Automatic enhancement of coronary arteries using convolutional gray-level templates and path-based metaheuristics. In Book: Recent Trends in Computational Intelligence Enabled Research, Elsevier. ISBN: 978-0-12-822844-9
DOI: https://doi.org/10.1016/B978-0-12-822844-9.00005-0
Binary descriptor design for the automatic detection of coronary arteries using metaheuristics. In Book: Advanced Machine Vision Paradigms for Medical Image Analysis, Elsevier. ISBN 978-0-12-819295-5.
DOI: https://doi.org/10.1016/B978-0-12-819295-5.00006-8
An unsupervised graph-based approach for the representation of coronary arteries in X-ray angiograms. In Book: Intelligent Multimedia Data Analysis, De Gruyter. ISBN 978-3-11-055207-2
Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection. In Book: Hybrid Metaheuristics for Image Analysis, Springer. ISBN 978-3-319-77624-8. DOI: 10.1007/978-3-319-77625-5
Automatic Detection of Coronary Artery Stenosis Using Bayesian Classification and Gaussian Filters Based on Differential Evolution. In Book: Hybrid Intelligence for Image Analysis and Understanding, Wiley. ISBN 978-1-119-24292-5
Parametric Object Detection Using Estimation of Distribution Algorithms. In Book: Hybrid Intelligent Techniques for Pattern Analysis and Understanding. CRC Press, Taylor and Francis Group. ISBN: 9781498769358
Bone Tissue Segmentation using Spiral Optimization and Gaussian Thresholding. In Book: Bio-Inspired Computing for Image and Video Processing, CRC Press, Taylor and Francis Group. ISBN: 9781498765923
Coronary Artery Segmentation and Width Estimation Using Gabor Filters and Evolutionary Computation Techniques. In Book: Hybrid Soft Computing for Image Segmentation, Springer. ISBN 978-3-319-47222. DOI 10.1007/978-3-319-47223-2_10
Segmentation of Coronary Angiograms Using a Vesselness Measure and Evolutionary Thresholding. In Book: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Springer-Verlag. ISBN 978-3-319-17746-5. DOI 10.1007/978-3-319-17747-2