Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.

Tim Julian AdlerLynton ArdizzoneAnant VemuriLeonardo AyalaJanek GröhlThomas KirchnerSebastian WirkertJakob KruseCarsten RotherUllrich KötheLena Maier-Hein

Published in: International journal of computer assisted radiology and surgery (2019)

Our method could help to optimize optical camera design in an application-specific manner.

Keyphrases

neural network
high resolution
high speed
mass spectrometry
convolutional neural network
machine learning
fluorescence imaging