We have 5 of 19 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A Geometric-to-Semantic Spherical Transfer Learning framework that outperforms fully supervised baselines trained from scratch on variable and tertiary sulci, confirming that learning the cortex shape is highly beneficial for identifying its rarest parts.
Champollion, a self-supervised learning framework that learns interpretable local representations of cortical folding from structural MRI, is introduced, establishing cortical folding as a rich and largely untapped source of neurodevelopmental information.
Self-supervised representations of cortical folding are established as a powerful phenotype for the genetic study of neurodevelopment through multivariate genome-wide association studies (GWAS).
It is found that variation in primate social systems and/or reproductive aging may influence sex and species differences in brain aging, and within the baboons but not the chimpanzees, significant sex differences were found in age‐related differences in cortical folding.
This work believes this is the first evidence demonstrating an association between these clinically relevant biomarkers of Alzheimer’s disease and phenotypes of brain aging in nonhuman primates, underscoring their importance as models of aging and neurodegenerative disease.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
