Marc Fischer

M. Sc.

Institute of Signal Processing and System Theory


Pfaffenwaldring 47
70550 Stuttgart
Room: 2.250

Office Hours

by arrangement


Medical signal processing


Development of automated segmentation and analysis methods for the determination of morphological and functional features from medical images of magnetic resonance imaging (MRI).

Emphases are:

Development of appropriate methods for localization and segmentation of relevant structures as well as tissue classification by means of Machine Learning (ML), including Random Forests and Deep Learning
Consideration of implicit / explicit model information to support the ML algorithms
Quantitative and qualitative analysis of the obtained structures

M. Fischer, M. Schwartz, B. Yang and F. Schick
Random Forest based Calf Muscle Segmentation from MR data incorporating Prior Information
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018, June 2018, Paris, France.

Internship - Medical Image Processing

To the top of the page