This paper proposes to study the relevance of several divergence measures to be used within a factor analysis framework.
Nov 25, 2019 · Abstract—Factor analysis has proven to be a relevant tool for extracting tissue time-activity curves (TACs) in dynamic PET images, since it ...
Abstract—Factor analysis has proven to be a relevant tool for extracting tissue time-activity curves (TACs) in dynamic. PET images, since it allows for an ...
Jul 31, 2018 · Factor analysis has proven to be a relevant tool for extracting tissue time-activity curves (TACs) in dynamic PET images, since it allows ...
Medical Image Analysis 84, 102689, 2023. 1, 2023. Factor analysis of dynamic PET images: Beyond Gaussian noise—Complementary results and supplementary materials.
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise by Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cedric Fevotte, Simon Stute,
Factor analysis of dynamic PET images: Beyond Gaussian noise—Complementary results and supplementary materials. YC Cavalcanti, T Oberlin, N Dobigeon, S Stute, ...
Factor analysis has proven to be a relevant tool for extracting tissue time-activity curves (TACs) in dynamic PET images.
Generalized factor analysis incorporating alpha-divergence and ...
jnm.snmjournals.org › supplement_1
May 1, 2018 · Objectives: We aimed to improve quantitative accuracy of time-activity curves (TACs) of regional tissue from dynamic myocardial PET images.
Missing: beyond | Show results with:beyond
Factor analysis has proven to be a relevant tool for extracting tissue time-activity curves (TACs) in dynamic PET images, since it allows for an unsupervised ...