Mila > Team > Brice Rauby

# Brice Rauby

brice.rauby@polymtl.ca
https://github.com/bricerauby
Computer Vision
Deep Learning
Medical Machine Learning (ML)
Student Ph.D., École Polytechnique de Montréal

I am Brice Rauby, a PhD student at Polytechnique Montréal and MILA. I currently work on Ultrasound Localization Microscopy (ULM) under the supervision of Prof.Jean Provost and Maxime Gasse. My research is funded by IVADO and Transmedtech through their PhD excellence scholarship programs. ULM aims to precisely locate microbubbles injected in the blood to achieve super-resolution with ultrasound imaging. Thus, ULM enables the mapping of the vascular network at very high resolution with a safe, inexpensive and widely available approach (Ultrasound Imaging) . That’s why ULM is a very promising novel imaging modality! Deep Learning has an high potential in improving the algorithms for the tracking of microbubbles.

Previously, I have done an engineer degree with a focus on applied mathematics at CentraleSupélec. During my studies, I had the opportunity to apply machine learning to estimate the prognostic value of protein for cancer with the Gustave Roussy Institute. Supervised by Prof. Hugues Talbot, I focussed on Butterfly Classification with the Insectarium de Montréal. During my gap year, I interned at GE Healthcare in Buc, France and developped a liver tumor segmentation algorithm. Then, I worked at Qritive in Singapore on whole slide image analysis for cancer diagnostics.

In my spare time, I enjoy running (mostly on trail), sailing and all sorts of outdoor sports!

Feel free to reach out for collaboration, questions or sport sessions! I would be glad to help!

Finally, if you are you a student interested in the field of ultrasound, medical imaging,and deep learning and looking for an internship you may want to check the Provosot Ultrasound Lab. You can apply spontaneously even when there is no open position. Make sure to take a look at some publications and point out some convergent interests of research!