Medical Image Analysis

This is the website of the Medical Image Analysis course (NBE-E4010) taught by Koen Van Leemput at Aalto University.

The teaching material used in the course consists of a tailor-made book and lecture slides:

All material is available from a git repo under a CC BY 4.0 license, and can therefore be used freely in other courses.

Implementation

This website only contains links to the teaching material and the schedule (see below). The MyCourses website will be used for the practical implementation, such as group creation and exercise assignments (material, report submissions and peer grading) as well as announcements and discussion fora.

Note that this course is not designed to be an online course: the primary venue to have your questions answered by the teacher and the TAs, and to get detailed feedback on your work, is to physically attend the lectures and the exercise sessions.

The course is heavily focused on solving actual exercises in NumPy/Python (six in total). These exercises will be performed in groups of max 3 students, with reports that will be both peer graded and lightly reviewed by the course personnel (teacher and TAs).

The actual course grading will be based on a final, individual oral examination, guided by the exercise reports that your group submitted throughout the course period. Participating in the peer grading is required to pass the course, and helping to answer fellow students’ questions in the discussion fora is encouraged (and will be viewed positively in the grading).

Schedule

For the fall 2026 semester, lectures will be held on Mondays 12.15–14.00 in U141 U3 (Undergraduate Center, Otakaari 1). Exercise sessions with teaching assistants present will be held on Tuesdays (10:15-12:00) in A123 A1 (Undergraduate Center, Otakaari 1).

Note: no exercise sessions will be organized on Tue 17 Nov and Tue 24 Nov.

A detailed schedule is given below:

Week Date Activity Location Topic  
1 Mon 31 Aug Lecture U141 Introduction and group selection - introduction: pdf
- example jupyter notebook
2 Mon 7 Sep Lecture U141 Image smoothing and interpolation - chapter 1 in the book (html pdf)
- slides: html pdf
  Tue 8 Sep Exercise A123 Smoothing and interpolation submission deadline: Fri 18 Sep at 23:59
3 Mon 14 Sep Lecture U141 Coordinate systems, linear spatial transformations, landmark-based registration - sections 2.1-2.3 in the book (html pdf)
- slides: html pdf
  Tue 15 Sep Exercise A123 Landmark-based registration submission deadline: Fri 25 Sep at 23:59
4 Mon 21 Sep Lecture U141 Intensity-based registration - section 2.4 in the book, excluding Gauss-Newton optimization (html pdf)
- slides: html pdf
  Tue 22 Sep Exercise A123 Landmark-based registration (cont.) submission deadline: Fri 25 Sep at 23:59
5 Mon 28 Sep Lecture U141 Nonlinear registration - sections 2.2.2 and 2.4 in the book, especially Gauss-Newton optimization (html pdf)
- slides: html pdf
  Tue 29 Sep Exercise A123 Intensity-based registration submission deadline: Fri 9 Oct at 23:59
6 Mon 5 Oct Lecture U141 Model-based segmentation I - sections 3.1-3.3 in the book (html pdf)
- probability refresher: html pdf
- slides: html pdf
  Tue 6 Oct Exercise A123 Nonlinear registration submission deadline: Fri 25 Oct at 23:59
7 Mon 19 Oct Lecture U141 Model-based segmentation II - sections 3.4-3.5 in the book (html pdf)
- slides: html pdf
  Tue 20 Oct Exercise A123 Model-based segmentation submission deadline: Fri 30 Oct at 23:59
8 Mon 26 Oct Lecture U141 Exercise review session I  
  Tue 27 Oct Exercise A123 Model-based segmentation (cont.) submission deadline: Fri 30 Oct at 23:59
9 Mon 2 Nov Lecture U141 Neural networks - chapter 4 in the book (html pdf)
- slides: html pdf
  Tue 3 Nov Exercise A123 Neural networks submission deadline: Fri 13 Nov at 23:59
10 Mon 9 Nov Lecture U141 Guest lecture Mika Kortesniemi, PhD.
Chief Medical Physicist at Helsinki University Central Hospital
  Tue 10 Nov Exercise A123 Neural networks (cont.) submission deadline: Fri 13 Nov at 23:59
11 Mon 16 Nov Lecture U141 Guest lecture TBD
  Tue 17 Nov Exercise A123 no exercise  
12 Mon 23 Nov Lecture U141 Exercise review session II; course wrap-up  
  Tue 24 Nov Exercise A123 no exercise  
13 Mon-Fri 30 Nov - 4 Dec Oral exam      
14 Mon-Fri 7-11 Dec Oral exam