PHAROS AI Factory announces the 8th Course of its Training Series, under the title "Generative Modeling in Medical Data", under the specialisation AI4Health, held online via Zoom.
Date: March 23rd, 2026, at 12:00 EET
Location: Online via Zoom
Presentation Language: Greek
Description: This course introduces key concepts and methodologies for working with healthcare and medical data and generating synthetic datasets for research and Machine Learning applications. It begins with an overview of healthcare data types and characteristics, including structured tabular data from electronic health records and medical imaging data such as MRIs and EEGs. The course presents traditional statistical approaches for synthetic data generation and data balancing, including techniques such as SMOTE, ADASYN, and other resampling methods commonly used to address class imbalance. It also covers modern Deep Learning approaches for Generative Modeling, including autoencoders and GANs for synthesizing realistic tabular and visual medical data. Finally, it discusses applications, benefits, and challenges of synthetic data in healthcare.
Audience: Students in Computer Science and Medical Sciences, Researchers.
Prerequisites: Degree/Diploma in Computer Science or Medical Sciences.
Learning Objectives: Gain a deeper understanding of synthetic data generation techniques applied in medical data.
Learning Outcomes:
- Analyze synthetic data generation techniques.
- Explore various data types utilized in healthcare.
- MRI processing and data generation techniques for medical and ML applications.
Instructors' profiles:
Ioannis Vlahavas, Professor at School of Informatics, AUTH
Vasileios Kochliaridis, PhD. at School of Informatics, AUTH
Zoi Katsantoni (MSc)
Note: Please enter your institutional/corporate email when registering.
