Christian Marzahl - Pattern Recognition Lab

Christian Marzahl, M. Sc.

Job title: Researcher
Organization: Department of Computer Science
Working group: Chair of Computer Science 5 (Pattern Recognition)
Phone number: +49 9131 85 27891
Fax number: +49 9131 85 27270
Email: christian.marzahl@fau.de
Website: https://lme.tf.fau.de/person/marzahl/
Address:
Martensstr. 3
91058 Erlangen
Room 09.157
Office hours: Daily Mon, Tue, Wed, Thu, Fri, Room 9.157,

Since 04/2019:
Department of Computer Science

2017

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

(Own Funds)

Term: since January 16, 2017

Abstract

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.

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2020

Journal Articles

Marzahl C., Aubreville M., Bertram CA., Stayt J., Jasensky AK., Bartenschlager F., Fragoso-Garcia M., Barton AK., Elsemann S., Jabari S., Krauth J., Madhu P., Voigt J., Hill J., Klopfleisch R., Maier A.:
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
In: Scientific Reports 10 (2020), Article No.: 9795
ISSN: 2045-2322
DOI: 10.1038/s41598-020-65958-2
BibTeX: Download

Book Contributions

Aubreville M., Bertram CA., Jabari S., Marzahl C., Klopfleisch R., Maier A.:
Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, p. 1-7
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_1
URL: https://arxiv.org/pdf/1911.10873.pdf
BibTeX: Download

Conference Contributions

Bertram CA., Aubreville M., Marzahl C., Maier A., Klopfleisch R.:
How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures
Bildverarbeitung für die Medizin 2020 (Berlin, March 17, 2020 - March 19, 2020)
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_65
URL: https://link.springer.com/content/pdf/10.1007/978-3-658-29267-6_65.pdf
BibTeX: Download
Marzahl C., Aubreville M., Bertram CA., Gerlach S., Maier J., Voigt J., Hill J., Klopfleisch R., Maier A.:
Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides?
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_5
BibTeX: Download

2019

Journal Articles

Bertram CA., Aubreville M., Marzahl C., Maier A., Klopfleisch R.:
A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor
In: Scientific Data 6 (2019), p. 1-9
ISSN: 2052-4463
DOI: 10.1038/s41597-019-0290-4
URL: https://www.nature.com/articles/s41597-019-0290-4.pdf
BibTeX: Download

Book Contributions

Marzahl C., Aubreville M., Voigt J., Maier A.:
Classification of leukemic B-Lymphoblast cells from blood smear microscopic images with an attention-based deep learning method and advanced augmentation techniques
In: Anubha Gupta, Ritu Gupta (ed.): ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging, Springer, 2019, p. 13-22 (Lecture Notes in Bioengineering)
DOI: 10.1007/978-981-15-0798-4_2
BibTeX: Download