Work

Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction

Year: 2023

Type: conference-paper

Source: IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

DOI: 10.1109/camsap58249.2023.10403495

Authors: Merve Gülle, Ömer Burak Demirel, Logan Dowdle, Steen Moeller, Essa Yacoub, Kârnil Uğurbil, Mehmet Akçakaya

Institution: University of Minnesota

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

Funder: National Institutes of Health

Award: G9000282852

OpenAlex ID: W4391382298

FWCI: 2.938

Cites: 26

Cited by: 4

Related to: 10