AI for Medical Imaging

Period (from – till ): 11 November 2024 - 20 January 2025 (BMS_P2_A), Part-time. This course can be followed together with Diffusion MRI bmb4709022, the schedules do not overlap.

This course covers topics on deep learning for medical image analysis:
• Machine Learning fundamentals
• Deep Learning
• Convolutional Neural Network
• Network Architectures
• Medical Image Analysis applications

During practical sessions students will improve their understanding of the above topics. Additionally there will be a homework group assignment to be handed in at the end of the course.

Literature/study material used:
Deep Learning with PyTorch by Eli Stevens, Luca Antiga, Thomas Viehmann. ISBN: 9781617295263; handouts.

Registration:
You can register for this course via here on the Students' site.
Students from outside the UU or TU/E partnership can register for this course by sending an email to mix@umcutrecht.nl or via EduXchange. Please include your name, student number, Master’s programme and the course code.

Mandatory for students in Master’s programme:
no

Optional for students in other GSLS Master’s programme:
yes

After completing the course the student:
• will be familiar with the concepts of machine learning and deep learning
• will be familiar with the latest developments and clinical applications of these techniques
• has a basic understanding of neural networks for medical image analysis