VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Seminar in Biomedical Image Computing
Last Updated: 2026-02-05 16:07:30
Abstract
This is a seminar lecture focusing on recent research topics in biomedical image computing, machine learning techniques related to interpreting biomedical images and medical data in general. Every week a different topic will be presented and discussed.
Objective
The goal of this lecture is to provide a glimpse of the current research landscape to graduate students who are interested in working on biomedical image computing and related areas. Different topics will be covered by different speakers every week to provide a broad perspective and highlight current challenges. Every week students will be asked to read a paper, prepare discussion questions and participate in the discussion. Upon completion of this course, students will have a broad overview of the recent developments in biomedical image computing and ability to critically discuss a scientific article.
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Seminar in Biomedical Image Computing |
|
2 h weekly |
Offered In
-
-
-
Signal Processing and Machine Learning (The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Signal Processing and Machine Learning ", see . The individual study plan is subject to the tutor's approval.)
-
Specialization Courses (These specialization courses are particularly recommended for the area of "Signal Processing and Machine Learning", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialization courses during the MSc EEIT.)
-
-
-
-
Major Courses (A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval.)
-
-
-
-
Doctorate Information Technology and Electrical Engineering (More Information at: )
-
Subject Specialisation (A minimum of 12 ECTS credit points must be obtained during doctoral studies (also see other categories for details) The courses on offer below are but a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)
-