Maciej Malawski

This study evaluates how retraining deep learning models affects the statistical consistency of diffusion tensor imaging parameters in bipolar disorder, showing significant variability across models.

This study compares how different levels of anatomical detail in venous models affect haemodynamic risk metrics using statistical shape modelling and CFD.

The paper validates ten federated learning strategies for synthesizing multi-contrast MRI data from heterogeneous sources, finding that FedBAdam outperforms other methods in accuracy and stability.