AI for Medical Imaging

BMB4708022

About this course

Period (from – till ): 10 November 2025 - 30 January 2026 (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.

Evaluation:
Students will be divided in groups to perform a homework assingment. At the end of the course, students will present their approach to the assingment. The final score is based on the evalution of:

  • Approach to the homework. This item includes a peer-reviewcomponent (self evaluation among students in a group)
  • Presentation according to the rubrics of the GSLS (a group presentation in which each student is required to present)
  • Questions handling (on both the assignment and the material)

Literature/study material used:
Deep Learning with PyTorch by Eli Stevens, Luca Antiga, Thomas Viehmann. ISBN: 9781617295263; Please note that the book is available as an e-book on the website of Utrecht University Library

Registration:
You can register for this course via here on the Students' site.
Students from outside the UU or TU/e MI-track 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

Learning outcomes

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

Additional information

course
2.5 ECTS • broadening
  • Level
    master
If anything remains unclear, please check the FAQ of Utrecht University.

Starting dates

  • 10 Nov 2025

    ends 30 Jan 2026

    LocationUtrecht
    LanguageEnglish
    Term *Period 2
    Monday 09:00 - 11:45, Monday 09:00 - 12:45, Monday 09:00 - 15:00, Monday 09:00 - 17:00, Monday 10:00 - 12:45, Monday 11:00 - 15:00, Monday 11:00 - 17:00, Monday 13:15 - 16:00, Monday 13:15 - 17:00, Monday 13:15 - 19:00, Monday 14:15 - 17:00, Monday 15:15 - 18:00, Monday 15:15 - 19:00, Monday 16:15 - 19:00, Tuesday 09:00 - 12:00, Tuesday 09:00 - 12:45, Tuesday 09:00 - 15:00, Tuesday 09:00 - 17:00, Tuesday 10:00 - 12:45, Tuesday 11:00 - 15:00, Tuesday 11:00 - 17:00, Tuesday 13:15 - 16:00, Tuesday 13:15 - 17:00, Tuesday 13:15 - 19:00, Tuesday 14:15 - 17:00, Tuesday 15:15 - 18:00, Tuesday 15:15 - 19:00, Tuesday 16:15 - 19:00, Wednesday 09:00 - 12:00, Wednesday 09:00 - 12:45, Wednesday 09:00 - 15:00, Wednesday 09:00 - 17:00, Wednesday 10:00 - 12:45, Wednesday 11:00 - 15:00, Wednesday 11:00 - 17:00, Wednesday 13:15 - 16:00, Wednesday 13:15 - 17:00, Wednesday 13:15 - 19:00, Wednesday 14:15 - 17:00, Wednesday 15:15 - 18:00, Wednesday 15:15 - 19:00, Wednesday 16:15 - 19:00, Thursday 09:00 - 12:00, Thursday 09:00 - 12:45, Thursday 09:00 - 15:00, Thursday 09:00 - 17:00, Thursday 10:00 - 12:45, Thursday 11:00 - 15:00, Thursday 11:00 - 17:00, Thursday 13:15 - 16:00, Thursday 13:15 - 17:00, Thursday 13:15 - 19:00, Thursday 14:15 - 17:00, Thursday 15:15 - 18:00, Thursday 15:15 - 19:00, Thursday 16:15 - 19:00, Friday 09:00 - 11:45, Friday 09:00 - 12:45, Friday 09:00 - 15:00, Friday 09:00 - 17:00, Friday 10:00 - 12:45, Friday 11:00 - 15:00, Friday 11:00 - 17:00, Friday 13:15 - 16:00, Friday 13:15 - 17:00, Friday 14:15 - 17:00, Friday 15:15 - 19:00