5 papers · 1 filter
Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)
Hengjie Liu, Yimeng Dou, Di Xu +3
In this paper, we present our submission to the LUMIR25 task of Learn2Reg 2025, which ranked 1st overall on the test set. Extended from LUMIR24, this year's task focuses on zero-sh…
Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations
Di Xu, Hengjie Liu, Xin Miao +9
The scanning time for a fully sampled MRI can be undesirably lengthy. Compressed sensing has been developed to minimize image artifacts in accelerated scans, but the required itera…
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography
Di Xu, Yang Yang, Hengjie Liu +4
Computed tomography (CT) provides high spatial resolution visualization of 3D structures for scientific and clinical applications. Traditional analytical/iterative CT reconstructio…
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain
Di Xu, Qihui Lyu, Dan Ruan +1
Dual-energy computed tomography (DECT) utilizes separate X-ray energy spectra to improve multi-material decomposition (MMD) for various diagnostic applications. However accurate de…
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer
Di Xu, Hengjie Liu, Dan Ruan +1
Dynamic magnetic resonance imaging (DMRI) is an effective imaging tool for diagnosis tasks that require motion tracking of a certain anatomy. To speed up DMRI acquisition, k-space…