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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)
First peer-reviewed paper by ESR 1-15 (si apre in una nuova finestra)

First peerreviewed paper by ESR 115

Other (1)
Outreach activities performed by ESR1-15 (si apre in una nuova finestra)

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

Websites, patent fillings, videos etc. (1)
Website (si apre in una nuova finestra)

xCTing project website is up and running

Pubblicazioni

Peer reviewed articles (42)
Probability of detection applied to X-ray inspection using numerical simulations (si apre in una nuova finestra)

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

Superimposing Synthetic Defects into Real XCT Data and Segmentation-Based Comparison for Advanced Probability of Detection Evaluation (si apre in una nuova finestra)

Autori: Miroslav Yosifov, Bernhard Fröhler, Jan Sijbers, Jan De Beenhouwer, Johann Kastner, Christoph Heinzl
Pubblicato in: Journal of Nondestructive Evaluation, Numero 44, 2025, ISSN 0195-9298
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10921-025-01262-1

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27716

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27716

CT-based dimensional metrology developments in Brazil: Current status and outlook (si apre in una nuova finestra)

Autori: null null, Crhistian Raffaelo Baldo, null null, Thiago Linhares Fernandes
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27725

Improving CT reconstructions of multi-material assemblies by multi-position data fusion: a case study (si apre in una nuova finestra)

Autori: null null, Javier Sánchez Prieto, null null, Filippo Zanini, null null, Simone Carmignato
Pubblicato in: e-Journal of Nondestructive Testing, Numero 30, 2025, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/30730

New approach to enhance multi-material computed tomography reconstructions by selecting the optimal combination of scanning orientations for multiple scan fusion (si apre in una nuova finestra)

Autori: Javier Sánchez-Prieto, Filippo Zanini, Simone Carmignato
Pubblicato in: Journal of Manufacturing Processes, Numero 148, 2025, Pagina/e 88-98, ISSN 1526-6125
Editore: Elsevier BV
DOI: 10.1016/j.jmapro.2025.05.018

Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning (si apre in una nuova finestra)

Autori: Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 10, 2024, Pagina/e 953-968, ISSN 2333-9403
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/tci.2024.3414273

Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction (si apre in una nuova finestra)

Autori: Shi, Jiayang; Zhu, Junyi; Pelt, Daniël M.; Batenburg, K. Joost; Blaschko, Matthew
Pubblicato in: Transactions on Machine Learning Research, Numero 2, 2024, ISSN 2835-8856
Editore: DOAJ
DOI: 10.48550/arxiv.2405.02509

Porosity Prediction in Selective Laser Melting Combining Photodiode-based In-Process Monitoring and X-CT (si apre in una nuova finestra)

Autori: null null, Zhengrui Tao, null null, Aditi Thanki, null null, Louca Goossens, null null, Ann Witvrouw, null null, Bey Vrancken, null null, Wim Dewulf
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27717

Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI (si apre in una nuova finestra)

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

Resolution Enhancement by Variable Zoom Trajectory in X-Ray Computed Tomography (si apre in una nuova finestra)

Autori: Pavel Blažek, Alexander Suppes, Dominik Wolfschläger, Tomáš Zikmund, Jozef Kaiser, Robert H. Schmitt
Pubblicato in: Journal of Nondestructive Evaluation, Numero 43, 2024, ISSN 0195-9298
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10921-024-01093-6

Probability of detection applied to X-ray inspection using numerical simulations (si apre in una nuova finestra)

Autori: M. Yosifov, M. Reiter, S. Heupl, C. Gusenbauer, B. Fröhler, R. Fernández- Gutiérrez, J. De Beenhouwer, J. Sijbers, J. Kastner, C. Heinzl
Pubblicato in: Nondestructive Testing and Evaluation, Numero 37, 2022, Pagina/e 536-551, ISSN 1058-9759
Editore: Taylor & Francis
DOI: 10.1080/10589759.2022.2071892

The long journey to the training of a deep neural network for segmenting pores and fibers (si apre in una nuova finestra)

