Dominika Ciupek

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.

The paper introduces a densely sampled longitudinal diffusion MRI dataset for validating dMRI techniques and assessing reproducibility.

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.