2 citations · 3 across the 8 of their papers we have counts for
8 papers
ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism
Xinlei Yu, Ahmed Elazab, Ruiquan Ge +6
Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis pre…
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network
Xinlei Yu, Xinyang Li, Ruiquan Ge +8
Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-fa…
TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method
Chenyan Zhang, Yifei Chen, Zhenxiong Fan +5
Recently, diffusion models have gained significant attention as a novel set of deep learning-based generative methods. These models attempt to sample data from a Gaussian distribut…
PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction
Zhaoxin Guo, Zhipeng Wang, Ruiquan Ge +6
The early detection of a pulmonary embolism (PE) is critical for enhancing patient survival rates. Both image-based and non-image-based features are of utmost importance in medical…
LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution
Feiwei Qin, Kang Yan, Changmiao Wang +3
Given the broad application of infrared technology across diverse fields, there is an increasing emphasis on investigating super-resolution techniques for infrared images within th…
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction
Ruiquan Ge, Xiangyang Hu, Rungen Huang +8
Survival prediction plays a crucial role in assisting clinicians with the development of cancer treatment protocols. Recent evidence shows that multimodal data can help in the diag…