Miguel Angel Gil-Rios, Ivan Cruz Aceves, Arturo Hernández Aguirre, Maria D. Juarez-Ramirez, Método híbrido multiobjetivo para el diseño automático de arquitectura de red neuronal convolucional aplicada en la clasificación de casos de estenosis coronaria. Memorias de Proyecto: Supercómputo como motor de colaboración academia-industria, 2025. ISBN: 978-84-128987-4-3
Erick Franco-Gaona, Miguel-Angel Gil-Rios, Hiram-Efrain Orocio-Garcia, Ivan Cruz-Aceves, Maria-Susana Avila-Garcia,Chapter 4 - Neural architecture search using a quantum genetic algorithm for image classification,Editor(s): Siddhartha Bhattacharyya, Hiranmoy Roy, Jan Platoš, Leo Mršic, Balamurugan Balusamy,In Hybrid Computational Intelligence for Pattern Analysis and Understanding,Multilevel Quantum Metaheuristics,Academic Press,2026,Pages 67-94,ISBN 9780443331367
DOI: https://doi.org/10.1016/B978-0-443-33136-7.00004-9
Gonzalez-Valadez, U.A., García-Ramírez, R.A., Cruz-Aceves, I., Hernández-Aguirre, A. (2026). Automatic Multilabel Classification of Coronary Stenosis Using Lightweight Deep Learning Techniques. In: Lim, C.P., Jain, A., Jain, L.C. (eds) Artificial Intelligence in Diagnostics and Imaging Technologies in Healthcare. Intelligent Systems Reference Library, vol 281. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-031-98149-4_6
Orocio-García, H.E., Cruz-Aceves, I., Hernández-Aguirre, A. (2026). U-Net with Attention for the Automatic Segmentation of the Major Temporal Arcade in Retinal Fundus Images. In: Lim, C.P., Jain, A., Jain, L.C. (eds) Artificial Intelligence in Diagnostics and Imaging Technologies in Healthcare. Intelligent Systems Reference Library, vol 281. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-031-98149-4_3
Gonzalez-Valadez, U.A., García-Ramírez, R.A., Cruz-Aceves, I., Hernandez-González, M.A., Solorio-Meza, S.E. (2026). Automatic Spatial Localization of Coronary Stenosis in X-Ray Angiograms Using Deep Learning. In: Moya-Albor, E., Ponce, H., Brieva, J., Gomez-Coronel, S.L., Torres, D.R. (eds) Machine Learning Methods in Biomedical Field. Studies in Computational Intelligence, vol 1218. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-031-96328-5_5
García-Ramírez, R.A. et al. (2026). Deep Belief Networks for Efficient Macular Edema Detection in Retinal Fundus Images. In: Moya-Albor, E., Ponce, H., Brieva, J., Gomez-Coronel, S.L., Torres, D.R. (eds) Machine Learning Methods in Biomedical Field. Studies in Computational Intelligence, vol 1218. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-031-96328-5_4
Orocio-García, H.E., Franco-Gaona, E., Cruz-Aceves, I., Hernández-Aguirre, A., Chalopin, C. (2026). Measuring the Diameter of Coronary Arteries via Skeletonization Using a U-Net Architecture. In: Moya-Albor, E., Ponce, H., Brieva, J., Gomez-Coronel, S.L., Torres, D.R. (eds) Machine Learning Methods in Biomedical Field. Studies in Computational Intelligence, vol 1218. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-031-96328-5_3
Edited BySiddhartha Bhattacharyya, Ivan Cruz-Aceves, Arpan Deyasi, Pampa Debnath, Rajarshi Mahapatra. Intelligent Quantum Information Processing. 1st Edition, 2024. CRC Press. eISBN: 9781003373117
DOI: https://doi.org/10.1201/9781003373117
José Alfredo Soto-Álvarez, Iván Cruz-Aceves, Arturo Hernández-Aguirre, Martha Alicia Hernández-González, Luis Miguel López-Montero. Numerical Modeling of the Major Temporal Arcade Using a Quantum Genetic Algorithm. Intelligent Quantum Information Processing. 1st Edition, 2024. CRC Press. eISBN: 9781003373117
DOI: https://doi.org/10.1201/9781003373117
Erick Franco-Gaona, Iván Cruz-Aceves, Maria-Susana Avila-Garcia. Automatic Classification of Tables Using Hybrid Quantum Convolutional Neural Networks. Intelligent Quantum Information Processing. 1st Edition, 2024. CRC Press. eISBN: 9781003373117
DOI: https://doi.org/10.1201/9781003373117
Ovalle-Magallanes, E., Avina-Cervantes, J.G., Cruz-Aceves, I., Ruiz-Pinales, J. (2024). Optimal Deep Transfer Learning Models for Stenosis Detection in X-ray Angiography Images. In: Lim, CP., Vaidya, A., Jain, N., Mahorkar, U., Jain, L.C. (eds) Advances in Intelligent Disease Diagnosis and Treatment. Intelligent Systems Reference Library, vol 259. Springer, Cham. eISBN: 978-3-031-11170-9
DOI: https://doi.org/10.1007/978-3-031-65640-8_6
Deep Learning-based Coronary Stenosis Detection in X-ray Angiography Images: Overview and Future Trends. Springer. eISBN: 978-3-031-11170-9
DOI: https://doi.org/10.1007/978-3-031-11170-9
Numerical Modeling of the Major Temporal Arcade Using a Quantum Genetic Algorithm. Springer. eISBN: 978-981-19-9530-9
DOI: https://doi.org/10.1007/978-981-19-9530-9
Automatic Classification of Coronary Stenosis using Convolutional Neural Networks and Simulated Annealing. CRC Press. eISBN: 9781003215141
DOI: https://doi.org/10.1201/9781003215141
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