ERD

Outreach activities performed by ESR1-15

Project: xCTing

Updated at: 21-06-2024

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numer...

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

First peer-reviewed paper by ESR 1-15

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

Website

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

Periodic Reporting for period 1 - xCTing (Enabling X-ray CT based Industry 4.0 process chains by training Next Generatio...

Project: xCTing

Updated at: 28-04-2024

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Project acronym xCTing

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Outreach activities performed by ESR1-15

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

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numer...

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

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

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

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

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

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

First peer-reviewed paper by ESR 1-15

Website

Periodic Reporting for period 1 - xCTing (Enabling X-ray CT based Industry 4.0 process chains by training Next Generatio...