Work

High-Quality 0.5mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning

Year: 2023

Type: conference-paper

Source: International IEEE/EMBS Conference on Neural Engineering

DOI: 10.1109/ner52421.2023.10123799

Authors: Ömer Burak Demirel, Steen Moeller, Luca Vizioli, Burhaneddin Yaman, Logan Dowdle, Essa Yacoub, Kâmil 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

Open Access status: closed

Funders: National Science Foundation, National Institutes of Health

Awards: G2511372729, G9000313788

OpenAlex ID: W4377089482

FWCI: 2.79

Cites: 41

Cited by: 4

Related to: 10