Hybrid classical–quantum Convolutional Neural Network for stenosis detection in X-ray coronary angiography, Expert Systems with Applications 189, 116112
https://doi.org/10.1016/j.eswa.2021.116112
Segmentation of brain tumour in 3D Intraoperative Ultrasound imaging, The International Journal of Medical Robotics and Computer Assisted Surgery, Vol 17, (6)
https://doi.org/10.1002/rcs.2320
Image Encryption and Decryption System through a Hybrid Approach Using the Jigsaw Transform and Langton’s Ant Applied to Retinal Fundus Images, Axioms 10 (3), 215
https://doi.org/10.3390/axioms10030215
Automatic tissue segmentation of hyperspectral images in liver and head neck surgeries using machine learning, Artificial Intelligence Surgery 1 (1), 22-37.
https://aisjournal.net/article/view/4291
Automatic Feature Selection for Stenosis Detection in X-ray Coronary Angiograms,Mathematics 9 (19), 2471
https://doi.org/10.3390/math9192471
Transfer Learning for Stenosis Detection in X-ray Coronary Angiography. Mathematics 2020, 8(9), 1510
https://doi.org/10.3390/math8091510
Algorithmic Analysis of Vesselness and Blobness for Detecting Retinopathies Based on Fractional Gaussian Filters. Mathematics 2020, 8(5), 744.
https://doi.org/10.3390/math8050744
Cervantes-Sanchez, Fernando; Cruz-Aceves, Ivan; Hernandez-Aguirre, Arturo; Hernandez-Gonzalez, Martha A.; Solorio-Meza, Sergio E. 2019. "Automatic Segmentation of Coronary Arteries in X-ray Angiograms using Multiscale Analysis and Artificial Neural Networks." Appl. Sci. 9, no. 24: 5507. https://doi.org/10.3390/app9245507
[Additional information]
Conic sections fitting in disperse data using Differential Evolution. Applied Soft Computing, Elsevier. Volume 85, December 2019.
https://doi.org/10.1016/j.asoc.2019.105769
Determinación de la parábola de la vasculatura de la retina mediante un algoritmo computacional de segmentación. Nova Scientia (2019)
Processing of MRI images weighted in TOF for blood vessels analysis: 3-D Reconstruction. Computación y Sistemas, Vol. 23, No. 1, 2019, pp. 109–114. doi: 10.13053/CyS-23-1-3147
Sebastián Salazar-Colores, Ivan Cruz-Aceves, and Juan-Manuel Ramos-Arreguin "Single image dehazing using a multilayer perceptron," Journal of Electronic Imaging 27(4), 043022 (25 July 2018). https://doi.org/10.1117/1.JEI.27.4.043022
[Source code]
Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and expectation maximization. Applied Mathematics and Computation, Elsevier. Volume 339, Pages 568-587. https://doi.org/10.1016/j.amc.2018.07.057
A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms. Journal of Healthcare Engineering. Volume 2018, Article ID 5812059, 11 pages.
https://doi.org/10.1155/2018/5812059
Fast Parabola Detection Using Estimation of Distribution Algorithms. Computational and Mathematical Methods in Medicine. Volume 2017 (2017), Article ID 6494390, 13 pages. https://doi.org/10.1155/2017/6494390
Fusion of Intraoperative 3D B-mode and Contrast-Enhanced Ultrasound Data for Automatic Identification of Residual Brain Tumors. Applied Sciences. 2017, 7(4), 415. http://dx.doi.org/10.3390/app7040415
Coronary artery segmentation in X-ray angiograms using gabor filters and differential evolution. Applied Radiation and Isotopes, Elsevier. Vol. 138 pp. 18-24. https://doi.org/10.1016/j.apradiso.2017.08.007
Low Computational-Cost Footprint Deformities Diagnosis Sensor through Angles, Dimensions Analysis and Image Processing Techniques. Sensors 2017, 17(11), 2700. http://www.mdpi.com/1424-8220/17/11/2700
Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, S. Ivvan Valdez. On the performance of nature inspired algorithms for the automatic segmentation of coronary arteries using Gaussian matched filters. Applied Soft Computing, Elsevier. Vol. 46 pp. 665-676.
https://doi.org/10.1016/j.asoc.2016.01.030
Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data. Sensors. 16(4):497. doi: 10.3390/s16040497.
A novel Gaussian matched filter based on entropy minimization for automatic segmentation of coronary angiograms. Computers and Electrical Engineering. Elsevier. http://dx.doi.org/10.1016/j.compeleceng.2016.05.002
Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm. Computational Intelligence and Neuroscience. Hindawi. Volume 2016 (2016), Article ID 2420962, 9 pages. http://dx.doi.org/10.1155/2016/2420962
Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation. NeuroComputing. Elsevier. http://dx.doi.org/10.1016/j.neucom.2016.07.057
An estimation of distribution algorithm for the school bus routing problem with bus stop selection. DYNA New Technologies. http://dx.doi.org/10.6036/NT8118
Ivan Cruz-Aceves, Faraz Oloumi, Rangaraj M. Rangayyan, Juan G. Aviña-Cervantes, Arturo Hernandez-Aguirre. Automatic segmentation of coronary arteries using Gabor filters and thresholding based on multiobjective optimization. Biomedical Signal Processing and Control, Elsevier. Volume 25,2016,Pages 76-85, ISSN 1746-8094.
https://doi.org/10.1016/j.bspc.2015.11.001