Xiaoping Wu

The paper presents a cattle metabolome atlas linking genetic variants to metabolites and traits, revealing colocalization with eQTL and causal gene-metabolite-trait networks.

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.

This paper demonstrates the feasibility of mesoscopic whole-brain T2*-weighted MRI at 10.5 T using advanced coils and motion-robust sequences, showing improved SNR and quantification precision compared to 7 T.

The paper identifies sgACC functional connectivity abnormalities in depression using large-scale brain imaging data and develops an individualized TMS targeting algorithm to improve treatment outcomes.

This paper introduces a two-step non-local PCA method for denoising diffusion MRI with few diffusion directions, improving image quality and DTI metric estimation.

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.

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

The paper analyzes resting-state fMRI data from 1,300 MDD patients and 1,128 controls to find reduced default mode network functional connectivity in recurrent MDD, not first-episode MDD.