activity
20152022
most citedCan parametric statistical methods be trusted for fMRI based group studies?

3.7k citations · 4.1k across the 26 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

eess.SP2019

Improved functional MRI activation mapping in white matter through diffusion-adapted spatial filtering

David Abramian, Martin Larsson, Anders Eklund +1

Brain activation mapping using functional MRI (fMRI) based on blood oxygenation level-dependent (BOLD) contrast has been conventionally focused on probing gray matter, the BOLD con…

stat.ME2019

Anatomically informed Bayesian spatial priors for fMRI analysis

David Abramian, Per Sidén, Hans Knutsson +2

Existing Bayesian spatial priors for functional magnetic resonance imaging (fMRI) data correspond to stationary isotropic smoothing filters that may oversmooth at anatomical bounda…

eess.IV2019★ 10 cited

Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN

David Abramian, Anders Eklund

Registration between an fMRI volume and a T1-weighted volume is challenging, since fMRI volumes contain geometric distortions. Here we present preliminary results showing that 3D C…

stat.ME2019

Spatial 3D Matérn priors for fast whole-brain fMRI analysis

Per Sidén, Finn Lindgren, David Bolin +2

Bayesian whole-brain functional magnetic resonance imaging (fMRI) analysis with three-dimensional spatial smoothing priors has been shown to produce state-of-the-art activity maps…

q-bio.NC2019

Graph Spectral Characterization of Brain Cortical Morphology

Sevil Maghsadhagh, Anders Eklund, Hamid Behjat

The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of st…