Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. - Fereshteh Yousefirizi; Natalia Dubljevic; Shadab Ahamed; Ingrid Bloise; Claire Gowdy; Joo Hyun O; Youssef Farag; Rodrigue de Schaetzen; Patrick Martineau; Don Wilson; Carlos F. Uribe; Arman Rahmim (Image Processing, 2022)

Efficient Ground Vehicle Path Following in Game AI. - Rodrigue de Schaetzen; Alessandro Sestini (CoG, 2023)

Real-Time Navigation for Autonomous Surface Vehicles In Ice-Covered Waters. - Rodrigue de Schaetzen; Alexander Botros; Robert Gash; Kevin Murrant; Stephen L. Smith 001 (ICRA, 2023)

AUTO-IceNav: A Local Navigation Strategy for Autonomous Surface Ships in Broken Ice Fields. - Rodrigue de Schaetzen; Alexander Botros; Ninghan Zhong; Kevin Murrant; Robert Gash; Stephen L. Smith 001 (CoRR, 2024)

Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving. - Luke Rowe; Rodrigue de Schaetzen; Roger Girgis; Christopher Pal; Liam Paull (CoRR, 2025)