Liu, Mingxia

Hierarchical fully convolutional network for joint atrophy localization and Alzheimer’s disease diagnosis using structural MRI

Lian, C., Liu, M., Zhang, J., & Shen, D. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques

Cited by 544

Federated learning for medical image analysis: A survey

Guan, H., Yap, P.-T., Bozoki, A., & Liu, M. (2024) · Pattern Recognition

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 518

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

Zhang, J., Liu, M., & Shen, D. (2017) · IEEE Transactions on Image Processing

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 192

Label-aligned multi-task feature learning for multimodal classification of alzheimer’s disease and mild cognitive impairment

Initiative, T. A. D. N., Zu, C., Jie, B., Liu, M., Chen, S., Shen, D., & Zhang, D. (2016) · Brain Imaging and Behavior

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 95

Source-Free Unsupervised Domain Adaptation: A Survey

Fang, Y., Yap, P.-T., Lin, W., Zhu, H., & Liu, M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 15

The prevalence of obesity and relationship between obesity indicators and chronic diseases in Northern Shaanxi, China

Yang, X., Hao, X., Liu, M., Hu, Y., Wang, X., & Liu, Y. (2024) · Endokrynologia Polska

Obesity, Physical Activity, DietDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 5