: With the ever-increasing demands on server applications, reliability is of paramount importance. Often these services are implemented using a distributed server cluster architect...
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
In our previous work we have proposed a dynamic version of the consensus propagation (CP) algorithm introduced by Moallemi and Van Roy. Here, we pursue a system theoretic approach...
Studying image intensity change in each pixel in dynamic contrast enhanced (DCE)-MRI data enables differentiation of different tissue types based on their difference in contrast u...
Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Ra...
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...