2 papers
cs.CV2025
ClimaOoD: Improving Anomaly Segmentation via Physically Realistic Synthetic Data
Yuxing Liu, Zheng Li, Huanhuan Liang +3
Anomaly segmentation seeks to detect and localize unknown or out-of-distribution (OoD) objects that fall outside predefined semantic classes a capability essential for safe autonom…
eess.IV2025
Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
Yutao Hu, Ying Zheng, Shumei Miao +20
Foundation models have demonstrated remarkable potential in medical domain. However, their application to complex cardiovascular diagnostics remains underexplored. In this paper, w…