Eleftherios Garyfallidis

This paper introduces an asymmetry-aware tractometry framework to quantify left-right hemispheric asymmetries in white matter tracts and applies it to Alzheimer's Disease data to differentiate cognitive states.

BundleWarp improves white matter tractometry by aligning tracts while preserving anatomical features, enhancing sensitivity to disease-related changes in conditions like Alzheimer's and Parkinson's.

This study uses BUAN tractometry to assess how amyloid positivity affects white matter tracts in Alzheimer's disease, revealing localized microstructural changes associated with amyloid pathology.

This study uses diffusion MRI and tractometry to analyze how amyloid, tau, and APOE genetic variants affect white matter microstructure in Alzheimer's disease.

This paper applies data harmonization techniques to 3D diffusion MRI tractometry to improve reliability and comparability across multiple scanning protocols.

This paper uses a ConvVAE to reduce the dimensionality of white matter tractography data, identifies 6 tracts with significant differences between Alzheimer's patients and controls, and preserves distances in a 6-dimensional space.

The paper identifies anatomical pathways between the ACC, insula, and vlPFC in humans using NHP data to address dMRI limitations.

FiberNeat filters false positive and implausible streamlines from tractograms using unsupervised methods, improving tract quality and tractometry.

This paper introduces Patch2Self (P2S), a self-supervised denoising method for diffusion MRI, and its optimized version P2S-sketch, which improves speed and memory usage without sacrificing denoising quality.

This study evaluates the reliability of dMRI-based tractometry by assessing reproducibility, test-retest reliability, and robustness using software and datasets from the Human Connectome Project and clinical-grade measurements.

This paper implements Diffusional Kurtosis Imaging (DKI) in the DIPY project, demonstrating its utility for microstructural analysis and tractography in brain imaging.

MVD-Fuse integrates diffusion MRI models to detect white matter degeneration, showing improved classification of pre-HD and healthy controls with MKL fusion.

The paper presents a population-based white matter atlas derived from diffusion MRI fiber tractography, including 216 bundles from 2443 subjects.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

This study evaluates DWI-derived scalar images for T1-DWI co-registration, finding that anisotropic power (AP) images provide the most consistent and reliable registration across modalities.

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

This paper provides an open-source implementation of a two-compartment free water elimination model for diffusion tensor imaging and evaluates its performance using simulations.