Capita Selecta Image Analysis (TU/e)

Course description:

This course covers a number of state-of-the-art techniques and topics in medical image analysis. It is a specialisation course for those with a general understanding of medical image analysis looking to deepen their knowledge. The topics of this year are Deep Learning, Image Registration and Validation. You will learn about machine learning, (convolutional) neural networks and how to train them. The second part of the course considers nonlinear image registration and proper methods to set up a validation study. Each part of the course will come with a large group assignment on actual medical data to give you hands-on experience, both in a deep learning approach to a medical image analysis problem and in nonlinear image registration for clinical data.

PLEASE NOTE: this course is taught in Eindhoven; check Osiris Eindhoven for a more extensive description.

Literature/study material:  Slide handouts.
Deep Learning by Goodfellow, Bengio and Courville, available at http://www.deeplearningbook.org/ (Links to an external site.).
Other material will be made available.

Registration: register at TU/e, course code 8DM20, at least 4 weeks before the start of the course. Please note that you also have to register for the exam, information can be found here.
UU Osiris registration will be done retroactively when the results from TU/e have been received. Please also inform us that you have applied for this course by sending an email to mix@isi.uu.nl.