Ana Lúısa Pinho

This study shows that multi-task fMRI better predicts brain functional organization than resting-state fMRI across diverse tasks and datasets.

SUITPy improves cerebellar imaging analysis by isolating the cerebellum with a U-Net model, enhancing alignment and reducing contamination from surrounding cortical structures.

The paper introduces the Network Correspondence Toolbox (NCT) to evaluate spatial correspondence between novel neuroimaging results and existing brain atlases, enabling standardized reporting and comparison across studies.

This paper introduces a hierarchical Bayesian framework that fuses task-based and resting-state neuro-imaging datasets to create a population-based atlas of the human cerebellum, achieving better individual parcellations with limited data.

This paper presents a hierarchical functional atlas of the human cerebellum integrating multiple datasets, improving individual precision mapping and enabling analysis at different levels of granularity.