Enhancing Semantic Segmentation of Synchrotron Tomography Data using Explainable AI and Uncertainty Estimation

Melching, David and Talies, Jesco and Strohmann, Tobias and Bugelnig, Katrin and Palm, Frank and Wielenberg, Christoph and Villanova, Julie and Requena, Guillermo (2024) Enhancing Semantic Segmentation of Synchrotron Tomography Data using Explainable AI and Uncertainty Estimation. MSE 2024, 2024-09-24 - 2024-09-26, Darmstadt, Deutschland.

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Item URL in elib:

https://elib.dlr.de/207137/

Document Type:

Conference or Workshop Item (Speech)

Title:

Enhancing Semantic Segmentation of Synchrotron Tomography Data using Explainable AI and Uncertainty Estimation

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Melching, David	David.Melching (at) dlr.de	https://orcid.org/0000-0001-5111-6511	UNSPECIFIED
Talies, Jesco	jesco.talies (at) dlr.de	https://orcid.org/0009-0000-0786-7908	UNSPECIFIED
Strohmann, Tobias	Tobias.Strohmann (at) dlr.de	https://orcid.org/0000-0002-9277-1376	UNSPECIFIED
Bugelnig, Katrin	Katrin.Bugelnig (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Palm, Frank	Airbus Central Research & Technology	UNSPECIFIED	UNSPECIFIED
Wielenberg, Christoph	Christoph.Wielenberg (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Villanova, Julie	European Synchrotron Radiation Facility (ESRF)	UNSPECIFIED	UNSPECIFIED
Requena, Guillermo	Guillermo.Requena (at) dlr.de	https://orcid.org/0000-0001-5682-1404	UNSPECIFIED

Date:

26 September 2024

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Synchrotron Tomographie, Semantische Segmentierung, Erklärbare KI, Unsicherheitsschätzung

Event Title:

MSE 2024

Event Location:

Darmstadt, Deutschland

Event Type:

national Conference

Event Start Date:

24 September 2024

Event End Date:

26 September 2024

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Components and Systems

DLR - Research area:

Aeronautics

DLR - Program:

L CS - Components and Systems

DLR - Research theme (Project):

L - Structural Materials and Design, L - Digital Technologies

Location:

Köln-Porz

Institutes and Institutions:

Institute of Materials Research > Metallic and Hybrid Materials

Deposited By:

Melching, David

Deposited On:

09 Oct 2024 09:35

Last Modified:

09 Oct 2024 09:35

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