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A deep transfer learning model for early prediction of cognitive deficits using brain structural connectome data in very preterm infants

A Deep Transfer Learning Model for Liver Stiffness Classification using Clinical and T2-Weighted MRI Data

A Deep Transfer Learning Model to Predict Patient Outcome in ICH using the Fusion of Clinical and Fluid-Attenuated Inversion Recovery Imaging Data

Early prediction of neurodevelopmental deficits in very preterm infants using a multi-task deep transfer learning model

Improving tumor-tissue contrast by increasing spatial resolution

A machine learning model using T2-weighted FLAIR radiomics features to predict patient outcome in ICH