Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …

Multi-modal medical image super-resolution (SR) plays a vital role in enhancing the
resolution of medical images, providing more detailed visuals that aid in accurate clinical …

Artificial intelligence (AI) has made significant advances in the field of diffusion magnetic
resonance imaging (dMRI) and other neuroimaging modalities. These techniques have …

Recent advances in neuroscience requires high-resolution MRI to decipher the structural
and functional details of the brain. Developing a high-performance gradient system is an …

Neurite Orientation Dispersion and Density Imaging (NODDI) is an important imaging
technology used to evaluate the microstructure of brain tissue, which is of great significance …

Time-dependent diffusion magnetic resonance imaging (TDDMRI) is useful for the non-
invasive characterization of tissue microstructure. These models require densely sampled qt …

Brain anatomical age is an effective feature to assess the status of the brain, such as atypical
development and aging. Although some deep learning models have been developed for …

Purpose Demonstrating and assessing self‐supervised machine‐learning fitting of the
VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for …

Diffusion magnetic resonance imaging (dMRI) is a non-invasive method for capturing the
microanatomical information of tissues by measuring the diffusion weighted signals along …

Neurite Orientation Dispersion and Density Imaging (NODDI) microstructure estimation from
diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and …