Yang Gao

Orcid: 0000-0002-3846-0999

Affiliations:
  • Central South University, Changsha, School of Computer Science and Engineering, Hunan, China
  • University of Queensland, School of Information Technology and Electrical Engineering, Australia (PhD 2022)


According to our database1, Yang Gao authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping.
CoRR, 2024

2023
AutoBCS: Block-Based Image Compressive Sensing With Data-Driven Acquisition and Noniterative Reconstruction.
IEEE Trans. Cybern., April, 2023

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping.
NeuroImage, 2023

Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP).
CoRR, 2023

2022
Deep learning-based quantitative susceptibility mapping: methods development and applications
PhD thesis, 2022

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks.
NeuroImage, 2022

Non-Cartesian Spiral Binary Sensing Matrices.
Circuits Syst. Signal Process., 2022

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources.
CoRR, 2022

2021
Design of Submillimeter Magnetic Stimulation Instrumentation and Its Targeted Inhibitory Effect on Rat Model of Epilepsy.
IEEE Trans. Instrum. Meas., 2021

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.
NeuroImage, 2021

2020
Chaotic Compressive Sampling Matrix: Where Sensing Architecture Meets Sinusoidal Iterator.
Circuits Syst. Signal Process., 2020

2019
Extreme Low Frequency Electromagnetic Field Stimulation Induces Metaplastic-Like Effects on LTP/ LTD.
IEEE Access, 2019


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