Investigating Segmentation Uncertainty for Active Learning in Cardiac Magnetic Resonance Imaging

Rosauer, Philipp and Händeler, Angelina and Terhag, Felix and Rüttgers, Alexander (2024) Investigating Segmentation Uncertainty for Active Learning in Cardiac Magnetic Resonance Imaging. ESCO 2024, 2024-06-10 - 2024-06-14, Pilsen, Tschechien.

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Item URL in elib:

https://elib.dlr.de/208860/

Document Type:

Conference or Workshop Item (Speech)

Title:

Investigating Segmentation Uncertainty for Active Learning in Cardiac Magnetic Resonance Imaging

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Rosauer, Philipp	UNSPECIFIED	https://orcid.org/0000-0001-9984-3013	UNSPECIFIED
Händeler, Angelina	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Terhag, Felix	UNSPECIFIED	https://orcid.org/0000-0001-7053-8154	UNSPECIFIED
Rüttgers, Alexander	UNSPECIFIED	https://orcid.org/0000-0001-6347-9272	UNSPECIFIED

Date:

11 June 2024

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Uncertainty Quantification, Semantic Segmentation, Cardiac Magnetic Resonance Imaging

Event Title:

ESCO 2024

Event Location:

Pilsen, Tschechien

Event Type:

international Conference

Event Start Date:

10 June 2024

Event End Date:

14 June 2024

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 > High-Performance Computing
Institute of Aerospace Medicine > Cardiovascular Medicine in Aerospace
Institute of Software Technology

Deposited By:

Rosauer, Philipp

Deposited On:

28 Nov 2024 09:04

Last Modified:

28 Nov 2024 09:04

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