23 citations · 44 across the 16 of their papers we have counts for
4 papers · 1 filter
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…
BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
Wanlu Lei, Caterina Fuster-Barceló, Gabriel Reder +2
We present the BioImageIO Chatbot, an AI assistant powered by Large Language Models and supported by a community-driven knowledge base and toolset. This chatbot is designed to c…
JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
Carlos Garcia Lopez de Haro, Stephane Dallongeville, Thomas Musset +6
We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…