Michelle Dawn Bagood

This paper proposes a deep learning-based control framework for wound healing that accelerates closure by 17.71% in simulations and 40% in vivo.

This paper develops a deep reinforcement learning framework for real-time wound healing treatment optimization, showing 17.71% acceleration in in silico experiments and 40% in vivo.

This paper develops a deep learning pipeline for automatic wound detection and size estimation in lab mice images, showing high fidelity results with minimal human intervention.