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Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI

Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI

Hongyi Gu
Chi Zhang
Zidan Yu
C. Rettenmeier
V. A. Stenger
Mehmet Akçakaya
    OOD
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Papers citing "Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI"

2 / 2 papers shown
Title
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study
Yasar Utku Alçalar
Yu Cao
Mehmet Akçakaya
34
0
0
30 May 2025
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Burhaneddin Yaman
Hongyi Gu
S. A. Hosseini
Omer Burak Demirel
S. Moeller
J. Ellermann
K. Uğurbil
Mehmet Akçakaya
OOD
111
39
0
13 Aug 2020