Dr. Olivier Rukundo Profile

Dr. Olivier Rukundo

SPIE Involvement:

Author

Area of Expertise:

Artificial Intelligence , Image Processing , Image Analysis , Deep Learning , Interpolation , Electronics

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Profile Summary

Researcher in Artificial Intelligence for Bio/Medical Image Analysis

Publications (7)

Proceedings Article | 9 October 2021 Poster + Paper

Effect of the regularization hyperparameter on deep-learning-based segmentation in LGE-MRI

Olivier Rukundo

Proceedings Volume 11897, 1189717 (2021) https://doi.org/10.1117/12.2601751

KEYWORDS: Image segmentation, Magnetic resonance imaging, Network architectures, Visualization, Medical imaging, MATLAB, Gadolinium, Artificial neural networks, Artificial intelligence

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Proceedings Article | 9 October 2021 Poster + Paper

Evaluation of deep-learning-based myocardial infarction quantification using Segment CMR software

Olivier Rukundo

Proceedings Volume 11897, 1189716 (2021) https://doi.org/10.1117/12.2601749

KEYWORDS: Image segmentation, Cardiovascular magnetic resonance imaging, Expectation maximization algorithms, Magnetic resonance imaging, Visualization, Strain analysis, Software development, Resonance enhancement, MATLAB, Heart

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Proceedings Article | 7 November 2018 Paper

Aliasing artefact index for image interpolation quality assessment

Olivier Rukundo, Samuel Schmidt

Proceedings Volume 10817, 108171E (2018) https://doi.org/10.1117/12.2503872

KEYWORDS: Image quality, Image interpolation, Image quality standards, Gold, Medical imaging, Algorithm development, Image analysis, Distance measurement, Molybdenum, Digital imaging

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Proceedings Article | 2 November 2018 Paper

Extrapolation for image interpolation

Olivier Rukundo, Samuel Schmidt

Proceedings Volume 10817, 108171F (2018) https://doi.org/10.1117/12.2504213

KEYWORDS: Image quality, Image interpolation, Ultrasonography, Algorithm development, Visualization, Image analysis, Reconstruction algorithms, Echocardiography, Optimization (mathematics), Health sciences

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Proceedings Article | 2 November 2018 Paper

Effects of rescaling bilinear interpolant on image interpolation quality

Olivier Rukundo, Samuel Schmidt

Proceedings Volume 10817, 1081715 (2018) https://doi.org/10.1117/12.2501549

KEYWORDS: Image quality, Image interpolation, Distortion, Ultrasonography, Visualization, Chemical elements, Image processing, Detection and tracking algorithms, Image quality standards, MATLAB

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Proceedings Article | 10 April 2018 Paper

Half-unit weighted bilinear algorithm for image contrast enhancement in capsule endoscopy

Olivier Rukundo

Proceedings Volume 10615, 106152Q (2018) https://doi.org/10.1117/12.2303397

KEYWORDS: Image enhancement, Endoscopy, Image quality, Visibility, Image contrast enhancement, RGB color model, Diagnostics, Matrices, Image processing, Endoscopes

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Proceedings Article | 21 July 2017 Paper

Effects of empty bins on image upscaling in capsule endoscopy

Olivier Rukundo

Proceedings Volume 10420, 104202P (2017) https://doi.org/10.1117/12.2281577

KEYWORDS: Endoscopy

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Showing 5 of 7 publications

Course Instructor

NON-SPIE: Artificial Intelligence for Image Processing and Analysis in Medical Imaging

The course offers the fundamentals of artificial intelligence in medical imaging with a focus on the major areas of medical image processing and medical image analysis methodologies that apply artificial intelligence in cardiology, gastroenterology,

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NON-SPIE: Artificial Intelligence for Image Processing and Analysis in Medical Imaging

The course offers the fundamentals of artificial intelligence (AI) in medical imaging with a focus on major areas of medical image processing and medical image analysis methodologies that apply AI in cardiology, gastroenterology, and beyond.

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