Deep learning based image registration in dynamic cardiac CT using a recursive cascade network approach

Karen Andrea Lara Hernandez, Ivan Juárez, Michaelle Pérez, Theresa Margarethe Rienmüller, Christian Baumgartner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

This paper presents the development of a
system theory-based model of the COVID-19 pan-
demic spread based on weekly reports available on
the EU Open Data Portal (EUODP). The considered
mathematical model will be represented in the S com-
plex domain as a transfer matrix. System identification
methodology, well known in control system theory,
was applied. Stability analysis with possibilities of con-
trollability and observability was considered. The
spread of a pandemic can be controlled by propor-
tional (P) action in an open loop.
Original languageEnglish
Title of host publicationProceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021
Subtitle of host publicationÖGBMT 2021
EditorsGernot Müller-Putz, Christian Baumgartner
Place of PublicationGraz
PublisherVerlag der Technischen Universität Graz
Pages67-70
Number of pages4
ISBN (Electronic)978-3-85125-826-4
DOIs
Publication statusPublished - 30 Sept 2021
EventAnnual Meeting of the Austrian Society of the Biomedical Engineering 2021: ÖGBMT 2021 - Graz University of Technology, Graz, Austria
Duration: 30 Sept 20211 Oct 2021
https://oegbmt2021.tugraz.at/

Conference

ConferenceAnnual Meeting of the Austrian Society of the Biomedical Engineering 2021
Abbreviated titleÖGBMT 2021
Country/TerritoryAustria
CityGraz
Period30/09/211/10/21
Internet address

Fields of Expertise

  • Human- & Biotechnology

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