Xiaozhi Cao

The paper examines the postnatal development of putamen microstructure and white matter connectivity in autism, finding preserved organization with increased prefrontal connectivity.

This paper introduces FCG, a technique that corrects spatiotemporal-varying phase errors in EPI using an MLP, improving image quality on high-performance systems.

SMENA estimates motion and B0 inhomogeneity with high temporal resolution, improving image quality in MRI by correcting both factors simultaneously.

The paper investigates myelin development in human visual cortex using qMRI and immunohistochemistry, finding distinct myelination and R1 trajectories across development.

This study evaluates how diffusion MRI spatial resolution affects short-range association fiber reconstruction and structural connectivity estimation, finding that higher resolution and specific tractography methods improve accuracy.

This paper evaluates the reliability and validity of Magnetic Resonance Fingerprinting (MRF) for measuring white matter T1 values in children, finding improved reliability with longer scan duration but not B0 correction.

This paper introduces sEPTI, a 3D imaging technique for rapid whole-brain T2* and susceptibility mapping, achieving faster imaging and improved quality compared to existing methods.

This paper introduces Deli-CS, a method that accelerates spatio-temporal MRI reconstruction using deep learning-initialized compressed sensing, reducing time and resource usage while maintaining quality.