PHAROS AI Factory announces the 6th Course of its Training Series, under the title “Vision Representation Learning and Generative Models in Biomedicine“, under the Specialisation AI4Health.

Presentation language: Greek

Audience: This course is intended for data scientists and Machine Learning engineers, biomedical and computational researchers, PhD and MSc students in AI, biomedical engineering or computer vision, as well as professionals in medical technology, digital health and life sciences.

Location: Online via Zoom (you will get the zoom link upon registration)

Description: 

This course explores state-of-the-art machine learning techniques for biomedical image analysis, focusing on how deep neural networks learn visual representations for tasks such as classification, segmentation and anomaly detection. The first part introduces vision representation learning, covering convolutional neural networks, transfer learning and self-supervised approaches, with examples from medical imaging and histopathology. The second part focuses on generative models, including Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), and their applications in data augmentation, image synthesis and scientific discovery. Through theory, demonstrations and real-world examples, participants will gain practical insight into how these techniques are applied in modern biomedical AI workflows.

Learning Objectives

By the end of the course, participants will:

• Gain a deeper understanding of vision representation learning techniques in biomedicine
• Understand the role of generative models in biomedical image analysis
• Learn how modern deep learning architectures are applied to medical and biological data
• Engage with practical examples and case studies drawn from real-world research

Learning Outcomes:

After completing the course, participants will be able to:

• Explain core principles of representation learning and generative modeling
• Analyze biomedical imaging problems and select appropriate modeling approaches
• Evaluate when and how generative models can be applied in biomedical projects
• Identify next steps for further research or implementation in professional settings

The course’s agenda can be found here.

Register to attend by filling out the form here.