Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference

no code implementations • 24 Oct 2023 • Xiaofeng Liu, Thibault Marin, Tiss Amal, Jonghye Woo, Georges El Fakhri, Jinsong Ouyang

Specifically, we counteract the information loss in the forward process by introducing latent variables.

Variational Inference

Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET

no code implementations • 17 Mar 2023 • Xiaofeng Liu, Thibault Marin, Tiss Amal, Jonghye Woo, Georges El Fakhri, Jinsong Ouyang

Purpose: This work aims at using deep learning to efficiently estimate posterior distributions of imaging parameters, which in turn can be used to derive the most probable parameters as well as their uncertainties.

Bayesian Inference

Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures

no code implementations • 18 Jan 2022 • Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo

Then, we apply a variational autoencoder network and optimize its evidence lower bound (ELBO) to efficiently approximate the distribution of the segmentation map, given an MR image.

MRI segmentation Segmentation +1