Catherine Limperopoulos

This paper uses a variational autoencoder to model non-linear fetal-neonatal brain development, improving age prediction and revealing functional brain networks.

This paper develops an automated pipeline for fetal brain MRI analysis, including extraction, super-resolution, and 4D atlasing, to map fetal brain development in a Chinese population.

This paper investigates estimating long memory parameters in fMRI time series corrupted by additive noises and linear combinations of long memory processes.

This study introduces a method for correcting motion artifacts in fetal fMRI by jointly addressing inter-slice and inter-volume motion through spatiotemporal interpolation.