Autori: null null, Patrick Weinberger, null null, Miroslav Yosifov, null null, Bernhard Fröhler, null null, Johann Kastner, null null, Christoph Heinzl
Pubblicato in: e-Journal of Nondestructive Testing, Numero 27, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/26610

Source Design Optimization for Depth Image Reconstruction in X-ray Imaging (si apre in una nuova finestra)

Autori: Hamid Fathi, Tristan van Leeuwen
Pubblicato in: Mathematics, Numero 12, 2025, Pagina/e 1524, ISSN 2227-7390
Editore: MDPI AG
DOI: 10.3390/math12101524

Usage of 3D U-net Convolutional Neural Network for the inspection of aerospace components (si apre in una nuova finestra)

Autori: null null, Miroslav Yosifov, null null, Patrick Weinberger, null null, Bernhard Fröhler, null null, Bernhard Plank, null null, Johann Kastner, null null, Christoph Heinzl
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: 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 (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27726

Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI (si apre in una nuova finestra)

Autori: Miroslav Yosifov, Thomas Lang, Virginia Florian, Stefan Gerth, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
Pubblicato in: Journal of Nondestructive Evaluation, 2024, ISSN 0195-9298
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.21203/rs.3.rs-3913991/v1

The constrained split Bregman algorithm for enhancing the quality of image reconstruction and analysis in few-view computed tomography (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 29, 2024, ISSN 1435-4934
Editore: 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 (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 29, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/29228

Accuracy of fast CT dimensional measurements: a case study on an additively manufactured metal part (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 30, 2025, ISSN 1435-4934
Editore: 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 (si apre in una nuova finestra)

Autori: null null, Patrick Weinberger, null null, Miroslav Yosifov, null null, Bernhard Fröhler, null null, Johann Kastner, null null, Christoph Heinzl
Pubblicato in: e-Journal of Nondestructive Testing, Numero 27, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/26610

Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning (si apre in una nuova finestra)

Autori: Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 10, 2024, Pagina/e 953-968, ISSN 2333-9403
Editore: 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 (si apre in una nuova finestra)

Autori: Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Sven Gondrom-Linke, Patricio Guerrero, Wim Dewulf
Pubblicato in: CIRP Journal of Manufacturing Science and Technology, Numero 61, 2025, Pagina/e 336-352, ISSN 1755-5817
Editore: Elsevier BV
DOI: 10.1016/j.cirpj.2025.06.008

Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection (si apre in una nuova finestra)

Autori: Tianyuan Wang, Virginia Florian, Richard Schielein, Christian Kretzer, Stefan Kasperl, Felix Lucka, Tristan van van Leeuwen
Pubblicato in: Journal of Imaging, Numero 10, 2025, Pagina/e 208, ISSN 2313-433X
Editore: MDPI AG
DOI: 10.3390/jimaging10090208

Effect of detector in-plane rotation misalignment on dimensional measurements using helical CT acquisition. (si apre in una nuova finestra)

Autori: null null, Pavel Blažek, null null, Adam Břínek, null null, Trond Varslot, null null, Tomáš Zikmund, null null, Jozef Kaiser
Pubblicato in: e-Journal of Nondestructive Testing, Numero 27, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/26607

Resolution Enhancement by Variable Zoom Trajectory in X-Ray Computed Tomography (si apre in una nuova finestra)

Autori: Pavel Blažek, Alexander Suppes, Dominik Wolfschläger, Tomáš Zikmund, Jozef Kaiser, Robert H. Schmitt
Pubblicato in: Journal of Nondestructive Evaluation, Numero 43, 2024, ISSN 0195-9298
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10921-024-01093-6

NDTFlix: Collaborative Remote Analysis of X-ray Computed Tomography Datasets (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27702

Multi-stage deep learning artifact reduction for parallel-beam computed tomography (si apre in una nuova finestra)

Autori: Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg
Pubblicato in: Journal of Synchrotron Radiation, Numero 32, 2025, Pagina/e 442-456, ISSN 1600-5775
Editore: International Union of Crystallography (IUCr)
DOI: 10.1107/s1600577525000359

