Veranstaltungsverzeichnis

Veranstaltungsverzeichnis

Department of Health Services Research Click here for PDF-Download

Summer semester 2026 6 Seminars
VAK Course Number Title Type Lecture
Preliminary studies
Advanced courses
Practical course
Colloquium
Research group
Workgroup
Project group
Council conference
Internship
Language course
Subject didactics
Excursion
Tutorial
Committee
SWS Semester weekly hours Teachers Degree
6.07.525 Medical Data Pipelines Wednesday: 10:00 - 12:00, weekly (from 08/04/26), Location: V03 0-E002
Thursday: 12:00 - 14:00, weekly (from 09/04/26), Location: A07 0-025

Description:
Lecture 2 Pascal Biermann
Prof. Dr. Antje Wulff
  • Master
6.07.560 Current topics in self-supervised and label-efficient learning Tuesday: 16:00 - 18:00, weekly (from 07/04/26)

Description:
This seminar will cover current approaches to improve the label-efficiency of machine learning systems in different application domains such as computer vision, speech and natural language processing. A particular focus will lie on self-supervised learning. The seminar will be held in a role-playing format where students present on specific aspects of the paper under consideration which will then be discussed in the whole group in biweekly meetings. This seminar will cover current approaches to improve the label-efficiency of machine learning systems in different application domains such as computer vision, speech and natural language processing. A particular focus will lie on self-supervised learning. The seminar will be held in a role-playing format where students present on specific aspects of the paper under consideration which will then be discussed in the whole group in biweekly meetings.
Seminar 2 Prof. Dr. Nils Strodthoff
  • Master
6.07.527 Big Data Analytics und Clinical Decision Support Tuesday: 10:00 - 12:00, weekly (from 07/04/26), Location: V03 2-W204
Wednesday: 14:00 - 16:00, weekly (from 08/04/26), Location: A07 0-025

Description:
Lecture 4 Anna Katharina Böhm-Hustede
Prof. Dr. Antje Wulff
Dr. Lion von zur Gathen
Dr. med. Milan Till Chuck Bömmer
Pascal Biermann
  • Master
6.07.580_2 Discussion of current Topics in 'Medical Informatics' Wednesday: 08:00 - 10:00, weekly (from 08/04/26)

Description:
Seminar - Prof. Dr. Antje Wulff
Anna Katharina Böhm-Hustede
Bastian Brandes
  • Bachelor
  • Master
6.07.580_3 Current Topics in Artificial Intelligence for Health Friday: 10:00 - 12:00, weekly (from 10/04/26)

Description:
This seminar is supposed to cover current publications and/or research topics in the domain of machine learning with particular regard to applications in the health domain. This includes topics with a strong methodological focus (such as self-supervised learning, quality criteria for ML algorithms such as interpretability/uncertainty quantification) but also medical application topics. This seminar is supposed to cover current publications and/or research topics in the domain of machine learning with particular regard to applications in the health domain. This includes topics with a strong methodological focus (such as self-supervised learning, quality criteria for ML algorithms such as interpretability/uncertainty quantification) but also medical application topics.
Seminar 2 Prof. Dr. Nils Strodthoff
  • Master
6.07.580_1 Opportunities and Challenges of AI in Medicine Monday: 10:00 - 12:00, weekly (from 13/04/26)
Monday: 16:00 - 18:00, weekly (from 01/06/26)

Description:
Seminar - Dr. Maximilian Kiebs, M. Sc. M. Sc.
Dr. rer. nat. Verena Nicole Uslar
Dr. rer. nat. Ulrike Meyer
Prof. Dr. med. Simon Schäfer
Prof. Dr. Mark Ellrichmann
Prof. Dr. Gernot Kaiser
Prof. Dr. Cyrus Khandanpour
Daniel Rosenkranz
Dr. med. Matteo Haupt
Graduate School OLTECH
  • Master
6 Seminars

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