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V. Uhlmann

4 papers hereh-index 9266 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • q-bio.OT1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.CV2026

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…

q-bio.OT2025

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…

cs.CV2025

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…

q-bio.QM2024

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…

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