OLIVIER RUKUNDO
Project Researcher
Enhancing the Innovation Potential by Advancing the Know-How on Biomedical Image Analysis (UEF). Development and Application of a Semi-Automatic Aorta Segmentation Pipeline (UEF and KUH).
Contact info
Organization
Faculty of Health Sciences, A.I. Virtanen Institute for Molecular Sciences
olivier.rukundo@uef.fi
Phone
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Keywords
aorta segmentation
artificial intelligence
electronics
image analysis
image processing
visual computing
Research groups and research projects
Biomedical Image Analysis
Links
Publications
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Effect of the regularization hyperparameter on deep-learning-based segmentation in LGE-MRI. Rukundo, Olivier / Proceedings of SPIE: Optoelectronic Imaging and Multimedia Technology VIII. 2021. 2021
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Evaluation of deep-learning-based myocardial infarction quantification using Segment CMR software. Rukundo, Olivier / Proceedings of SPIE: Optoelectronic Imaging and Multimedia Technology VIII. 2021. 2021
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Rukundo, Olivier. 2021. Evaluation of Rounding Functions in Nearest Neighbor Interpolation International journal of computational methods 18 8: 2150024. 2021
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4x4 Census Transform. Rukundo, Olivier / 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP 2020). 2020. 2020
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Rukundo, Olivier. 2020. Non-Extra Pixel Interpolation International journal of image and graphics 20 4: 2050031. 2020
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Rukundo, Olivier; Pedersen, Marius; Hovde, Øistein. 2017. Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy Computational and mathematical methods in medicine 2017: 9813165. 2017