Jana Rieger

• Research on predictive modeling in stroke: • Brain vessel segmentation and anatomical labeling in MR images using deep learning. • Stroke outcome prediction using clinical data with deep learning. • Development and implementation of novel analysis approaches for clinical and neuroimaging data. • Development of SW for automated analyses, including thorough unit testing. • Compiling of research results into scientific papers. • Collaboration with clinical institutes and industrial partners.

• Blood vessel segmentation in MRI using deep learning • Thesis: A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients with Cerebrovascular Disease

• Business data analysis for Czech Republic and Slovakia • Planning and forecasting of sales volumes • Creating and enhancing reporting tools • Building and maintenance of databases

• Business data analysis for Czech Republic and Slovakia

Foundational training in computer science and digital media. Core topics: programming, software engineering, databases, operating systems, web and mobile technologies. Additional knowledge in screen design and human-computer interface design.

Economics of Small and Medium Enterprises Public Finance and Bank Products