Ali Gholipour

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

This paper develops a multi-task deep learning method to segment and parcellate fetal brain structures from diffusion MRI, achieving high accuracy in tissue segmentation, tract segmentation, and parcellation.

Domain shifts in infant brain diffusion MRI: Quantification and mitigation for fODF estimation

This study evaluates deep learning models for fODF estimation in infant brain MRI, finding that U-Net performs best with fewer gradient directions, while MLP and Transformer improve with more directions.

Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain

This study develops a mechanical model to simulate the spatiotemporal evolution of sulcal pits in fetal brains, showing their stability and role in linking prenatal and postnatal brain characteristics.

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

White matter tract crossing and bottleneck regions in the fetal brain

This study quantifies crossing tracts and bottleneck regions in fetal brain white matter using diffusion MRI, finding high prevalence of both features compared to adult brains.

A detailed spatio-temporal atlas of the white matter tracts for the fetal brain

This study constructs a spatiotemporal atlas of fetal white matter tracts using dMRI, revealing developmental patterns of FA and MD across gestational weeks 22-37.

Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study

This study uses deep learning to estimate fiber orientation distribution functions (FODs) from limited diffusion MRI data in newborns and fetuses, achieving results comparable to standard methods with fewer measurements.

Heterogeneous migration of neuronal progenitors to the insula shapes the human brain

The paper shows that the insula develops through curved migration of progenitor cells due to obstruction by lenticular nuclei, challenging existing radial migration models.

Insights from the IronTract challenge: optimal methods for mapping brain pathways from multi-shell diffusion MRI

The paper evaluates tractography methods using a macaque dataset to determine optimal approaches for mapping brain pathways from multi-shell diffusion MRI.

Brain charts for the human lifespan

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.