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Real-Time Image Reconstruction with Deep Denoising for Low-Field MRI-Guided Interventions

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi60581.2025.10980690

Authors: Yixuan Liu, Yu Ding, Yingmin Liu, Chong Chen, Kelvin Chow, Ning Jin, Axel Krafft, Florian Maier, Aimee Armstrong, Rizwan Ahmad, Orlando Simonetti, Yuan Xue

Institutions: The Ohio State University, Siemens Healthcare (United States), Siemens Healthineers (Germany), Nationwide Children's Hospital

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: American Heart Association, National Heart, Lung, and Blood Institute

Awards: G2899751267, A Neural Network Pipeline for Rapid Acquisition and Reconstruction of MRI Data for Catheterization Procedures

OpenAlex ID: W4410297119

FWCI:

Cites: 12

Cited by:

Related to: 10