papers
Publications (3)
eess.IV2025
Enhanced Masked Image Modeling to Avoid Model Collapse on Multi-modal MRI Datasets
Linxuan Han, Sa Xiao, Zimeng Li +5
Multi-modal magnetic resonance imaging (MRI) provides information of lesions for computer-aided diagnosis from different views. Deep learning algorithms are suitable for identifyin…
eess.IV2022
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
Matthew Ng, Fumin Guo, Labonny Biswas +4
Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world…
eess.IV2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Zimeng Li, Sa Xiao, Cheng Wang +11
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provides a way to visualize the structure and function of human lung, but the long imaging time limits its broad r…