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A deep dive into the theoretical mathematics behind Neural ODES, SDEs and Flow Matching
Neural ODEs and neural differential equations offer continuous-time models that align naturally with irregular follow-up and disease progression in longitudinal medical imaging.
This post is the result of a growing curiosity about the applications of neural differential equations in healthcare. While biomedical imaging is a domain that piques my interest, I want this blog to serve as a comprehensive yet easy-to-understand introduction to neural differential equations. I hope that you, as the reader, find this to be a more accessible introduction than I did when first diving into this field.