Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts

Informacje na temat projektu

xCTing

Identyfikator umowy o grant: 956172

DOI

10.3030/956172

Projekt został zamknięty

Data podpisania przez KE 27 Sierpnia 2020

Data rozpoczęcia 1 Marca 2021

Data zakończenia 31 Sierpnia 2025

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity

€ 3 810 064,28

Wkład UE

€ 3 810 064,28

Koordynowany przez

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (1)

First peer-reviewed paper by ESR 1-15

First peerreviewed paper by ESR 115

Other (1)

Outreach activities performed by ESR1-15

Report of xCTing outreach activities performed by ESR1-15. This is to be updated at Month 42.

Websites, patent fillings, videos etc. (1)

Website

xCTing project website is up and running

Publikacje

Peer reviewed articles (24)

Probability of detection applied to X-ray inspection using numerical simulations

Autorzy: M. Yosifov; M. Reiter; S. Heupl; C. Gusenbauer; B. Fröhler; R. Fernández- Gutiérrez; J. De Beenhouwer; J. Sijbers; J. Kastner; C. Heinzl
Opublikowane w: Nondestructive testing and evaluation, Numer 1, 2022, ISSN 1058-9759
Wydawca: Taylor & Francis
DOI: 10.6084/m9.figshare.19787122.v1

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations

Autorzy: null null, Miroslav Yosifov, null null, Patrick Weinberger, null null, Michael Reiter, null null, Bernhard Fröhler, null null, Jan De Beenhouwer, null null, Jan Sijbers, null null, Johann Kastner, null null, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing, Numer 28, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/27716

CT-based dimensional metrology developments in Brazil: Current status and outlook

Autorzy: null null, Crhistian Raffaelo Baldo, null null, Thiago Linhares Fernandes
Opublikowane w: e-Journal of Nondestructive Testing, Numer 28, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/27725

Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction

Autorzy: Shi, Jiayang; Zhu, Junyi; Pelt, Daniël M.; Batenburg, K. Joost; Blaschko, Matthew
Opublikowane w: Transactions on Machine Learning Research, Numer 2, 2024, ISSN 2835-8856
Wydawca: DOAJ
DOI: 10.48550/arxiv.2405.02509

Porosity Prediction in Selective Laser Melting Combining Photodiode-based In-Process Monitoring and X-CT

Autorzy: null null, Zhengrui Tao, null null, Aditi Thanki, null null, Louca Goossens, null null, Ann Witvrouw, null null, Bey Vrancken, null null, Wim Dewulf
Opublikowane w: e-Journal of Nondestructive Testing, Numer 28, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/27717

Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI

Autorzy: Miroslav Yosifov, Thomas Lang, Virginia Florian, Stefan Gerth, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
Opublikowane w: Journal of Nondestructive Evaluation, 2024, ISSN 1573-4862
Wydawca: Springer
DOI: 10.21203/rs.3.rs-3913991/v1

Source Design Optimization for Depth Image Reconstruction in X-ray Imaging

Autorzy: Hamid Fathi, Tristan van Leeuwen
Opublikowane w: Mathematics, Numer 12, 2025, Strona(/y) 1524, ISSN 2227-7390
Wydawca: MDPI AG
DOI: 10.3390/math12101524

Usage of 3D U-net Convolutional Neural Network for the inspection of aerospace components

Autorzy: null null, Miroslav Yosifov, null null, Patrick Weinberger, null null, Bernhard Fröhler, null null, Bernhard Plank, null null, Johann Kastner, null null, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing, Numer 28, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/27728

Total Variation regularized reconstruction for enhancing the quality of few-view industrial computed tomography applied to image analysis and metrology

Autorzy: null null, Maryam Bahrkazemi, null null, Alexander Rohde, null null, Jonathan Hess, null null, Patricio Guerrero, null null, Sven Gondrom-Linke, null null, Wim Dewulf
Opublikowane w: e-Journal of Nondestructive Testing, Numer 28, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/27726

The constrained split Bregman algorithm for enhancing the quality of image reconstruction and analysis in few-view computed tomography

