250 citations · 531 across the 23 of their papers we have counts for
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Anatomically Consistent Segmentation of Organs at Risk in MRI with Convolutional Neural Networks
Pawel Mlynarski, Hervé Delingette, Hamza Alghamdi +2
Planning of radiotherapy involves accurate segmentation of a large number of organs at risk, i.e. organs for which irradiation doses should be minimized to avoid important side eff…
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
Julian Krebs, Tommaso Mansi, Nicholas Ayache +1
We propose to learn a probabilistic motion model from a sequence of images. Besides spatio-temporal registration, our method offers to predict motion from a limited number of frame…
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments
Raphaël Sivera, Hervé Delingette, Marco Lorenzi +2
In this study we propose a deformation-based framework to jointly model the influence of aging and Alzheimer's disease (AD) on the brain morphological evolution. Our approach combi…
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank
Qiao Zheng, Hervé Delingette, Kenneth Fung +2
We perform unsupervised analysis of image-derived shape and motion features extracted from 3822 cardiac 4D MRIs of the UK Biobank. First, with a feature extraction method previousl…
Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data
Clement Abi Nader, Nicholas Ayache, Philippe Robert +1
We introduce a probabilistic generative model for disentangling spatio-temporal disease trajectories from series of high-dimensional brain images. The model is based on spatio-temp…