Evren Özarslan

This study investigates cognitive symptoms in post-COVID-19 condition with fatigue, finding subtle neurobiological changes not captured by standard assessments.

This paper develops a deep learning method to enhance the spatial resolution of diffusion MRI data, achieving better results than spline interpolation on Human Connectome Project data.

The paper compares methods for computing orientationally-averaged diffusion-weighted MRI signals, finding that MAP-MRI provides better accuracy under low SNR and sparse sampling.

This paper quantifies uncertainty in MAP-MRI derived metrics using residual bootstrap methods, showing that resampling within each shell generates larger uncertainty than using all shells.