Habib Ganjgahi

ComCat: Combating Covariate Effects in Brain Analysis

ComCat improves brain analysis by reducing unwanted variability from heterogeneous datasets, outperforming existing methods in brain age prediction across multiple datasets.

MIDFA: Scalable Bayesian Factor Analysis for Mixed and Incomplete Data

The paper introduces a scalable Bayesian factor analysis framework for handling mixed and incomplete data, demonstrating its effectiveness on MS datasets.

BARTharm: MRI Harmonization Using Image Quality Metrics and Bayesian Non-parametric

BARTharm improves MRI data harmonization by using image quality metrics and Bayesian non-parametric models, outperforming ComBat in removing scanner-induced bias while preserving biological signals.

The genetic architecture of changes in adiposity during adulthood

This study identifies six novel genetic loci associated with BMI change over adulthood using UK Biobank health records, finding lower heritability for BMI change compared to baseline BMI.

A scalable approach for continuous time Markov models with covariates

The paper introduces a scalable method for fitting continuous time Markov models with covariates using stochastic gradient descent and Pade approximation, showing improved performance on a large-scale dataset.

Application of a convolutional neural network to the quality control of MRI defacing

The paper develops a convolutional neural network to automate MRI defacing quality control, reducing manual checks and improving efficiency.

Fast and Powerful Genome Wide Association Analysis of Dense Genetic Data with High Dimensional Imaging Phenotypes

The paper develops a method for efficient genome-wide association analysis of high-dimensional imaging phenotypes using mixed models and variance component estimation.

Do Candidate Genes Affect the Brain’s White Matter Microstructure? Large-Scale Evaluation of 6,165 Diffusion MRI Scans

The paper evaluates 15 candidate SNPs associated with psychiatric disorders using 6,165 diffusion MRI scans, finding no significant associations after correction for multiple testing.

fMRI Correlates of Reaction Time Prolongation during intentional False Responding; an inter-individual difference study

The paper investigates how brain activity correlates with reaction time prolongation during intentional false responding, identifying regions associated with RT cost and baseline speed.