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Tommaso Mansi

Siemens Healthineers, Digital Services, Digital Technology and Innovation, Princeton, NJ, USA

Associated articles

TMI, Featured Articles
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs, Herve Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
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 close to each other in an encoding space. It enables... Read more
Posted on 4 FEB 2019
TMI,
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs, Herve Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi
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 close to each other in an encoding space. It enables... Read more
Posted on 4 MAR 2020

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