251 citations · 404 across the 13 of their papers we have counts for
5 papers · 1 filter
Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software
Olivier Rukundo
This work evaluates deep learning-based myocardial infarction (MI) quantification using Segment cardiovascular magnetic resonance (CMR) software. Segment CMR software incorporates…
Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI
Olivier Rukundo
The extent to which the arbitrarily selected L2 regularization hyperparameter value affects the outcome of semantic segmentation with deep learning is demonstrated. Demonstrations…
Normalized Weighting Schemes for Image Interpolation Algorithms
Olivier Rukundo
Image interpolation algorithms pervade many modern image processing and analysis applications. However, when their weighting schemes inefficiently generate very unrealistic estimat…
Software Implementation of Optimized Bicubic Interpolated Scan Conversion in Echocardiography
Olivier Rukundo, Samuel E. Schmidt, Olaf T von Ramm
This paper introduces a novel approach leveraging objective image quality assessment (IQA) metrics to optimize the outcomes of traditional bicubic (BIC) image interpolation and int…
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation
Olivier Rukundo
A novel evaluation study of the most appropriate round function for nearest-neighbor (NN) image interpolation is presented. Evaluated rounding functions are selected among the five…