most citedDiffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction

3 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024★ 2 cited

Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning

Wanyu Bian, Albert Jang, Fang Liu

Using single-task deep learning methods to reconstruct Magnetic Resonance Imaging (MRI) data acquired with different imaging sequences is inherently challenging. The trained deep l…

cs.LG2023★ 3 cited

Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction

Wanyu Bian, Albert Jang, Fang Liu

This study introduces a novel approach for image reconstruction based on a diffusion model conditioned on the native data domain. Our method is applied to multi-coil MRI and quanti…

physics.bio-ph2023★ 2 cited

Magnetic Resonance Parameter Mapping using Self-supervised Deep Learning with Model Reinforcement

Wanyu Bian, Albert Jang, Fang Liu

This paper proposes a novel self-supervised learning method, RELAX-MORE, for quantitative MRI (qMRI) reconstruction. The proposed method uses an optimization algorithm to unroll a…