6 citations · 7 across the 4 of their papers we have counts for
4 papers
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data
Nastassya Horlava, Alisa Mironenko, Sebastian Niehaus +3
In recent years, Convolutional Neural Networks (CNNs) have become the state-of-the-art method for biomedical image analysis. However, these networks are usually trained in a superv…
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics
Sarah Schmell, Falk Zakrzewski, Walter de Back +10
Histo-pathological diagnostics are an inherent part of the everyday work but are particularly laborious and associated with time-consuming manual analysis of image data. In order t…
Statistical and mathematical modeling of spatiotemporal dynamics of stem cells
Walter de Back, Thomas Zerjatke, Ingo Roeder
Statistical and mathematical modeling are crucial to describe, interpret, compare and predict the behavior of complex biological systems including the organization of hematopoietic…
Towards an understanding of lineage specification in hematopoietic stem cells: A mathematical model for the interaction of transcription factors GATA-1 and PU.1
Ingo Roeder, Ingmar Glauche
In addition to their self-renewal capabilities, hematopoietic stem cells guarantee the continuous supply of fully differentiated, functional cells of various types in the periphera…