Ender Konukoglu: Katalogdaten im Frühjahrssemester 2023 |
| Name | Herr Prof. Dr. Ender Konukoglu |
| Lehrgebiet | Biomedizinische Bildverarbeitung |
| Adresse | Biomedizinische Bildverarbeitung ETH Zürich, ETF C 107 Sternwartstrasse 7 8092 Zürich SWITZERLAND |
| Telefon | +41 44 633 88 16 |
| kender@vision.ee.ethz.ch | |
| Departement | Informationstechnologie und Elektrotechnik |
| Beziehung | Ausserordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | 3 KP | 2G | E. Konukoglu, E. Erdil, M. A. Reyes Aguirre | |
| Kurzbeschreibung | It is the objective of this lecture to introduce the basic concepts used in Medical Image Analysis. In particular the lecture focuses on shape representation schemes, segmentation techniques, machine learning based predictive models and various image registration methods commonly used in Medical Image Analysis applications. | ||||
| Lernziel | This lecture aims to give an overview of the basic concepts of Medical Image Analysis and its application areas. | ||||
| Voraussetzungen / Besonderes | Prerequisites: Basic concepts of mathematical analysis and linear algebra. Preferred: Basic knowledge of computer vision and machine learning would be helpful. The course will be held in English. | ||||
| 401-5860-00L | Seminar in Robotics for CSE | 4 KP | 2S | M. Hutter, R. Katzschmann, E. Konukoglu, B. Nelson, R. Siegwart, M. Zeilinger | |
| Kurzbeschreibung | This course provides an opportunity to familiarize yourself with the advanced topics of robotics and mechatronics research. The seminar consists of a literature study, including a report and a presentation. | ||||
| Lernziel | The students are familiar with the challenges of the fascinating and interdisciplinary field of Robotics and Mechatronics. They are introduced in the basics of independent non-experimental scientific research and are able to summarize and to present the results efficiently. | ||||
| Inhalt | This 4 ECTS course requires each student to discuss a study plan with the lecturer and select minimum 10 relevant scientific publications to read through. At the end of semester, the results should be presented in an oral presentation and summarized in a report. | ||||