AI for Medical Imaging

Coursecode: BMB4708022
Course coordinator: dr. Alberto de Luca
Credits: 2.5 EC
Lecturers: dr. Alberto de Luca, Mathijs de Boer, Giulia de Donno

Course description

Topics on deep learning for medical image analysis will be introduced:

  • 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.

Learning goals

Upon completion of 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

Literature / study materials

“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.

Examination: presentation
Prerequisite knowledge: none
Date: Mondays between 9-16h, 13 November 2023 – 22 January 2024
Registration: Please check the registration procedure for the enrollment deadlines. Other UU and TU/e partnership students can register for this course via Osiris Student. Students from outside the UU or TU/E partnership can register for this course by sending an email to Please include your name, student number, Master’s programme and the course code.


For directions to the lecture rooms go to Route.d