Mémoire présenté devant le jury de l'EURIA en vue de l'obtention du

A fully automated deep learning pipeline was developed to produce fast, reproducible, and automated quality-controlled left ventricle volume, mass, and ...







Deep Learning?based Automated Segmentation of the Left ... - SFICV
The minimum area method is an algorithm that can be used to solve optimization problems, including finding the width or diameter of a contour ...
Left Ventricular Movement Feature Extraction: A New Method for ...
The pyHRV toolbox developed in the scope of this work is intended to provide functions to compute HRV parameters and other useful functionalities and features.
Development of an Open-Source Python Toolbox for Heart Rate ...
The results of these studies have been published that define proposed solutions to the prediction of Heart Attacks. This section refers to the use of machine ...



Autres Cours:

a multifidelity approach for efficient personalisation of 3D cardiac ...