Fernando Cervantes-Sanchez, Omar Villanueva, Palash Goyal, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Carlos Escamilla
"Searching a Differentiable Architecture for Large-Scale Video Classification", Research paper submitted to : 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), 22-27 May 2022, Singapore
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Feature space optimization for brain tissue classification in non-contrast computed tomography images. CU Sánchez-Guerrero, N Gordillo-Castillo, JM Mejía-Muñoz, B Mederos-Madrazo, I Cruz-Aceves. 2021 Mexican International Conference on Computer Science (ENC21)
Secure medical image encryption approach based on Langton's ant and jigsaw transform. Ernesto Moya-Albor, Andrés Romero-Arellano, Jorge Brieva, Ivan Cruz-Aceves, Juan Gabriel Avina-Cervantes, Martha Alicia Hernandez-Gonzalez, Luis Miguel Lopez-Montero. 17th International Symposium on Medical Information Processing and Analysis, SIPAIM 2021.
Fernando Cervantes-Sanchez, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Martha Alicia Hernandez-Gonzalez, and Sergio Eduardo Solorio-Meza "Deep learning for coronary artery segmentation in x-ray angiograms using a patch-based training", Proc. SPIE 11583, 16th International Symposium on Medical Information Processing and Analysis, 115830C (3 November 2020); https://doi.org/10.1117/12.2575961
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A novel method for the design of convolutional gray-level templates for the automatic detection of coronary arteries. In 15th International Symposium on Medical Information Processing and Analysis ( SIPAIM). Medellin, Colombia.
Automatic design of convolutional templates for the detection of coronary arteries using single-solution based Metaheuristics. In XIX International Symposium on Solid State Dosimetry (ISSSD-2019), Zacatecas, Mexico.
A new binary descriptor for the automatic detection of coronary arteries in X-ray angiograms. In 14th International Symposium on Medical Information Processing and Analysis, SIPAIM 2018. 24-26 Oct.
A Novel Evolutionary Morphological Descriptor for the Segmentation of Coronary Arteries. In 5th IEEE Latin American Conference on Computational Intelligence LA-CCI-2018, 7-9 Nov.
Enhancement of Vessels in Coronary Angiograms Using a Hessian Matrix Based on Grunwald-Letnikov Fractional Derivative. In Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology (ICBET '18). Pages 51-54. Bali, Indonesia — April 23 - 25, 2018.ISBN: 978-1-4503-6369-3. doi>10.1145/3208955.3208971
An Automatic Framework for the Graph-based Representation of Coronary Arteries. In International Conference on Applied Engineering (ICAppIE-2017), 25-27 Octubre de 2017. Yuriria, Guanajuato, Mexico.
ePyNN: a low cost embedded system for simulating Spiking Neural Networks. In 26th Annual Computational Neuroscience Meeting (CNS*2017), 15-20 July, 2017. Antwerp, Belgium. BMC Neuroscience 2017, 18(Suppl 1):60 DOI 10.1186/s12868-017-0372-1
Coronary Artery Segmentation in X-ray Angiograms using Gabor filters and Differential Evolution. In XVI International Symposium on Solid State Dosimetry. Mexico.
Automatic Bone Segmentation by a Gaussian Modeled Threshold. In 14th Mexican Symposium on Medical Physics. Mexico.
Automatic Detection of Coronary Artery Stenosis in X-ray Angiograms using Gaussian Filters and Genetic Algorithms. In 14th Mexican Symposium on Medical Physics. Mexico.
Automatic Coronary Artery Segmentation Based on Matched Filters and Estimation of Distribution Algorithms. In The 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV-2015). Las Vegas Nevada, USA. ISBN 1-60132-404-9
Segmentation of Coronary Angiograms using Rutherford-Appleton Thresholding. In International Conference on Applied Engineering (ICAppIE-2014), 27-28 Noviembre de 2014. Yuriria, Guanajuato, Mexico.