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MedFlow: Class-Aware Multi-Scale Generation for Medical Time-Series Synthesis
Synthetic medical time-series generation can alleviate data scarcity and support the development of reliable clinical prediction models. However, existing methods mainly focus on matching the overall distribution and temporal dynamics of real data, which does not necessarily ensure strong downstream
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