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Uncertainty Quantification for Deep Learning Segmentation Models of Anatomical Networks
Zepf, Kilian Maurus
(PhD Student)
Feragen, Aasa
(Main Supervisor)
Frellsen, Jes
(Supervisor)
Baumgartner, Christian Frederik
(Examiner)
Engan, Kjersti
(Examiner)
Cognitive Systems
Visual Computing
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/05/2021
→
23/09/2024
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Epistemic Uncertainty
Engineering
100%
Aleatoric Uncertainty
Engineering
100%
Computervision
Engineering
66%
Uncertainty Quantification
Engineering
66%
Integral Part
Engineering
33%
Medical Image
Engineering
33%
Bayesian Framework
Engineering
33%
Downstream Decisions
Keyphrases
25%
Research output
Publications per year
2024
2024
2024
1
Ph.D. thesis
Publications per year
Publications per year
Aleatoric and Epistemic Uncertainty in Image Segmentation
Zepf, K. M.,
2024
,
Technical University of Denmark
.
117 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Epistemic Uncertainty
100%
Aleatoric Uncertainty
100%
Neural Network
100%
Computervision
66%
Uncertainty Quantification
66%
202
Downloads (Pure)