activity
20232026
most citedAn unsupervised method for MRI recovery: Deep image prior with structured sparsity

2 citations · 6 across the 8 of their papers we have counts for

collaborators

9 papers

eess.IV2026

Patch-Based Diffusion Reconstruction for Accelerated Cardiac Cine

Xuan Lei, Philip Schniter, Juliet Varghese +1

Purpose: To develop and evaluate a diffusion-based reconstruction framework for highly accelerated 2D real-time (RT) cine cardiovascular magnetic resonance imaging (CMR). Methods:…

eess.IV2026

MOSAIC: A Self-supervised Dynamic Multi-encoding Reconstruction Framework for 3D Late Gadolinium Enhancement MRI

Muhammad A. Sultan, Yingmin Liu, Katherine Binzel +3

Purpose: To develop and evaluate a self-supervised dynamic reconstruction framework for highly undersampled dual-echo three-dimensional late gadolinium enhancement (3D LGE) MRI. Me…

eess.IV2025

EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection

Syed M. Arshad, Lee C. Potter, Yingmin Liu +3

We propose EMORe, an adaptive reconstruction method designed to enhance motion robustness in free-running, free-breathing self-gated 5D cardiac magnetic resonance imaging (MRI). Tr…

eess.IV2025

A multi-dynamic low-rank deep image prior (ML-DIP) for 3D real-time cardiovascular MRI

Chong Chen, Marc Vornehm, Zhenyu Bu +6

Purpose: To develop a reconstruction framework for 3D real-time cine cardiovascular magnetic resonance (CMR) from highly undersampled data without requiring fully sampled training…

eess.IV2025★ 2 cited

An unsupervised method for MRI recovery: Deep image prior with structured sparsity

Muhammad Ahmad Sultan, Chong Chen, Yingmin Liu +3

Objective: To propose and validate an unsupervised MRI reconstruction method that does not require fully sampled k-space data. Materials and Methods: The proposed method, deep imag…

eess.SP2024

Coil Reweighting to Suppress Motion Artifacts in Real-Time Exercise Cine Imaging

Chong Chen, Yingmin Liu, Yu Ding +6

Background: Accelerated real-time cine (RT-Cine) imaging enables cardiac function assessment without the need for breath-holding. However, when performed during in-magnet exercise,…

eess.SP2024

Accelerated Real-time Cine and Flow under In-magnet Staged Exercise

Preethi Chandrasekaran, Chong Chen, Yingmin Liu +5

Background: Cardiovascular magnetic resonance imaging (CMR) is a well established imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress wi…

eess.IV2023★ 2 cited

Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction

Muhammad A. Sultan, Chong Chen, Yingmin Liu +2

High-quality training data are not always available in dynamic MRI. To address this, we propose a self-supervised deep learning method called deep image prior with structured spars…

eess.IV2023★ 2 cited

Surface Coil Intensity Correction for MRI

Xuan Lei, Philip Schniter, Chong Chen +2

Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, dif…