高杨｜中南大学｜学者主页

期刊论文

2026

SUSEP-Net: Simulation-supervised and contrastive regularization-based deep neural networks for susceptibility source separation

Min Li, Chen Chen, Zhenghao Li, Yin Liu, Shanshan Shan, Peng Wu, Pengfei Rong, Feng Liu, G. Bruce Pike, Alan H. Wilman, Hongfu Sun, Yang Gao

Biomedical Signal Processing and Control

DOI

2026

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Zhuang Xiong, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun

Magnetic Resonance in Medicine

DOI

2026

Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models

Jin Liu, Qing Lin, Zhuang Xiong, Shanshan Shan, Chunyi Liu, Min Li, Feng Liu, G. Bruce Pike, Hongfu Sun, Yang Gao

IEEE Transactions on Medical Imaging

DOI

2026

PARNet: A High-Quality Reconstruction Algorithm for Single-Harmonic Projection Magnetic Particle Imaging

Keyi Tang, Wei Zhao, Jianghao Zhao, Shufeng Zhou, Hongping Gan, Yang Gao, Shouhua Luo, Guohui Ruan, Shanshan Shan, Chunyi Liu, Ning Gu

IEEE Transactions on Instrumentation and Measurement

DOI

2026

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting

Tianyi Ding, Hongli Chen, Yang Gao, Feng Liu, Martijn A. Cloos, Hongfu Sun

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2025

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis

Rui Jin, C. L. Philip Chen, Yin Liu, Peng Yu Wu, Hongfu Sun, Ruiqing Zheng, Min Zeng, Min Li, Yang Gao

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

DIP-UP: Deep Image Prior for Unwrapping Phase

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

Information

DOI

2025

Quantitative susceptibility mapping via deep neural networks with iterative reverse concatenations and recurrent modules

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

Medical Physics

DOI

2025

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

Tianyi Ding, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, Hongfu Sun

Information

DOI

2024

基于增强MRI多期图像的影像组学联合模型预测肝细胞癌患者Ki-67表达水平

叶卫川，陈炜越，蓝传强，王海永，叶妙清，张莹，高杨，周永进，陈敏江，纪建松

《温州医科大学学报》

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 Analysis

DOI

2024

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

Shanshan Shan, Yang Gao, David E. J. Waddington, Chen Hong-li, Brendan Whelan, Paul Z. Y. Liu, Yaohui Wang, Chunyi Liu, Hongping Gan, Mingyuan Gao, Feng Liu

IEEE Transactions on Instrumentation and Measurement

DOI

2024

Using Adaptive Imaging Parameters to Improve PEGylated Ultrasmall Iron Oxide Nanoparticles‐Enhanced Magnetic Resonance Angiography

Cang Li, Shanshan Shan, Lei Chen, Mohammad Javad Afshari, Hongzhao Wang, Kuan Lu, Dandan Kou, Ning Wang, Yang Gao, Chunyi Liu, Jianfeng Zeng, Feng Liu, Mingyuan Gao

Advanced Science

DOI

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

DOI

2023

Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac

Shanshan Shan, Yang Gao, Paul Z. Y. Liu, Brendan Whelan, Hongfu Sun, Bin Dong, Feng Liu, David E. J. Waddington

Magnetic Resonance in Medicine

DOI

2022

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

Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun

NeuroImage

DOI

预印本

2025

Two-stage Respiratory Motion-resolved Radial MR Image Reconstruction Using an Interpretable Deep Unrolled Network

Shanshan Shan, Hongli Chen, Yuhan Wei, Peng Wu, Yang Gao, Tess Reynolds, Paul Liu, Jialiang Zhang, Qidi Luo, Chunyi Liu, Paul Keall, Feng Liu, Yaqin Zhang, David E. J. Waddington, Mengjuan Gao

arXiv (Cornell University)

DOI

高杨

精选作品

期刊论文

SUSEP-Net: Simulation-supervised and contrastive regularization-based deep neural networks for susceptibility source separation

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models

PARNet: A High-Quality Reconstruction Algorithm for Single-Harmonic Projection Magnetic Particle Imaging

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis

DIP-UP: Deep Image Prior for Unwrapping Phase

Quantitative susceptibility mapping via deep neural networks with iterative reverse concatenations and recurrent modules

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

基于增强MRI多期图像的影像组学联合模型预测肝细胞癌患者Ki-67表达水平

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

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

Using Adaptive Imaging Parameters to Improve PEGylated Ultrasmall Iron Oxide Nanoparticles‐Enhanced Magnetic Resonance Angiography

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

Distortion‐corrected image reconstruction with deep learning on an MRI‐Linac

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

预印本

Two-stage Respiratory Motion-resolved Radial MR Image Reconstruction Using an Interpretable Deep Unrolled Network

研究方向