NeurosciencebioRxivPreprint
Latent Gaussian Process Modeling for Dynamic PET Data: A Hierarchical Extension of the Simplified Reference Tissue Model
The paper introduces a latent Gaussian process extension of the simplified reference tissue model to capture time-varying kinetic parameters in dynamic PET data, demonstrating improved accuracy and uncertainty quantification.
DOI 10.64898/2026.04.11.717906