4 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
Match: Foundation Models for Semi-supervised Learning and Domain Adaptation in EM
Marei Freitag, Olesia Korchevaia, Luca Freckmann +2
Vision foundation models have substantially advanced computer vision, enabling state-of-the-art performance in zero- and few-shot settings. They have been successfully applied to b…
CellNet -- Localizing Cells using Sparse and Noisy Point Annotations
Benjamin Eckhardt, Dmytro Fishman, Stuart Fawke +3
Counting living cells is an important step in many biological research workflows. Our collaborators at the Wellcome Sanger Institute study vital genes in humans via large scale sat…
Revisiting foundation models for cell instance segmentation
Anwai Archit, Constantin Pape
Cell segmentation is a fundamental task in microscopy image analysis. Several foundation models for cell segmentation have been introduced, virtually all of them are extensions of…
Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy
Carolin Teuber, Anwai Archit, Tobias Boothe +3
Deep learning underlies most modern approaches and tools in computer vision, including biomedical imaging. However, for interactive semantic segmentation (often called pixel classi…