From the 1 of 8 linked papers with an AI index.
8 papers
Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy
Carolin Teuber, Anwai Archit, Tobias Boothe +3
The paper evaluates several vision foundation models, including SAM variants and domain‑specific models, for pixel‑level and object‑level classification tasks in microscopy, showin…
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…
BioimageAIpub: a toolbox for AI-ready bioimaging data publishing
Stefan Dvoretskii, Anwai Archit, Constantin Pape +2
Modern bioimage analysis approaches are data hungry, making it necessary for researchers to scavenge data beyond those collected within their (bio)imaging facilities. In addition t…
MedicoSAM: Robust Improvement of SAM for Medical Imaging
Anwai Archit, Luca Freckmann, Constantin Pape
Medical image segmentation is an important analysis task in clinical practice and research. Deep learning has massively advanced the field, but current approaches are mostly based…