<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Behfar, Stefan</dc:contributor>
  <dc:creator>Schlappinger, Jennifer</dc:creator>
  <dc:date>2023</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Nowadays, non-invasive scanning procedures, such as MRI, allow scientists to look at the brain in more detail and thereby detect connections between various brain regions that - when put together - construct an entire brain network. They do not do that by themselves but with the help of medical software applications, which will briefly be reviewed in this thesis for their functionalities and their technical characteristics. Using the well-documented FSL application, the goal of this thesis is to conceptualize and finally implement a medical web application that creates a brain connectivity matrix that is user-friendly and easily extensible, creating an application framework for future, more automated research about Alzheimer’s disease.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://sonar.ch/global/documents/328222</dc:identifier>
  <dc:identifier>https://sonar.ch/documents/328222/files/Schlappinger Jennifer.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:publisher>Haute école de gestion de Genève</dc:publisher>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:subject>info:eu-repo/classification/udc/004</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Creation of a web application using FSL tools</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_7a1f</dc:type>
</oai_dc:dc>
