96 citations · 96 across the 2 of their papers we have counts for
2 papers
eess.IV2025
SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
Min Li, Chen Chen, Zhenghao Li +9
Quantitative susceptibility mapping (QSM) provides a valuable tool for quantifying susceptibility distributions in human brains; however, two types of opposing susceptibility sourc…
cond-mat.mtrl-sci2018★ 96 cited
Artificial Intelligent Atomic Force Microscope Enabled by Machine Learning
Boyuan Huang, Zhenghao Li, Jiangyu Li
Artificial intelligence (AI) and machine learning have promised to revolutionize the way we live and work, and one of particularly promising areas for AI is image analysis. Neverth…