Raphael Prevost Research

This page has been written a few years ago during my PhD and is now a bit outdated.

My current research interests now mostly include the use of deep learning methods in innovative applications. For instance, we designed a system able to reconstruct a 3D volume out of a video clip of 2D ultrasound images without any tracking information [1]. We also work on real-time segmentation of ultrasound images and how we can leverage it to register pre-operative data or improve system calibrations [2].

I am also interested in creating new segmentation and registration algorithms that would incorporate the latest progress in terms of machine learning.

>> Model-based Image Segmentation

>> Joint Co-Segmentation and Registration

>> Machine Learning via Random Forests

>> Kidney Detection via Robust Ellipsoid Detection