16 citations · 27 across the 5 of their papers we have counts for
5 papers
Uncertainty Quantification for Atlas-Level Cell Type Transfer
Jan Engelmann, Leon Hetzel, Giovanni Palla +3
Single-cell reference atlases are large-scale, cell-level maps that capture cellular heterogeneity within an organ using single cell genomics. Given their size and cellular diversi…
Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee, Till Richter, Mikhail Solonin +3
Neural Ordinary Differential Equations (NODEs) have proven successful in learning dynamical systems in terms of accurately recovering the observed trajectories. While different typ…
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…
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields
Gerda Bortsova, Michael Sterr, Lichao Wang +6
Intestinal enteroendocrine cells secrete hormones that are vital for the regulation of glucose metabolism but their differentiation from intestinal stem cells is not fully understo…
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data
Justin Feigelman, Fabian J. Theis, Carsten Marr
Background: Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of disti…