3 accepted papers
Survival prediction in PD-1 inhibitor patients has received extensive attention in recent years. Existing diffusion models generally focus blurring on key lesion regions, and the masks are weakly matched to CT images during the sampling process, resulting in a relatively high risk of misdiagnosis. F…
Multi-modal Federated Learning (MFL) is a distributed machine learning paradigm that enables multiple participants with multi-modal data to collaboratively train a global model for multi-modal tasks without sharing their local data. MFL typically deploys the trained global model as an Embedding-as-a…
Cross-modality point cloud registration is confronted with significant challenges due to inherent differences in modalities between sensors. To deal with this problem, we propose FF-LOGO: a cross-modality point cloud registration framework with Feature Filtering and LOcal-Global Optimization. The cr…