Steen Moeller

This paper presents high-resolution diffusion MRI techniques for in vivo and ex vivo macaque brain imaging at 10.5 Tesla, enabling detailed connectivity studies.

This paper develops an 80-channel receive array for 10.5T MRI to optimize SNR and parallel imaging by addressing parasitic losses and design improvements.

The paper develops an RF coil array system for high-resolution in vivo and ex vivo non-human primate brain imaging at 10.5 Tesla, achieving improved spatial resolution and imaging capabilities.

This paper uses 10.5T fMRI to achieve 0.5 mm isotropic resolution, enabling detailed study of hippocampal function and high-precision clinical applications.

This paper explores the potential and challenges of ultrahigh resolution fMRI at 10.5 Tesla to study cortical layers with improved resolution compared to standard methods.

This paper evaluates the diffusion-weighted steady-state free precession (DW-SSFP) sequence for ex vivo macaque brain imaging at 10.5T, showing improved SNR efficiency and geometric distortion reduction.

This paper presents initial results of 10.5 Tesla fMRI in humans, showing improved spatial resolution and functional contrast compared to 7 Tesla.

This paper introduces multi-echo acquisition and thermal denoising methods to improve precision functional MRI in adults, children, and newborns, showing increased signal-to-noise ratio and reliability.

The paper develops a 128-channel receive array for 10.5T brain imaging, showing SNR gains and plateau effects in central regions.

The paper develops a high-channel-count RF coil array for 10.5T MRI, achieving high SNR and demonstrating high-resolution brain imaging at this field strength.

The paper compares microstructure and fiber orientation measurements from polarization-sensitive OCT and ultra-high-field dMRI in macaque brains and demonstrates a GAN for improving MRI resolution using OCT data.

This study evaluates two versions of NORDIC denoising on submillimeter auditory fMRI data, finding improved detection sensitivity and reliability but reduced average response amplitude.

This paper evaluates dMRI denoising methods by defining performance criteria and comparing patch-based algorithms in complex and magnitude domains.

The paper uses ultra-high field fMRI to study task-related top-down modulations in human visual areas across cortical layers, finding layer-specific patterns in V1 and FFA.

This paper introduces a novel fMRI denoising technique that improves temporal-SNR and functional map detection without altering signal amplitudes or spatial precision.

The paper evaluates the NORDIC method for reducing thermal noise in fMRI data, showing it improves sensitivity and preserves spatiotemporal precision without significant loss of temporal information.

This paper introduces NORDIC, a denoising framework for dMRI that improves SNR and fiber resolution, outperforming existing methods in simulations and human connectome data.