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Persistent Identifier
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perma:LIST.S5K2YU |
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Publication Date
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2026-07-06 |
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Title
| Segmenting Low-Contrast XCTs of Concretes: An Unsupervised Approach [* Cross-Reference *] |
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Other Identifier
| DataCite: https://doi.org/10.5281/zenodo.18684511 |
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Author
| Das, Kaustav (Czech Technical University in Prague) - ORCID: 0000-0002-3882-9282
Rauchs, Gaston (Luxembourg Institute of Science and Technology) - ORCID: 0000-0002-0159-9946
Sykora, Jan (Czech Technical University in Prague) - ORCID: 0000-0001-9566-9011
Kucerova, Anna (Czech Technical University in Prague) - ORCID: 0000-0002-5174-7695 |
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Point of Contact
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Use email button above to contact.
LIST QDKM (LIST) |
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Description
| This repository contains processed XCT scans of concrete, associated source code and model weights used in the paper "Segmenting Low-Contrast XCTs of Concretes: An Unsupervised Approach". (2026-03-04)
***This entry has been automatically imported via Datacite by LIST harvest scripts. Please refer to https://doi.org/10.5281/zenodo.18684511 for the original and latest version of the dataset and data downloads*** (2026-03-25) |
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Subject
| Computer and Information Science; Physics |
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Keyword
| Tomography, (MeSH)
Unsupervised Machine Learning (MeSH)
Semantic Segmentation
Convolutional Neural Network (CNN)
X-Ray |
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Related Publication
| References: (IsPartOf) arXiv:2603.00127
References: (HasVersion) 10.5281/zenodo.18684512 https://doi.org/10.5281/zenodo.18684512 |
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Funding Information
| Czech Science Foundation: 2-35755K ("SUMO")
Fonds National de la Recherche: INTER/GACR/21/16555380 a ("SUMO")
Czech Technical University in Prague: SGS23/152/OHK1/3T/11 ("SGS")
Ministry of Education Youth and Sports: CZ.02.01.01/00/23_020/0008487 ("INODIN") |
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Deposit Date
| 2026-03-04 |
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Data Type
| Dataset |