Extreme Low Frequency Electromagnetic Field Stimulation Induces Metaplastic-Like Effects on LTP/ LTD. - Yu Zheng 026; Chunxiao Tian; Lei Dong; Xiaoxu Ma; Yang Gao 030; Chan Xiong; Kanghui Zhang; Chengshuang Li (IEEE Access, 2019)

Chaotic Compressive Sampling Matrix: Where Sensing Architecture Meets Sinusoidal Iterator. - Hongping Gan; Song Xiao 001; Zhimin Zhang 006; Shanshan Shan; Yang Gao 030 (Circuits Syst. Signal Process., 2020)

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. - Yang Gao 030; Martijn Cloos; Feng Liu 005; Stuart Crozier; G. Bruce Pike; Hongfu Sun (NeuroImage, 2021)

Design of Submillimeter Magnetic Stimulation Instrumentation and Its Targeted Inhibitory Effect on Rat Model of Epilepsy. - Lei Dong; Gang Li 002; Chunxiao Tian; Ling Lin 003; Yang Gao 030; Yu Zheng 026 (IEEE Trans. Instrum. Meas., 2021)

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources. - Xuanyu Zhu; Yang Gao 030; Feng Liu 005; Stuart Crozier; Hongfu Sun (CoRR, 2022)

Non-Cartesian Spiral Binary Sensing Matrices. - Hongping Gan; Yang Gao 030; Tao Zhang 027 (Circuits Syst. Signal Process., 2022)

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. - Yang Gao 030; Zhuang Xiong; Amir Fazlollahi; Peter J. Nestor; Viktor Vegh; Fatima A. Nasrallah; Craig D. Winter; G. Bruce Pike; Stuart Crozier; Feng Liu 005; Hongfu Sun (NeuroImage, 2022)

Deep learning-based quantitative susceptibility mapping: methods development and applications - Yang Gao 030 (2022)

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping. - Zhuang Xiong; Yang Gao 030; Feng Liu 005; Hongfu Sun (NeuroImage, 2023)

AutoBCS: Block-Based Image Compressive Sensing With Data-Driven Acquisition and Noniterative Reconstruction. - Hongping Gan; Yang Gao 030; Chunyi Liu; Haiwei Chen; Tao Zhang 027; Feng Liu 005 (IEEE Trans. Cybern., 2023)

QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping. - Zhuang Xiong; Wei Jiang; Yang Gao 030; Feng Liu 005; Hongfu Sun (CoRR, 2024)

IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. - Min Li 007; Chen Chen; Zhuang Xiong; Ying Liu; Pengfei Rong; Shanshan Shan; Feng Liu 005; Hongfu Sun; Yang Gao 030 (CoRR, 2024)

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. - Yang Gao 030; Zhuang Xiong; Shanshan Shan; Yin Liu; Pengfei Rong; Min Li 007; Alan H. Wilman; G. Bruce Pike; Feng Liu 005; Hongfu Sun (Medical Image Anal., 2024)

Quantitative susceptibility mapping through model-based deep image prior (MoDIP). - Zhuang Xiong; Yang Gao 030; Yin Liu; Amir Fazlollahi; Peter J. Nestor; Feng Liu 005; Hongfu Sun (NeuroImage, 2024)

Image Reconstruction With B₀ Inhomogeneity Using a Deep Unrolled Network on an Open-Bore MRI-Linac. - Shanshan Shan; Yang Gao 030; David Waddington; Hongli Chen; Brendan Whelan; Paul Liu; Yaohui Wang 002; Chunyi Liu; Hongping Gan; Mingyuan Gao; Feng Liu 005 (IEEE Trans. Instrum. Meas., 2024)

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting. - Tianyi Ding; Hongli Chen; Yang Gao 030; Zhuang Xiong; Feng Liu 005; Martijn A. Cloos; Hongfu Sun (CoRR, 2025)