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Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways
We demonstrate our approach on two scenarios and compare the resulting path with path planning using a Frenet frame and path planning based on a proximal policy optimization (PPO) agent.
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data
A discriminator model is then trained to predict if two lesion segmentations are based on scans acquired using the same scanner type or not, achieving a 78% accuracy in this task.
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