Distribution analysis in xCT data for identifying factors influencing uncertainty of repeated measurements (si apre in una nuova finestra)

Autori: null null, Lionel Kielhöfer, null null, Dominik Wolfschläger, null null, Robert H. Schmitt
Pubblicato in: e-Journal of Nondestructive Testing, Numero 30, 2025, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/31391

Self-supervised resolution enhancement for anisotropic volumes in edge illumination X-ray phase contrast micro-computed tomography (si apre in una nuova finestra)

Autori: Jiayang Shi, Louisa Brown, Amir R. Zekavat, Daniël M. Pelt, Charlotte K. Hagen
Pubblicato in: Tomography of Materials and Structures, Numero 7, 2025, Pagina/e 100046, ISSN 2949-673X
Editore: Elsevier BV
DOI: 10.1016/j.tmater.2024.100046

Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network (si apre in una nuova finestra)

Autori: Miroslav Yosifov, Patrick Weinberger, Bernhard Plank, Bernhard Fröhler, Markus Hoeglinger, Johann Kastner, Christoph Heinzl
Pubblicato in: Acta Polytechnica CTU Proceedings, Numero 42, 2023, Pagina/e 87-93, ISSN 2336-5382
Editore: 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 (si apre in una nuova finestra)

Autori: 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
Pubblicato in: e-Journal of Nondestructive Testing, Numero 30, 2025, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/30735

Unsupervised deep learning for defect detection on CT parts using simulated data (si apre in una nuova finestra)

Autori: null null, Virginia Florian, null null, Christian Kretzer, null null, Stefan Kasperl, null null, Richard Schielein, null null, Benjamin Montavon, null null, Robert H. Schmitt
Pubblicato in: Research and Review Journal of Nondestructive Testing, Numero 1, 2024, ISSN 2941-4989
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/28146

Towards industrially relevant total variation based reconstruction of few-view computed tomography by exploiting noise level estimation (si apre in una nuova finestra)

Autori: Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Sven Gondrom-Linke, Patricio Guerrero, Wim Dewulf
Pubblicato in: CIRP Journal of Manufacturing Science and Technology, Numero 61, 2025, Pagina/e 336-352, ISSN 1755-5817
Editore: Elsevier BV
DOI: 10.1016/j.cirpj.2025.06.008

Porosity Prediction in Selective Laser Melting Combining Photodiode-based In-Process Monitoring and X-CT (si apre in una nuova finestra)

Autori: null null, Zhengrui Tao, null null, Aditi Thanki, null null, Louca Goossens, null null, Ann Witvrouw, null null, Bey Vrancken, null null, Wim Dewulf
Pubblicato in: e-Journal of Nondestructive Testing, Numero 28, 2024, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/27717

Bayesian Uncertainty Quantification and Regularized Reconstruction for CT-Based Dimensional Metrology (si apre in una nuova finestra)

Autori: Negin Khoeiniha, Patricio Guerrero, Tristan van Leeuwen, Wim Dewulf
Pubblicato in: Journal of Nondestructive Evaluation, Numero 44, 2025, ISSN 0195-9298
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10921-025-01278-7

Multi-stage deep learning artifact reduction for parallel-beam computed tomography (si apre in una nuova finestra)

Autori: Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg
Pubblicato in: Journal of Synchrotron Radiation, Numero 32, 2025, Pagina/e 442-456, ISSN 1600-5775
Editore: International Union of Crystallography (IUCr)
DOI: 10.1107/s1600577525000359

Uncertainty quantification of CT regularized reconstruction within the Bayesian framework (si apre in una nuova finestra)

Autori: null null, Negin Khoeiniha, null null, Patricio Guerrero, null null, Wim Dewulf
Pubblicato in: e-Journal of Nondestructive Testing, Numero 30, 2025, ISSN 1435-4934
Editore: NDT.net GmbH & Co. KG
DOI: 10.58286/30731

Cross-Domain Graph Level Anomaly Detection (si apre in una nuova finestra)

