53 citations · 71 across the 6 of their papers we have counts for
6 papers
Timestep Rescheduling in Diffusion Inversion
Shangquan Sun, Ting Gong, Zhirui Liu +5
Diffusion inversion, which maps images back to the Gaussian latent space of a diffusion model, is a critical task for image reconstruction and editing. While DDIM enables fast dete…
High-resolution myelin-water fraction and quantitative relaxation mapping using 3D ViSTa-MR fingerprinting
Congyu Liao, Xiaozhi Cao, Siddharth Srinivasan Iyer +14
Purpose: This study aims to develop a high-resolution whole-brain multi-parametric quantitative MRI approach for simultaneous mapping of myelin-water fraction (MWF), T1, T2, and pr…
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols
Tobias Goodwin-Allcock, Ting Gong, Robert Gray +2
We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation from only six-direction diffusion weighted images (DWI). Deep learning-based methods have been recently pro…
Machine-learning-informed parameter estimation improves the reliability of spinal cord diffusion MRI
Ting Gong, Francesco Grussu, Claudia A. M. Gandini Wheeler-Kingshott +2
Purpose: We address the challenge of inaccurate parameter estimation in diffusion MRI when the signal-to-noise ratio (SNR) is very low, as in the spinal cord. The accuracy of conve…
Optimized multi-axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole-brain high-isotropic-resolution quantitative imaging
Xiaozhi Cao, Congyu Liao, Siddharth Srinivasan Iyer +10
Purpose: To improve image quality and accelerate the acquisition of 3D MRF. Methods: Building on the multi-axis spiral-projection MRF technique, a subspace reconstruction with loca…
Robust diffusion parametric mapping of motion-corrupted data with a three-dimensional convolutional neural network
Ting Gong, Qiqi Tong, Hongjian He +2
Head motion is inevitable in the acquisition of diffusion-weighted images, especially for certain motion-prone subjects and for data gathering of advanced diffusion models with pro…