5 papers
Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
Guohao Huo, Ruiting Dai, Zitong Wang +2
Multi-modal brain tumor segmentation remains challenging for practical deployment due to the high computational costs of mainstream models. In this work, we propose GMLN-BTS, a Gra…
SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception
Guohao Huo, Ruiting Dai, Ling Shao +1
To address complex pathological feature extraction in automated cardiac MRI segmentation, we propose SAMba-UNet, a novel dual-encoder architecture that synergistically combines the…
DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification
Guohao Huo, Zibo Lin, Zitong Wang +2
Ophthalmic diseases pose a significant global health burden. However, traditional diagnostic methods and existing monocular image-based deep learning approaches often overlook the…
Frequency Domain Enhanced U-Net for Low-Frequency Information-Rich Image Segmentation in Surgical and Deep-Sea Exploration Robots
Guohao Huo, Ruiting Dai, Jinliang Liu +2
In deep-sea exploration and surgical robotics scenarios, environmental lighting and device resolution limitations often cause high-frequency feature attenuation. Addressing the dif…
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning
Ruiting Dai, Yuqiao Tan, Lisi Mo +4
Commonsense question answering has demonstrated considerable potential across various applications like assistants and social robots. Although fully fine-tuned pre-trained Language…