Juan Eugenio Iglesias

This paper improves racial fairness in brain age models by using synthetic T1 images generated via style-transfer, reducing disparities without requiring race as an input.

The paper identifies a hypothalamic-brainstem activity sequence that drives arousal fluctuations and cortical hemodynamics during drowsiness using fMRI.

This study evaluates image registration accuracy in portable low-field 3D brain MRI, finding that synthesis-based methods perform best despite acquisition artifacts.

The paper introduces a fast segmentation tool for brain MRI scans using a hybrid method, achieving comparable accuracy to a Bayesian approach but with significantly reduced runtime.

The paper examines how functional connectivity between thalamic nuclei and cortical/subcortical networks changes during learning in humans, identifying shifts associated with transitioning from controlled to habitual behavior.

The paper develops a deep learning-based method to segment micro-vessels from CBV MRI images of AD mice, revealing region-specific vascular density changes in degenerated brains.

The paper introduces Path2MR, a pipeline for 3D histology reconstruction without MRI, revealing distinct tau and amyloid-beta pathology gradients along the hippocampal axis in Alzheimer's Disease.

The paper introduces NextBrain, a probabilistic histological atlas of the human brain, and presents a tool for automated MRI segmentation of anatomical regions.

The paper develops open-source tools for 3D analysis of brain dissection photographs and surface scans, achieving accurate reconstructions and segmentations comparable to MRI.

This paper introduces a semi-supervised segmentation model for identifying supragranular and infragranular layers in human cerebral cortex MRI scans with high precision.

The paper maps brainstem connections sustaining wakefulness using ex vivo diffusion MRI, immunohistochemistry, and in vivo 7 Tesla functional MRI.

This study shows hippocampal sclerosis of aging (HS) causes detectable hippocampal volume changes on MRI more than a decade before death, independent of age and Alzheimer's Disease burden.

This paper introduces a Bayesian segmentation algorithm for thalamic nuclei using diffusion MRI and an improved histological atlas, showing improved accuracy in identifying nuclei and detecting Alzheimer's disease involvement.

The paper develops a histological staging system for hippocampal sclerosis (HS) and shows its correlation with disease duration, cognitive performance, and MRI findings.

The paper develops an imaging pipeline to create a cell census of the human cerebral cortex using MRI, immunohistochemistry, and light-sheet fluorescence microscopy.

This study quantifies volumetric morphometry and optical properties of human cerebellar cortex at micrometer resolution using as-PSOCT, revealing layer-specific variations and cross-subject variability.

This paper compares two whole-brain segmentation methods, ASEG and SAMSEG, in FreeSurfer, finding SAMSEG provides more reliable and sensitive measurements for detecting longitudinal changes and Alzheimer's disease-related atrophy.

This paper introduces a computational pipeline to reconstruct 3D histology of the human brain using MRI and blockface photography to overcome tissue sectioning distortions.

This study identifies hippocampal subfield volume differences in PTSD and depression across 31 cohorts, finding depression has a stronger effect than PTSD, especially in CA1, with comorbid cases showing more pronounced changes.

This study finds smaller left hippocampal CA1 volume in PTSD patients compared to trauma-exposed controls, with associations dependent on covariates.