Artificial Intelligence applied to image analysis

Abstract

Artificial Intelligence (AI) is increasingly transforming the way image data is processed, analyzed and used to support decision-making in critical domains. From improving diagnostic accuracy in medical imaging to enabling precision monitoring in agriculture and ensuring quality control in industrial production. AI image analysis has become central to a wide range of applications.

This session focuses on practical and theoretical advances in applying machine learning, deep learning and computer vision techniques to real world image analysis tasks. Innovative methodologies, deployment strategies and current challenges to image analysis are topics of
interest in this special session. Emphasis is placed on approaches that demonstrate robustness, explainability and effectiveness in real scenarios in which images with high resolution are needed. Relevant topics include the entire pipeline of intelligent image processing, from data acquisition and annotation to model training, validation, deployment and post-hoc interpretation.

This session provides a chance to present both theoretical and applied research that extends the boundaries of what intelligent systems can achieve with visual data in several areas of knowledge such as healthcare, agriculture and manufacturing.

Topics

● Deep learning architectures for image segmentation, classification and detection
● Explainability and trustworthiness in image-based AI systems
● Analysis of images with high resolution for medical applications
● Analysis of images for precision agriculture
● Analysis of images for manufacturing processes
● Progressive learning
● Multimodal image analysis
● Generative AI in image synthesis and augmentation
● Edge AI and real-time image processing

We welcome research contributions focusing on how intelligent algorithms can enhance the analysis and interpretation of image data, supporting impactful, data-driven solutions across a variety of application domains.

Organizers

Gema Parra Cabrera. University of Jaén, Spain.
Francisco Daniel Pérez Cano. University of Granada, Spain.

Submission

See submission instructions for the conference at the call for papers. At the beginning of the submission, please choose the track “AI applied to image analysis”.

Submission link: https://easychair.org/conferences/?conf=ideal2025

Special Session Papers Submission Deadline: June 15th, 2025