most citedMRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis

Peiyu Duan, Jiyao Wang, Nicha C. Dvornek +4

Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and difficult to acquire at scale, motivating rest-to-task synthesis from widely avail…

eess.IV2026

Subject-Specific Low-Field MRI Synthesis via a Neural Operator

Ziqi Gao, Nicha Dvornek, Xiaoran Zhang +3

Low-field (LF) magnetic resonance imaging (MRI) improves accessibility and reduces costs but generally has lower signal-to-noise ratios and degraded contrast compared to high field…

eess.IV2024

MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction

Ziqi Gao, Wendi Yang, Yujia Li +2

Non-semantic context information is crucial for visual recognition, as the human visual perception system first uses global statistics to process scenes rapidly before identifying…

eess.IV2024

DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction

Ziqi Gao, Yue Zhang, Xinwen Liu +2

Multi-contrast (MC) Magnetic Resonance Imaging (MRI) reconstruction aims to incorporate a reference image of auxiliary modality to guide the reconstruction process of the target mo…

eess.IV2024★ 2 cited

MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model

Ziqi Gao, S. Kevin Zhou

Implicit visual knowledge in a large latent diffusion model (LLDM) pre-trained on natural images is rich and hypothetically universal to natural and medical images. To test this hy…