1 citations · 1 across the 4 of their papers we have counts for
5 papers
Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
Caterina Fuster-Barceló, Virginie Uhlmann
Although vision foundation models (VFMs) are increasingly reused for biomedical image analysis, it remains unclear whether the latent representations they provide are general enoug…
ShapeEmbed: a self-supervised learning framework for 2D contour quantification
Anna Foix Romero, Craig Russell, Alexander Krull +1
The shape of objects is an important source of visual information in a wide range of applications. One of the core challenges of shape quantification is to ensure that the extracte…
bia-binder: A web-native cloud compute service for the bioimage analysis community
Craig T. Russell, Jean-Marie Burel, Awais Athar +6
We introduce bia-binder (BioImage Archive Binder), an open-source, cloud-architectured, and web-based coding environment tailored to bioimage analysis that is freely accessible to…
Towards noise contrastive estimation with soft targets for conditional models
Johannes Hugger, Virginie Uhlmann
Soft targets combined with the cross-entropy loss have shown to improve generalization performance of deep neural networks on supervised classification tasks. The standard cross-en…
MIFA: Metadata, Incentives, Formats, and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis
Teresa Zulueta-Coarasa, Florian Jug, Aastha Mathur +24
Artificial Intelligence methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new methods, but a…