Shanshan Shan

According to our database, Shanshan Shan authored at least 6 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

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

2021

Correction of magnetic resonance image distortion due to gradient nonlinearity in the Australian MRI-Linac system

Shanshan Shan

PhD thesis, 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

Gradient Field Deviation (GFD) Correction Using a Hybrid-Norm Approach With Wavelet Sub-Band Dependent Regularization: Implementation for Radial MRI at 9.4 T.

Shanshan Shan, Mingyan Li, Fangfang Tang, Huan Ma, Feng Liu, Stuart Crozier

IEEE Trans. Biomed. Eng., 2019