collaborators

5 papers

eess.IV2024

CAS-GAN for Contrast-free Angiography Synthesis

De-Xing Huang, Xiao-Hu Zhou, Mei-Jiang Gui +6

Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN frame…

eess.IV2024

SPIRONet: Spatial-Frequency Learning and Graph-based Channel Interaction Network for Vessel Segmentation

De-Xing Huang, Xiao-Hu Zhou, Xiao-Liang Xie +8

Automatic vessel segmentation plays a pivotal role in the development of next-generation interventional navigation systems for surgical robotics. However, current approaches still…

eess.IV2024

MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation

De-Xing Huang, Xiao-Hu Zhou, Mei-Jiang Gui +6

Medical image segmentation takes an important position in various clinical applications. 2.5D-based segmentation models bridge the computational efficiency of 2D-based models with…

cs.LG2023

MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator

Xiao-Yin Liu, Xiao-Hu Zhou, Guotao Li +5

Offline reinforcement learning (RL) faces a significant challenge of distribution shift. Model-free offline RL penalizes the Q value for out-of-distribution (OOD) data or constrain…

cs.LG2023

CROP: Conservative Reward for Model-based Offline Policy Optimization

Hao Li, Xiao-Hu Zhou, Shu-Hai Li +6

Offline reinforcement learning (RL) aims to optimize a policy using collected data without online interactions. Model-based approaches are particularly appealing for addressing off…