Christian Marzahl, M. Sc.


Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.157
Martensstr. 3
91058 Erlangen

Office hours

Daily Mo, Tu, We, Th, Fr, Room 9.157,

  • Since 04/2019:
    Department of Computer Science


  • Digital Pathology - New Approaches to the Automated Image Analysis of Histologic Slides

    (Own Funds)

    Term: since January 16, 2017

    The pathologist is still the gold standard in the diagnosis of diseases in tissue slides. Due to its human nature, the pathologist is on one side able to flexibly adapt to the high morphological and technical variability of histologic slides but of limited objectivity due to cognitive and visual traps.

    In diverse project we are applying and validating currently available tools and solutions in digital pathology but are also developing new solution in automated image analysis to complement and improve the pathologist especially in areas of quantitative image analysis.


Journal Articles

Conference Contributions


Journal Articles

Book Contributions

Conference Contributions


Journal Articles

Book Contributions

Seminar (SEM)

  • Seminar Digital Pathology and Deep Learning

    This course will be held in a hybrid format. The first session (Oct. 19) will be via Zoom, further details will be shared at the beginning of the seminar. Please register for this course via StudOn.

    • Tue 16:30-18:00, Room 02.133-113