activity
20182022
most citedAutomated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth

5 citations · 5 across the 2 of their papers we have counts for

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cs.CV2018

Learning a Probabilistic Model for Diffeomorphic Registration

Julian Krebs, Hervé Delingette, Boris Mailhé +2

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

cs.CV2018

Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration

Julian Krebs, Tommaso Mansi, Boris Mailhé +2

We propose a deformable registration algorithm based on unsupervised learning of a low-dimensional probabilistic parameterization of deformations. We model registration in a probab…