elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Image-wise uncertainty quantification for medical imaging

Rosauer, Philipp and Händeler, Angelina and Terhag, Felix and Rüttgers, Alexander and Felderer, Michael (2025) Image-wise uncertainty quantification for medical imaging. In: International Conference on Uncertainty Quantification in Computational Science and Engineering. 6th International Conference on Uncertainty Quantification in Computational Science and Engineering, 2025-06-15 - 2025-06-18, Rhodos, Griechenland.

This is the latest version of this item.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/219454/
Document Type:Conference or Workshop Item (Speech)
Title:Image-wise uncertainty quantification for medical imaging
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Rosauer, PhilippUNSPECIFIEDhttps://orcid.org/0000-0001-9984-3013199366229
Händeler, AngelinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Terhag, FelixUNSPECIFIEDhttps://orcid.org/0000-0001-7053-8154199366230
Rüttgers, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-6347-9272UNSPECIFIED
Felderer, MichaelUNSPECIFIEDhttps://orcid.org/0000-0003-3818-4442199366236
Date:15 June 2025
Journal or Publication Title:International Conference on Uncertainty Quantification in Computational Science and Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Probabilistic segmentation, Cardiac MRI, U-Net, Image-wise uncertainty
Event Title:6th International Conference on Uncertainty Quantification in Computational Science and Engineering
Event Location:Rhodos, Griechenland
Event Type:international Conference
Event Start Date:15 June 2025
Event End Date:18 June 2025
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Research under Space Conditions
DLR - Research theme (Project):R - LBNP for bed rest and ISS ME/FE
Location: Köln-Porz
Institutes and Institutions:Institute of Software Technology
Institute of Software Technology > High-Performance Computing
Institute of Aerospace Medicine > Cardiovascular Medicine in Aerospace
Institute of Aerospace Medicine
Deposited By: Rosauer, Philipp
Deposited On:11 Dec 2025 08:58
Last Modified:11 Dec 2025 08:58

Available Versions of this Item

  • Image-wise uncertainty quantification for medical imaging. (deposited 11 Dec 2025 08:58) [Currently Displayed]

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.