Fernanda Lenita Ribeiro

This paper introduces a deep learning tool to predict functional topography of the human visual cortex from anatomy, demonstrating its utility across diverse conditions and large-scale datasets.

VesselBoost is a Python tool for segmenting small blood vessels in human MRA data using deep learning and data augmentation to overcome labeling challenges.

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

This study shows significant individual variability in visual field maps of human V2 and V3, challenging the canonical model of their symmetric organization.

This paper develops a geometric deep learning model to predict retinotopic organization in human visual cortex from anatomical data, showing improved individual variation prediction.

The paper estimates the heritability of functional brain networks using a multivariate ACE model and twin data, finding genetic influences on specific networks.