Abstract: PET scatter correction typically employs a single Compton scatter simulation which is scaled to the emission data to account for multiple scatter. However, Monte Carlo simulations suggest ...
Abstract: Autoencoding is a vital branch of representation learning in deep neural networks (DNNs). The extreme learning machine-based autoencoder (ELM-AE) has been recently developed and has gained ...
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