AI-based Models for multi-omic data analysis and automated evaluation

Graduate: Philipp Weigand

We are engaged in the development of automated multi-omic analysis for tissue sections based on Mass Spectrometry Imaging using deep learning methods. Our approach involves

spectral and spatial data for general applicable classification, segmentation and peak-picking to detect regions of interest, such as tumour regions, in the high-dimensional data.

Our collaboration partners include Shad A. Mohammed, Dr. Denis Abu-Sammour and Prof. Dr. Carsten Hopf.

Supervisor:  Prof. Dr.-Ing. Oliver Wasenmüller

o.wasenmueller@remove-this.hs-mannheim.de
Faculty of Electrical Engineering & Research and Transfer Center CeMOS , University of Applied Sciences Mannheim
www.was.et.hs-mannheim.de