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HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology
Personalized virtual heart models have demonstrated increasing potential for clinical use, although the estimation of their parameters given patient-specific data remain a challenge.
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
Modern applications increasingly require unsupervised learning of latent dynamics from high-dimensional time-series.
Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction
We then embed this hybrid model at the latent space of an encoding-decoding framework to enable both supervised and unsupervised identification of the hybrid kinetics and thereby dynamic PET reconstruction.
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