16 citations · 24 across the 2 of their papers we have counts for
3 papers
Noise transfer for unsupervised domain adaptation of retinal OCT images
Valentin Koch, Olle Holmberg, Hannah Spitzer +4
Optical coherence tomography (OCT) imaging from different camera devices causes challenging domain shifts and can cause a severe drop in accuracy for machine learning models. In th…
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Christian Schiffer, Hannah Spitzer, Kai Kiwitz +6
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic prin…
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks
Hannah Spitzer, Katrin Amunts, Stefan Harmeling +1
Microscopic analysis of histological sections is considered the "gold standard" to verify structural parcellations in the human brain. Its high resolution allows the study of lamin…