The impact of AI in scientific image processing

• Deborah Schmidt (HELMHOLTZ IMAGING - Max Delbrück Center)

This presentation highlights the practical applications of AI in enhancing scientific imaging processes. We'll touch on key AI techniques that streamline tasks along the imaging pipeline such as denoising, segmentation, and visualization, demonstrating how they contribute to more efficient data processing and analysis. From processing large datasets with high-quality outcomes, to addressing dataset integrity and training bias considerations, from U-Nets to foundation models, this talk aims to provide a concise overview of AI's benefits and challenges in scientific imaging.

Image segmentation with AI techniques

• Saúl Cano Ortiz (University of Cantabria)

Enter into the field of image segmentation with AI techniques, as we uncover strategies for partitioning visual data into meaningful regions. Learn about the state of the art models with a special focus on diffusion models oriented to do data augmentation segmentation. Learn about different segmentation algorithms and their applications, and explore how AI enables researchers to tackle complex segmentation tasks. This session highlights the diverse range of applications and models for image segmentation, showing a particular example concerning the detection of pavement defects for road condition monitoring.

Enhancing satellite imagery with AI: superresolution

• Daniel García (ICMAN)

Learn how to enhance satellite imagery analysis with the power of AI superresolution techniques. Discover how AI4EOSC can enhance the spatial resolution of satellite images, revealing finer details and improving the accuracy of remote sensing applications. From urban planning to agricultural monitoring, learn how superresolution can unlock new insights and opportunities for leveraging satellite imagery within the EOSC platform.

Train an AI4EOSC module (using YOLO)

• Enoc Martinez (UPC)

Take your AI4EOSC skills to the next level by learning how to train a custom module using the YOLO (You Only Look Once) object detection algorithm. Explore the fundamentals of deep learning and computer vision, and gain hands-on experience with training and deploying AI models within the AI4EOSC dashboard. Whether you're interested in object detection, tracking, or localization, this session equips you with the tools and techniques needed to develop powerful AI solutions tailored to your specific research goals.