Berkin Bilgiç

High-SNR Whole-Brain Mesoscale Diffusion MRI Using Rotating-View Acquisitions (ROVER-dMRI)

ROVER-dMRI improves high-SNR whole-brain mesoscale diffusion MRI with reduced scan time and preserved fiber details.

Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI.

This study uses high-resolution fMRI to map resting-state functional connectivity in human ocular dominance columns, revealing depth- and subfield-specific patterns linked to perceptual biases.

Optimized Quantitative Susceptibility Mapping at 7T MRI for Assessing Iron Deposition in Alzheimers Disease

This study optimizes QSM processing at 7T MRI to detect iron deposition differences between Alzheimer's disease patients and healthy controls.

Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements

This study compares multi-echo and time-division multiplexing sequences for relaxation-diffusion MRI, finding TDM provides more accurate T2 estimates and microstructure measures with faster acquisition.

High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network

This paper introduces HDnGAN, a hybrid denoising GAN that improves the quality of fast volumetric MRI by denoising Wave-CAIPI images, achieving better SNR, sharpness, and lesion conspicuity than existing methods.

High-fidelity approximation of grid- and shell-based sampling schemes from undersampled DSI using compressed sensing: Post mortem validation

This study validates compressed sensing for DSI reconstruction, showing high fidelity at R=3 with reduced acquisition time, but degradation at higher acceleration factors.

High-fidelity, high-spatial-resolution diffusion MRI of the ex-vivo whole human brain on the 3T Connectom scanner using structured low-rank EPI ghost correction

This paper introduces a structured low-rank matrix modeling method to correct ghosting in ex vivo dMRI, improving accuracy and reliability of diffusion metrics.

QSM Reconstruction Challenge 2.0: Design and Report of Results

The paper reports results from a QSM reconstruction challenge testing algorithm accuracy in simulated brain data, finding iterative methods and Total Variation-based approaches perform best.

QSM Reconstruction Challenge 2.0: a realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures