1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 1 cited
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
Andrey Ignatov, Josephine Yates, Valentina Boeva
Histopathological images are widely used for the analysis of diseased (tumor) tissues and patient treatment selection. While the majority of microscopy image processing was previou…
cs.LG2024★ 1 cited
scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data
Moritz Vandenhirtz, Florian Barkmann, Laura Manduchi +2
We propose a novel method, scTree, for single-cell Tree Variational Autoencoders, extending a hierarchical clustering approach to single-cell RNA sequencing data. scTree corrects f…
q-bio.GN2014
Deciphering regulation in eukaryotic cell: from sequence to function
Valentina Boeva
A transversal topic of my research has been the development and application of computational methods for DNA sequence analysis. The methods I have been developing aim at improving…