Hackathon: Deep Learning in Java
Human Technopole Milan, ItalyHackathon focused on improving the accessibility of Deep Learning models in Java-based image analysis software tools.
Hackathon focused on improving the accessibility of Deep Learning models in Java-based image analysis software tools.
Wondering how to make the most out of your bioimaging data?
Join us for a free, online workshop that will introduce the FAIR (Findable, Accessible, Interoperable and Reusable) principles, focusing on their implementation for bioimaging data.
Speakers will include representatives from Euro-BioImaging, BioImage Archive, the AI4Life project, and more … Our special guest, Katrín Möller, a post-doctoral researcher at Biomedical Center of the University of Iceland, will share her personal story of depositing her microglia dataset on the BioImage Archive.
The Open Symposium will start on Thursday the 11th of May and will focus on recent scientific developments and open tools in bioimage analysis. There will be a special session for AI4Life, […]
AI4Life and the BioImage Model Zoo (Anna Kreshuk).
The Defragmentation Training School 2 is addressed to the new generation of bioimage analysts and will take place from the 8th to the 12th of May 2023. The training school […]
The course is designed to provide an introduction to the fundamentals of machine learning and deep learning, as well as an understanding of when and how these methods are suitable […]
The Open Symposium will start on Thursday the 11th of May and will focus on recent scientific developments and open tools in bioimage analysis. There will be a special session for AI4Life, […]
This meeting will be the fourth instalment of our highly successful Cell Dynamics Meeting series, and will focus on ‘Imaging Cell Dynamics’. Emphasis will be placed on researchers addressing biological […]
This virtual course will show how public bioimaging data resources, centred around the BioImage Archive, enable and enhance machine learning based image analysis. The content will explore a variety of […]
This course has two parallel tracks:Early career investigators track: Learn to master the tools and techniques of bioimage analysis for your own research. From power usage to building analysis pipelines.Analysts track: Learn […]
This event brings together the computational and life science communities. We are currently building web and cloud infrastructure aimed at addressing the challenges of building and deploying AI tools for […]
The advent of deep learning has brought a revolution in the field of computer vision, including most tasks and research questions concerned with microscopy image analysis. Neural networks have been […]