4 citations · 4 across the 3 of their papers we have counts for
4 papers
Three-dimensional reconstruction and characterization of bladder deformations
Augustin C. Ogier, Stanislas Rapacchi, Marc-Emmanuel Bellemare
Background and Objective: Pelvic floor disorders are prevalent diseases and patient care remains difficult as the dynamics of the pelvic floor remains poorly known. So far, only 2D…
Characterization of surface motion patterns in highly deformable soft tissue organs from dynamic MRI: An application to assess 4D bladder motion
Karim Makki, Amine Bohi, Augustin . C Ogier +1
Dynamic MRI may capture temporal anatomical changes in soft tissue organs with high contrast but the obtained sequences usually suffer from limited volume coverage which makes the…
A new geodesic-based feature for characterization of 3D shapes: application to soft tissue organ temporal deformations
Karim Makki, Amine Bohi, Augustin C. Ogier +1
In this paper, we propose a method for characterizing 3D shapes from point clouds and we show a direct application on a study of organ temporal deformations. As an example, we char…
Deep learning-based fully automatic segmentation of wrist cartilage in MR images
Ekaterina Brui, Aleksandr Y. Efimtcev, Vladimir A. Fokin +8
The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR images. CNN utilized…