Description

This webinar will present Artificial Intelligence for CT medical imaging, focusing on automated methods for large-scale body composition analysis. The presentation will introduce deep learning techniques for image segmentation, image registration and deep regression methodes of CT images, enabling detailed assessment of tissues such as muscle, adipose tissue, and organs.

Participants will gain insights how AI can be used to automatically analyze CT scans for body composition, enabling research in metabolic diseases and population studies, and explore challenges and future directions in applying AI to large-scale body composition analysis.

Details

Dates
27 May 2026 @ 09:00 - 17:00
Application deadline
May 27, 2026 00:00
Country
Sweden
Language
English
Cost
Free to all
Timezone
Stockholm

Learning Outcomes

  • How AI and deep learning enable automated analysis of CT medical images

  • Methods for large-scale body composition analysis

  • How medical imaging data can be used to study metabolic and health-related conditions

  • Challenges and future directions in AI-driven medical imaging research

Prerequisites & Technical Requirements

Prerequisites

None

Topics & Tags

Keywords
Medical imagingimagingAIMachine Learning

Affiliations & Networks

Associated nodes
External
Target audience
Researchers working in medical imaging, AI, or data sciencePhD students and academics interested in AI for healthcareData scientists and machine learning engineers working with medical dataClinicians and radiologists interested in AI-assisted image analysis

Activity log