Qiyuan Tian

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 study uses 7T fMRI to compare brain activity during speech production and perceptual categorization, finding that left motor networks are involved in both tasks.

This study quantifies how axonal beading and undulation affect axon diameter estimation in diffusion MRI, showing potential biases up to 100% in pathological conditions.

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

This paper introduces HDnGAN, a hybrid denoising GAN that improves the quality of fast volumetric MRI by denoising Wave-CAIPI images, achieving better SNR, sharpness, and lesion conspicuity than existing methods.

This paper introduces a structured low-rank matrix modeling method to correct ghosting in ex vivo dMRI, improving accuracy and reliability of diffusion metrics.

The paper presents a high-resolution in vivo whole-brain diffusion MRI dataset with detailed anatomical images and field maps for research and development of dMRI techniques.

The paper investigates how physiological processes like respiration and heart rate can create apparent brain connectivity patterns in resting-state fMRI data, challenging interpretations of functional networks.