activity
20182025
most citedSuper-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning

31 citations · 41 across the 14 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.IV20192 cited

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…

eess.IV2019

Robust Cochlear Modiolar Axis Detection in CT

Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara +2

The cochlea, the auditory part of the inner ear, is a spiral-shaped organ with large morphological variability. An individualized assessment of its shape is essential for clinical…

cs.CV2019

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…

q-bio.NC2019

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…

cs.CV20194 cited

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…