AI for Medical Imaging

Coursecode: BMB4708022
Course coordinator: dr. Matteo Maspero
Credits: 2.5 EC
Lecturers: dr. Hugo Kuijf, dr. Matteo Maspero, Iris Vos, Maarten Terpstra

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” door Eli Stevens, Luca Antiga, Thomas Viehmann ISBN: 9781617295263

Examination: presentation
Prerequisite knowledge: none
Date: Mondays between 9-16h, 14 November 2022 – 30 January 2023
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 mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.

Schedule

For directions to the lecture rooms go to Route.