Autorzy: null null, Maryam Bahrkazemi, null null, Alexander Rohde, null null, Johannes Fieres, null null, Jonathan Hess, null null, Patricio Guerrero, null null, Sven Gondrom-Linke, null null, Wim Dewulf
Opublikowane w: e-Journal of Nondestructive Testing, Numer 29, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/29237

LoDoInd: Introducing A Benchmark Low-dose Industrial CT Dataset and Enhancing Denoising with 2.5D Deep Learning Techniques

Autorzy: null null, Jiayang Shi, null null, Omar Elkilany, null null, Andreas Fischer, null null, Alexander Suppes, null null, Daniël M. Pelt, null null, K. Joost Batenburg
Opublikowane w: e-Journal of Nondestructive Testing, Numer 29, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/29228

Accuracy of fast CT dimensional measurements: a case study on an additively manufactured metal part

Autorzy: null null, Thiago Linhares Fernandes, null null, Miroslav Yosifov, null null, Maryam Bahrkazemi, null null, Filippo Zanini, null null, Wim Dewulf, null null, Simone Carmignato
Opublikowane w: e-Journal of Nondestructive Testing, Numer 30, 2025, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/30733

The long journey to the training of a deep neural network for segmenting pores and fibers

Autorzy: null null, Patrick Weinberger, null null, Miroslav Yosifov, null null, Bernhard Fröhler, null null, Johann Kastner, null null, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing, Numer 27, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/26610

Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning

Autorzy: Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
Opublikowane w: IEEE Transactions on Computational Imaging, Numer 10, 2024, Strona(/y) 953-968, ISSN 2333-9403
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/tci.2024.3414273

Towards industrially relevant total variation based reconstruction of few-view computed tomography by exploiting noise level estimation

Autorzy: Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Sven Gondrom-Linke, Patricio Guerrero, Wim Dewulf
Opublikowane w: CIRP Journal of Manufacturing Science and Technology, Numer 61, 2025, Strona(/y) 336-352, ISSN 1755-5817
Wydawca: Elsevier BV
DOI: 10.1016/j.cirpj.2025.06.008

Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection

Autorzy: Tianyuan Wang, Virginia Florian, Richard Schielein, Christian Kretzer, Stefan Kasperl, Felix Lucka, Tristan van van Leeuwen
Opublikowane w: Journal of Imaging, Numer 10, 2025, Strona(/y) 208, ISSN 2313-433X
Wydawca: MDPI AG
DOI: 10.3390/jimaging10090208

Resolution Enhancement by Variable Zoom Trajectory in X-Ray Computed Tomography

Autorzy: Pavel Blažek, Alexander Suppes, Dominik Wolfschläger, Tomáš Zikmund, Jozef Kaiser, Robert H. Schmitt
Opublikowane w: Journal of Nondestructive Evaluation, Numer 43, 2024, ISSN 0195-9298
Wydawca: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10921-024-01093-6

NDTFlix: Collaborative Remote Analysis of X-ray Computed Tomography Datasets

Autorzy: null null, Bernhard Fröhler, null null, Patrick Weinberger, null null, Alexander Gall, null null, Anja Heim, null null, Domink List, null null, Daniel Schwajda, null null, Christoph Anthes, null null, Ankit Kumar, null null, Johann Kastner, null null, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing, Numer 28, 2024, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/27702

Distribution analysis in xCT data for identifying factors influencing uncertainty of repeated measurements

Autorzy: null null, Lionel Kielhöfer, null null, Dominik Wolfschläger, null null, Robert H. Schmitt
Opublikowane w: e-Journal of Nondestructive Testing, Numer 30, 2025, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/31391

Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network

Autorzy: Miroslav Yosifov, Patrick Weinberger, Bernhard Plank, Bernhard Fröhler, Markus Hoeglinger, Johann Kastner, Christoph Heinzl
Opublikowane w: Acta Polytechnica CTU Proceedings, Numer 42, 2023, Strona(/y) 87-93, ISSN 2336-5382
Wydawca: Czech Technical University in Prague - Central Library
DOI: 10.14311/app.2023.42.0087

A Comparative Study of Supervised and Self-Supervised Denoising Techniques for Defect Segmentation in Industrial CT Imaging

