|Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis|
W Kang, L Lin, B Zhang, X Shen, S Wu, ...
Computers in Biology and Medicine 136, 104678, 2021
|Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults|
M Xiong, L Lin, Y Jin, W Kang, S Wu, S Sun
Sensors 23 (7), 3622, 2023
|Quantifying Brain and Cognitive Maintenance as Key Indicators for Sustainable Cognitive Aging: Insights from the UK Biobank|
L Lin, M Xiong, Y Jin, W Kang, S Wu, S Sun, Z Fu
Sustainability 15 (12), 9620, 2023
|A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification|
L Lin, M Xiong, G Zhang, W Kang, S Sun, S Wu, ...
Sensors 23 (4), 1914, 2023
|A review of neuroimaging-based data-driven approach for Alzheimer’s disease heterogeneity analysis|
L Liu, S Sun, W Kang, S Wu, L Lin
Reviews in the Neurosciences, 2023
|A 3D Multi-Scale Multi-Attention UNet for Automatic Hippocampal Segmentation|
L Lin, W Kang, Y Wu, Y Zhao, S Wang, D Lin, J Gao
2021 7th Annual International Conference on Network and Information Systems …, 2021
|An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease|
W Kang, B Li, JM Papma, LC Jiskoot, PPD Deyn, GJ Biessels, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
|Three-round learning strategy based on 3D deep convolutional GANs for Alzheimer’s disease staging|
W Kang, L Lin, S Sun, S Wu
Scientific Reports 13 (1), 5750, 2023