Yang Gao

According to our database, Yang Gao authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Image Reconstruction With B₀ Inhomogeneity Using a Deep Unrolled Network on an Open-Bore MRI-Linac.

Shanshan Shan, Yang Gao, David Waddington, Hongli Chen, Brendan Whelan, Paul Liu, Yaohui Wang, Chunyi Liu, Hongping Gan, Mingyuan Gao, Feng Liu

IEEE Trans. Instrum. Meas., 2024

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

Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun

NeuroImage, 2024

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.

Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun

Medical Image Anal., 2024

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

Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao

CoRR, 2024

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

Zhuang Xiong, Wei Jiang, Yang Gao, Feng Liu, Hongfu Sun

CoRR, 2024

2023

AutoBCS: Block-Based Image Compressive Sensing With Data-Driven Acquisition and Noniterative Reconstruction.

Hongping Gan, Yang Gao, Chunyi Liu, Haiwei Chen, Tao Zhang, Feng Liu

IEEE Trans. Cybern., April, 2023

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

Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun

NeuroImage, 2023

2022

Deep learning-based quantitative susceptibility mapping: methods development and applications

Yang Gao

PhD thesis, 2022

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

Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun

NeuroImage, 2022

Non-Cartesian Spiral Binary Sensing Matrices.

Hongping Gan, Yang Gao, Tao Zhang

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.

Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun

CoRR, 2022

2021

Design of Submillimeter Magnetic Stimulation Instrumentation and Its Targeted Inhibitory Effect on Rat Model of Epilepsy.

Lei Dong, Gang Li, Chunxiao Tian, Ling Lin, Yang Gao, Yu Zheng

IEEE Trans. Instrum. Meas., 2021

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

Yang Gao, Martijn Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun

NeuroImage, 2021

2020

Chaotic Compressive Sampling Matrix: Where Sensing Architecture Meets Sinusoidal Iterator.

Hongping Gan, Song Xiao, Zhimin Zhang, Shanshan Shan, Yang Gao

Circuits Syst. Signal Process., 2020

2019

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

Yu Zheng, Chunxiao Tian, Lei Dong, Xiaoxu Ma, Yang Gao, Chan Xiong, Kanghui Zhang, Chengshuang Li

IEEE Access, 2019