OLIVIER RUKUNDO
Project Researcher
Fully Automatic Segmentation of Adenovirus in mini-Transmission Electron Microscopy Images (UEF). 3D Segmentation of Aortic Aneurysm in Magnetic Resonance Imaging Images (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, Project: Enhancing the Innovation Potential by Advancing the know-how on Biomedical Image Analysis (UEF)
- Diagnostic Imaging Center, Project: Development and Application of Pipelines for 3D Segmentation of Cardiovascular MR Images in a Cohort of Ascending Aortic Aneurysm Patients (UEF and KUH)
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