Shixian Ding

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning

Medical time series are often irregular and face significant missingness, posing challenges for data analysis and clinical decision-making. Existing methods typically adopt a single modeling perspective, either treating series data as sequences or transforming them into image representations for fur…