eprintid: 33489
rev_number: 10
eprint_status: archive
userid: 4613
dir: disk0/00/03/34/89
datestamp: 2023-07-10 06:40:07
lastmod: 2023-07-10 06:40:07
status_changed: 2023-07-10 06:40:07
type: HD.PhdThesisAb
metadata_visibility: show
creators_name: Sandig, Frederik Luca
title: Automatic deep learning segmentation of cortical and white matter lesions of multiple sclerosis patients in 7 Tesla magnetic resonance imaging data
subjects: ddc-610
divisions: i-51001
adv_faculty: af-05
keywords: Deutsches Krebsforschungszentrum (DKFZ)
date: 2023
own_urn: urn:nbn:de:bsz:16-heidok-334892
date_accepted: 2023-05-19
advisor: HASH(0x559de76c7ee8)
language: ger
bibsort: SANDIGFREDAUTOMATICD2023
full_text_status: public
citation:   Sandig, Frederik Luca  (2023) Automatic deep learning segmentation of cortical and white matter lesions of multiple sclerosis patients in 7 Tesla magnetic resonance imaging data.  [Abstract of a medical dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/33489/1/Sandig_Frederik_Luca.pdf