks for disease diagnosis and prognosis.

Dr. Liu holds a PhD from Nanjing University of Aeronautics & Astronautics and completed a postdoctoral fellowship at UNC. Her research integrates computational methods with clinical neuroimaging, emphasizing multimodal data fusion and domain adaptation techniques to address challenges in heterogeneous datasets.

Her research interests include:

• Machine learning for brain disorder classification
• Functional connectivity analysis using fMRI
• Domain adaptation in medical imaging
• Federated learning for multisite studies
• AI-driven clinical decision support systems

Her recent publications highlight advancements in self-supervised learning, graph neural networks, and hybrid multimodal frameworks, with applications to cognitive decline prediction and neurodegenerative disease modeling. These innovations aim to improve early diagnosis and personalized treatment strategies.

Dr. Liu has been recognized with prestigious awards including the MICCAI Young Scientist Award (Honorable Mention) and multiple doctoral dissertation honors. Her work bridges cutting-edge AI techniques with translational neuroimaging research, fostering interdisciplinary collaboration in healthcare technology.