Autorzy: null null, Virginia Florian, null null, Jiayang Shi, null null, Willem Jan Palestijn, null null, Daniël M. Pelt, null null, K. Joost Batenburg, null null, Thomas Lang, null null, Christoph Heinzl, null null, Christian Kretzer, null null, Stefan Kasperl, null null, Dominik Wolfschläger, null null, Robert H. Schmitt
Opublikowane w: e-Journal of Nondestructive Testing, Numer 30, 2025, ISSN 1435-4934
Wydawca: NDT.net GmbH & Co. KG
DOI: 10.58286/30735

Multi-stage deep learning artifact reduction for parallel-beam computed tomography

Autorzy: Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg
Opublikowane w: Journal of Synchrotron Radiation, Numer 32, 2025, Strona(/y) 442-456, ISSN 1600-5775
Wydawca: International Union of Crystallography (IUCr)
DOI: 10.1107/s1600577525000359

Cross-Domain Graph Level Anomaly Detection

Autorzy: Zhong Li, Sheng Liang, Jiayang Shi, Matthijs van Leeuwen
Opublikowane w: IEEE Transactions on Knowledge and Data Engineering, Numer 36, 2024, Strona(/y) 7839-7850, ISSN 1041-4347
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2024.3462442

High-fidelity surrogate modelling for geometric deviation prediction in laser powder bed fusion using in-process monitoring data

Autorzy: Zhengrui Tao, Mirko Sinico, Bey Vrancken, Wim Dewulf
Opublikowane w: Virtual and Physical Prototyping, Numer 20, 2025, ISSN 1745-2759
Wydawca: Taylor & Francis
DOI: 10.1080/17452759.2025.2523550

Conference proceedings (9)

Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components

Autorzy: Miroslav Yosifov, Patrick Weinberger, Bernhard Fröhler, Bernhard Plank, Johann Kastner, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Wydawca: NDT.net

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations

Autorzy: Miroslav Yosifov, Patrick Weinberger, Michael Reiter, Fröhler Bernhard, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Wydawca: NDT.net

Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components

Autorzy: Yosifov Miroslav; Weinberger Patrick; Fröhler Bernhard; Plank Bernhard; Kastner Johann; Heinzl Christoph
Opublikowane w: e-Journal of Nondestructive Testing, Numer 4, 2023
Wydawca: EJNT
DOI: 10.5281/zenodo.8098392

Probability of Detection applied to X-ray inspection using numerical simulations

Autorzy: Miroslav Yosifov, Michael Reiter, Sarah Rendl, Christian Gusenbauer, Ricardo Fernández Gutiérrez, Johann Kastner, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing (eJNDT), Numer 27(3), 2022, ISSN 1435-4934
Wydawca: NDT.net

The long journey to the training of a deep neural network for segmenting pores and fibers

Autorzy: Patrick Weinberger, Miroslav Yosifov, Bernhard Fröhler, Johann Kastner, Christoph Heinzl
Opublikowane w: e-Journal of Nondestructive Testing (eJNDT), Numer 27(3), 2022, ISSN 1435-4934
Wydawca: NDT.net

AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution

Autorzy: Wangduo Xie, Richard Schoonhoven, Tristan Van Leeuwen, Matthew B. Blaschko
Opublikowane w: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Strona(/y) 3074-3083
Wydawca: IEEE
DOI: 10.1109/wacv61041.2025.00304

CT-based dimensional metrology developments in Brazil: Current status and outlook

Autorzy: Crhistian Raffaelo Baldo, Thiago Linhares Fernandes
Opublikowane w: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Wydawca: NDT.net

Total Variation regularized reconstruction for enhancing the quality of few-view industrial computed tomography applied to image analysis

Autorzy: Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Patricio Guerrero, Sven Gondrom-Linke, Wim Dewulf
Opublikowane w: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Wydawca: NDT.net

Graph Neural Networks Based Log Anomaly Detection and Explanation

Autorzy: Zhong Li, Jiayang Shi, Matthijs van Leeuwen
Opublikowane w: ACM Digital Library, 2023
Wydawca: Elsevier BV
DOI: 10.2139/ssrn.4627217

Book chapters (1)

Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction

Autorzy: Wangduo Xie, Matthew B. Blaschko
Opublikowane w: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2024, Strona(/y) 77-86
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43907-0_8