Multi-View Imputation and Cross-Attention Network for Alzheimer's Disease Prediction

Multi-View Imputation and Cross-Attention Network was trainded on incomplete longitudinal and multi-modal data, but only required single-modal or multi-modal data at baseline visit when testing or using.

Package including:

torch 1.7.1
scikit-learn 0.24.0
SimpleITK 2.0.2
nibabel 3.2.1
argparse 1.4.0

More details will be posted when the paper is accepted.