SEMPAI: a Self‐Enhancing Multi‐Photon Artificial Intelligence for Prior‐Informed Assessment of Muscle Function and Pathology
Abstract Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as black boxes, exclude biomedical experts, and need extensive data. This is especially problematic for fundamental research in the laboratory, where often only small and sparse data are availab...
Main Authors: | Alexander Mühlberg, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Sebastian Schürmann, Roarke Horstmeyer, Andreas K. Maier, Wolfgang H. Goldmann, Oliver Friedrich, Lucas Kreiss |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-10-01
|
Series: | Advanced Science |
Subjects: | |
Online Access: | https://doi.org/10.1002/advs.202206319 |
Similar Items
-
Myofibrillar Lattice Remodeling Is a Structural Cytoskeletal Predictor of Diaphragm Muscle Weakness in a Fibrotic <i>mdx</i> (<i>mdx Cmah<sup>−/−</sup></i>) Model
by: Paul Ritter, et al.
Published: (2022-09-01) -
Multiphoton processes : proceedings /
by: International Conference on Multiphoton Processes (ICOMP) (1977 : Rochester, New York), et al.
Published: (1978) -
Non-invasive classification of macrophage polarisation by 2P-FLIM and machine learning
by: Nuno GB Neto, et al.
Published: (2022-10-01) -
Multiphoton ionization of atoms /
by: Chin, S. L., et al.
Published: (1984) -
Multiple photon infrared laser photophysics and photochemistry/
by: Bagrataschvili, Victor N.
Published: (1985)