Quantifying axonal features of human superficial white matter from three-dimensional multibeam serial electron microscopy data assisted by deep learning.

In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects.

Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction.

Enhance the Image: Super Resolution using Artificial Intelligence in MRI.

Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat).

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.

Estimating axial diffusivity in the NODDI model.

Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact.

Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising.

Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design.

Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI.

SRDTI: Deep learning-based super-resolution for diffusion tensor MRI.

DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning.

Registration-free analysis of diffusion MRI tractography data across subjects through the human lifespan.

Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI.

Phase-matched virtual coil reconstruction for highly accelerated diffusion echo-planar imaging.

Age-related alterations in axonal microstructure in the corpus callosum measured by high-gradient diffusion MRI.

Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength.

HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging.

MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI.

Investigating the Capability to Resolve Complex White Matter Structures with High <i>b</i>-Value Diffusion Magnetic Resonance Imaging on the MGH-USC Connectom Scanner.

Thalamo-Cortical Connectivity: What Can Diffusion Tractography Tell Us About Reading Difficulties in Children?