SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology
Alexander Mühlberg, Paul David Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Sebastian Schürmann, Roarke W. Horstmeyer, Andreas Maier, Wolfgang H. Goldmann, Oliver Friedrich, Lucas A. Kreiss
SEMPAI integrates hypothesis-driven priors into a deep learning framework to analyze multiphoton microscopy data of muscle fibers, outperforming existing methods in predictive tasks.
Advanced Science · Aug 15, 2023Peer-reviewedBioinformatics