Featured Articles

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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Efficient Multiple Organ Localization in CT Image Using 3D Region Proposal Network

Efficient Multiple Organ Localization in CT Image Using 3D Region Proposal Network IEEE Transactions on Medical Imaging (TMI)

Organ localization is an essential preprocessing step for many medical image analysis tasks, such as image registration, organ segmentation, and lesion detection. In this paper, we propose an efficient method…

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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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Learning-Based Quality Control for Cardiac MR Images

Author(s): Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O`Regan, Stuart Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
Learning-Based Quality Control for Cardiac MR Images 1200 500 IEEE Transactions on Medical Imaging (TMI)

The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the…

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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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