We sincerely invite researchers and practitioners engaged in the acquisition, analysis, and modeling of multimodal signals—including medical imaging, physiological parameters, and clinical diagnostic data—in clinical and health management settings to pursue collaborative research.
This initiative focuses on intelligent signal processing under nonstationary and high-noise conditions, cross-modal feature fusion, and automated detection of clinical anomalies, with an emphasis on advancing adaptive algorithms, interpretable diagnostic models, and intelligent clinical decision support systems.
Researchers and professionals with expertise in machine learning, statistical modeling, medical informatics, or signal processing are especially welcome to participate.
The collaboration aims to bridge methodological innovation with real-world clinical practice, enhancing the reliability and intelligence of medical signal interpretation and health risk prediction.
Contact email: runhai.he@helsinki.fi
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