Brice Rauby, PhD Candidate
Polytechnique Montréal & Mila – Quebec AI Institute

Brice Rauby is a PhD candidate in Biomedical Engineering at Polytechnique Montréal and Mila, jointly supervised by Prof. Jean Provost and Dr. Maxime Gasse. His research investigates novel deep learning–based methods for Ultrasound Localization Microscopy (ULM), with particular emphasis on three-dimensional extension and in vivo applicability.

His main contributions include the design of sparse-tensor neural networks that drastically reduce memory requirements and enable scalable deep learning models for 3D ULM, allowing higher microbubble concentrations and faster acquisition times. He also authored a comprehensive review on deep learning applications in ULM, covering simulation strategies, dataset design, and emerging trends across the ULM processing pipeline.