Autori: Zhong Li, Sheng Liang, Jiayang Shi, Matthijs van Leeuwen
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, Numero 36, 2024, Pagina/e 7839-7850, ISSN 1041-4347
Editore: 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 (si apre in una nuova finestra)

Autori: Zhengrui Tao, Mirko Sinico, Bey Vrancken, Wim Dewulf
Pubblicato in: Virtual and Physical Prototyping, Numero 20, 2025, ISSN 1745-2759
Editore: Taylor & Francis
DOI: 10.1080/17452759.2025.2523550

Source Design Optimization for Depth Image Reconstruction in X-ray Imaging (si apre in una nuova finestra)

Autori: Hamid Fathi, Tristan van Leeuwen
Pubblicato in: Mathematics, Numero 12, 2025, Pagina/e 1524, ISSN 2227-7390
Editore: MDPI AG
DOI: 10.3390/math12101524

Conference proceedings (9)
Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components

Autori: Miroslav Yosifov, Patrick Weinberger, Bernhard Fröhler, Bernhard Plank, Johann Kastner, Christoph Heinzl
Pubblicato in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Editore: NDT.net

Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components (si apre in una nuova finestra)

Autori: Yosifov Miroslav; Weinberger Patrick; Fröhler Bernhard; Plank Bernhard; Kastner Johann; Heinzl Christoph
Pubblicato in: e-Journal of Nondestructive Testing, Numero 4, 2023
Editore: EJNT
DOI: 10.5281/zenodo.8098392

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

Autori: Miroslav Yosifov, Michael Reiter, Sarah Rendl, Christian Gusenbauer, Ricardo Fernández Gutiérrez, Johann Kastner, Christoph Heinzl
Pubblicato in: e-Journal of Nondestructive Testing (eJNDT), Numero 27(3), 2022, ISSN 1435-4934
Editore: NDT.net

AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution (si apre in una nuova finestra)

Autori: Wangduo Xie, Richard Schoonhoven, Tristan Van Leeuwen, Matthew B. Blaschko
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Pagina/e 3074-3083
Editore: IEEE
DOI: 10.1109/wacv61041.2025.00304

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

Autori: Crhistian Raffaelo Baldo, Thiago Linhares Fernandes
Pubblicato in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Editore: NDT.net

AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution (si apre in una nuova finestra)

Autori: Wangduo Xie, Richard Schoonhoven, Tristan Van Leeuwen, Matthew B. Blaschko
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Pagina/e 3074-3083
Editore: IEEE
DOI: 10.1109/wacv61041.2025.00304

Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping (si apre in una nuova finestra)

Autori: Tianyuan Wang, Felix Lucka, Daniël M. Pelt, K. Joost Batenburg, Tristan van Leeuwen
Pubblicato in: Computer Vision and Pattern Recognition, 2025
Editore: IEEE
DOI: 10.48550/arxiv.2503.12688v2

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

Autori: Maryam Bahrkazemi, Alexander Rohde, Jonathan Hess, Patricio Guerrero, Sven Gondrom-Linke, Wim Dewulf
Pubblicato in: e-Journal of Nondestructive Testing (eJNDT), 2023, ISSN 1435-4934
Editore: NDT.net

Graph Neural Networks Based Log Anomaly Detection and Explanation (si apre in una nuova finestra)

Autori: Zhong Li, Jiayang Shi, Matthijs van Leeuwen
Pubblicato in: ACM Digital Library, 2023
Editore: Elsevier BV
DOI: 10.2139/ssrn.4627217

Book chapters (3)
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction (si apre in una nuova finestra)

Autori: Wangduo Xie, Matthew B. Blaschko
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2024, Pagina/e 77-86
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43907-0_8

SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap (si apre in una nuova finestra)

Autori: Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg
Pubblicato in: Lecture Notes in Computer Science, Machine Learning in Medical Imaging, 2024, Pagina/e 52-61
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45673-2_6

Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction (si apre in una nuova finestra)

Autori: Wangduo Xie, Matthew B. Blaschko
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2024, Pagina/e 77-86
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43907-0_8

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