Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data. - Mattias Billast; Maria Inês Meyer; Diana Maria Sima; David Robben (BrainLes@MICCAI (1), 2019)

Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. - Mattias Billast; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Object Detection To Enable Autonomous Vessels On European Inland Waterways. - Mattias Billast; Robin Janssens; Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Ali Anwar 002; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré; Peter Hellinckx (IECON, 2022)

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. - Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Robin Janssens; Mattias Billast; Ali Anwar 002; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx (IECON, 2022)

Human Motion Prediction on the IKEA-ASM Dataset. - Mattias Billast; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré (VISIGRAPP (5: VISAPP), 2023)

Physical Ergonomics Anticipation with Human Motion Prediction. - Mattias Billast; Jonas De Bruyne; Klaas Bombeke; Tom De Schepper; Kevin Mets (VISIGRAPP (4): VISAPP, 2024)

Unsupervised Domain Adaptation for Human Pose Action Recognition. - Mattias Billast; Tom De Schepper; Kevin Mets (VISIGRAPP (2): VISAPP, 2024)