Computational modeling

Learning a Probabilistic Model for Diffeomorphic Registration

Author(s): Julian Krebs, Herve Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
Learning a Probabilistic Model for Diffeomorphic Registration 1200 709 IEEE Transactions on Medical Imaging (TMI)

We propose to learn a low-dimensional probabilistic deformation model from data which can be used for the registration and the analysis of deformations. The latent variable model maps similar deformations…

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DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography

Author(s): Ehsan Samei, Brian Harrawood, Shobhit Sharma, Anuj Kapadia, William P. Segars
DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography 1200 500 IEEE Transactions on Medical Imaging (TMI)

The purpose of this study was to develop a CT simulation platform that is: 1) compatible with voxel-based computational phantoms; 2) capable of modeling the geometry and physics of commercial…

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Connectivity in fMRI: Blind Spots and Breakthroughs

Author(s): Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy
Connectivity in fMRI: Blind Spots and Breakthroughs 1200 500 IEEE Transactions on Medical Imaging (TMI)

In recent years, driven by scientific and clinical concerns, there has been an increased interest in the analysis of functional brain networks. The goal of these analyses is to better…

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