Carlos García-López-de-Haro

FilAdh is a framework for analyzing focal adhesions and actin stress fibers, achieving high accuracy in segmentation, reconstruction, and classification while revealing measurement biases under degradations.

The paper discusses AI4Life's Open Calls and Public Challenges, highlighting the state of bioimage analysis, tool availability, and the need for better data and infrastructure.

FeatureForest uses foundation model embeddings with random forests to enable fast, accurate segmentation of complex biological images with minimal labeling.

This paper introduces enhancements to deepImageJ, a Fiji/ImageJ plugin, by integrating the Java Deep Learning Library (JDLL) to support multiple deep learning frameworks, enabling complex bioimage analysis tasks.

The BioImage Model Zoo provides a community standard, infrastructure, and open repository for sharing, testing, and deploying pre-trained deep learning microscopy models across multiple bioimage analysis tools.