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论文ICLR 2026 Oral2026 年clinical prediction

BioX-Bridge:跨生物信号的无监督跨模态知识迁移模型桥接

ICLR 2026 Oral accepted paper at ICLR 2026. Biosignals offer valuable insights into the physiological states of the human body. Although biosignal modalities differ in functionality, signal fidelity, sensor comfort, and cost, they are often intercorrelated, reflecting the holistic and interconnected nature of human physiology. This opens up the possibility of performing the same tasks using alternative biosignal modalities, thereby improving the accessibility, usability, and adaptability of health monitoring systems. However, the limited availability of large labeled datasets presents challenges for training models tailored to specific tasks and modalities of interest.

论文默认配图 - 医学影像计算

论文详情

英文标题
BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals
作者
Chenqi Li, Yu Liu, Timothy Denison, Tingting Zhu
期刊/会议
ICLR 2026 Oral
发表年份
2026 年
研究方向
clinical prediction