Emily Laltoo

Structural brain alterations in autism: A voxel-based morphometry mega-analysis in 3,051 participants across 51 sites

This paper identifies widespread gray and white matter volume differences in autism using a large voxel-based morphometry analysis of 3,051 participants.

Parameter Efficient Fine-tuning of Transformer-based Masked Autoencoder Enhances Resource Constrained Neuroimage Analysis

This study evaluates parameter-efficient fine-tuning methods for vision transformers in neuroimaging, showing they outperform full fine-tuning and training from scratch with fewer parameters.

Microstructural Mapping of Neural Pathways in Alzheimer's Disease using Macrostructure-Informed Normative Tractometry

This study introduces MINT, a framework that jointly models white matter microstructure and macrostructure to better detect anomalies in MCI and dementia, showing improved sensitivity compared to traditional diffusion metrics.

Comparison of Explainable AI Models for MRI-based Alzheimer's Disease Classification

This study compares explainable AI models for Alzheimer's disease classification using MRI scans, evaluating interpretability methods and generalization across different populations.

Counterfactual MRI Generation with Denoising Diffusion Models for Interpretable Alzheimer's Disease Effect Detection

The paper uses diffusion models to generate synthetic MRI scans for Alzheimer's disease effect detection, improving classifier performance with limited real data.

Sex Differences in the Brain's White Matter Microstructure during Development assessed using Advanced Diffusion MRI Models

The paper assesses sex differences in white matter microstructure during development using diffusion MRI models and finds the TDF model is most sensitive in detecting these differences.

Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease

This paper introduces DNT, a variational autoencoder framework for detecting white matter abnormalities in Alzheimer's disease using macro- and microstructural data.

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts

This paper evaluates CNN models for brain age prediction and dementia classification using diffusion MRI, showing improved performance after dataset harmonization across Indian and North American cohorts.

Along-Tract Statistical Mapping of Microstructural Abnormalities in Bipolar Disorder: A Pilot Study

This study uses diffusion MRI and BUAN to map microstructural differences in white matter tracts between bipolar disorder patients and controls, finding altered Fractional Anisotropy in specific pathways.

Comparison of Anatomical and Diffusion MRI for detecting Parkinson's Disease using Deep Convolutional Neural Network

This study compares anatomical and diffusion MRI for Parkinson's disease detection using deep convolutional neural networks, finding that dMRI-based models show promise for classification.

White matter microstructure shows sex differences in late childhood: Evidence from 6,797 children

The paper examines sex differences in white matter microstructure in children using DTI and RSI metrics, finding significant and replicable differences across brain regions.

Age and Sex Effects on Advanced White Matter Microstructure Measures in 15,628 Older Adults: A UK Biobank Study

This study examines age and sex effects on white matter microstructure in 15,628 older adults using dMRI models, finding that advanced models like TDF and NODDI detect these effects most sensitively.