Karla L. Miller

The paper integrates 3D light-sheet microscopy with diffusion MRI to predict cellular features from MRI data across multiple mouse strains.

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 a deep learning model using domain adaptation to predict high-resolution fibre orientations from diffusion MRI, informed by microscopy data, improving connectivity mapping in human brains.

This paper introduces a stereotaxic container for human brain fixation that enables precise MRI-to-histology alignment during postmortem studies.

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 study uses Monte-Carlo simulations to show that permeability and magnetization transfer significantly affect diffusion MRI signal and parameter estimation in cylindrical substrates.

This paper models and corrects motion-induced signal corruption in DW-SSFP diffusion MRI using an extended phase graph framework and provides open-source software for future studies.

The paper introduces a multi-modal Monte Carlo MRI simulator that models tissue microstructure's impact on various MRI sequences and validates it against established techniques.

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 introduces a novel acquisition and reconstruction framework for submillimeter diffusion MRI, achieving high-quality images at 0.53 mm and 0.65 mm resolutions with reduced distortion and improved SNR.

This study compares auditory pathway connectivity in echolocating and non-echolocating whales using diffusion tractography, revealing differences in tract strength and laterality.

This paper introduces a method to accelerate multi-shell diffusion MRI by using Gaussian process reconstruction, improving image quality and enabling faster scans.

The paper identifies molecular pathways associated with neurodevelopmental disorder subgroups using neuroimaging data from mice and humans.

The paper applies the BENCH framework to link diffusion MRI signal changes to microstructural features in brain tissue using histology data.

The paper disambiguates ongoing brain aging from baseline effects using cross-sectional data and validates findings with longitudinal data from UK Biobank.

This study compares hippocampal structure and function across humans and macaques to show conservation of micro- and macro-structure but evolutionary reconfiguration in functional connectivity.

This study examines neocortical sulcal anatomy across 26 carnivoran species using neuroimaging to identify patterns related to behavior and ecology.

This study characterizes a mouse model with TDP-43 M323K mutation, showing cognitive, motor, and structural brain abnormalities linked to TDP-43 mislocalization and increased levels.

The paper develops a resource to evaluate MRI harmonisation approaches by comparing variability across scanners, within-scanners, and biological differences using multimodal data from multiple sites.

The paper introduces the BigMac dataset, combining multi-contrast MRI and microscopy data from a macaque brain, enabling multimodal analysis across scales and tissue states.

This paper introduces a method to reduce distortion and boundary slice aliasing in 3D diffusion MRI without increasing scan time, achieving high-resolution imaging with improved anatomical fidelity.

This study shows that the FUSDelta14 mutation causes neurodevelopmental and systemic metabolic issues in mice, including brain structural abnormalities and metabolic pathway changes.

The paper introduces an automated pipeline for registering stand-alone histology sections to whole-brain MRI data with sub-voxel accuracy.

This paper introduces an automated pipeline to extract quantitative histological metrics for voxelwise MRI-histology comparisons and finds activated microglia strongly predicts DTI FA, suggesting diffusion MRI sensitivity to neuroinflammation.

This paper estimates axial diffusivity in the NODDI model using high b-value data and shows the impact of noise assumptions on parameter estimates.

The paper develops a QSM pipeline to analyze brain magnetic susceptibility in UK Biobank data, finding associations with iron, disease, and genetic variants.

The paper introduces the Digital Brain Bank, an open access platform providing curated post-mortem neuroimaging datasets across species and modalities for neuroanatomical and neuropathological research.

This paper introduces a model-based method to correct dynamic off-resonance in accelerated fMRI of awake non-human primates, reducing artifacts and improving image quality.

This paper develops a Kinetic Tensor model to correct T2 inhomogeneity in post-mortem brain imaging by accounting for fixative outflux, showing improved alignment with histological markers.

This paper introduces DIPPI, a new MRI technique that estimates the g-ratio per fibre population in crossing voxels, improving myelin quantification in complex white matter regions.