Neural Ordinary Differential Equation-based Sequential Image Registration for Longitudinal and Dynamic Characterization of Biological Processes

The proposed Neural Ordinary Differential Equation Optimization-based (NODEO) framework leverages the expressive capabilities of neural networks to parameterize ordinary differential equations, enabling the characterization of continuous dynamics in biological systems through sequential image registration.