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 23 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models.
IEEE Trans. Medical Imaging, May, 2026

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis.
CoRR, October, 2025

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting.
CoRR, July, 2025

DIP-UP: Deep Image Prior for Unwrapping Phase.
Inf., 2025

MRF-Mixer: A Simulation-Based Deep Learning Framework for Accelerated and Accurate Magnetic Resonance Fingerprinting Reconstruction.
Inf., 2025

RNA3D-SSCL: Improving RNA Tertiary Structure Prediction via a Secondary Structure-Constrained Loss Function.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Image Reconstruction With B₀ Inhomogeneity Using a Deep Unrolled Network on an Open-Bore MRI-Linac.
IEEE Trans. Instrum. Meas., 2024

Quantitative susceptibility mapping through model-based deep image prior (MoDIP).
NeuroImage, 2024

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.
Medical Image Anal., 2024

IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules.
CoRR, 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

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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