2020

Journal

  1. Curchoe CL, Malmsten J, Bormann C, Shafiee H, Farias AF, Mendizabal G, Chavez-Badiola A, Sigaras A, Alshubbar H, Chambost J, Jacques C. Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?. Fertility and Sterility. 2020 Nov 1;114(5):934-40.

  2. Curchoe CL, Farias AF, Mendizabal-Ruiz G, Chavez-Badiola A. Evaluating predictive models in reproductive medicine. Fertility and Sterility. 2020 Nov 1;114(5):921-6.

  3. León-Moreno LC, Castañeda-Arellano R, Aguilar-García IG, Desentis-Desentis MF, Torres-Anguiano E, Gutiérrez-Almeida CE, Najar-Acosta LJ, Mendizabal-Ruiz G, Ascencio-Piña CR, Dueñas-Jiménez JM, Rivas-Carrillo JD. Kinematic Changes in a Mouse Model of Penetrating Hippocampal Injury and Their Recovery After Intranasal Administration of Endometrial Mesenchymal Stem Cell-Derived Extracellular Vesicles. Frontiers in Cellular Neuroscience. 2020 Sep 10.

  4. Alejandro Chavez-Badiola, Adolfo Flores-Saiffe-Farías, Gerardo Mendizabal-Ruiz, Andrew J. Drakeley, Jacques Cohen,
    Embryo Ranking Intelligent Classification Algorithm (ERICA), an artificial intelligence clinical assistant with embryo ploidy and implantation predicting capabilities, Reproductive BioMedicine Online, 2020.

  5. J. Alejandro Morales, Román Saldaña, Manuel H. Santana-Castolo, Carlos E. Torres-Cerna, Ernesto Borrayo, Adriana P. Mendizabal-Ruiz, Hugo A. Vélez-Pérez, and Gerardo Mendizabal-Ruiz, Deep Learning for the Classification of Genomic Signals, Mathematcial Problems In Engineering, 2020.

  6. Chavez-Badiola, A., Farias, A. F. S., Mendizabal-Ruiz, G., Garcia-Sanchez, R., Drakeley, A. J., & Garcia-Sandoval, J. P. (2020). predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning. Scientific Reports, 10(1), 1-6

  7. G. Aguilar Garcia, J. M. Dueñas-Jiménez, L. Castillo, L. P. Osuna-Carrasco, B. De La Torre Valdovinos, R. Castañeda, J. R. L ópez-Ruiz, C. Toro-Castillo, M. Treviño, G. E. Mendizabal-Ruiz, et al., “Fictive scratching patterns in: brain cortex ablated, midculicu- lar decerebrate and spinal cats,” Frontiers in Neural Circuits, vol. 14, p. 1, 2020. 

  8. Mendizabal-Ruiz, E. G. (2020). A Method for Evaluating the Risk of Exposure to COVID-19 by Using Location Data. Mexican Journal of Biomedical Engineering, 42(1), 27-35.

2019

Book Chapter

  1. E. Gerardo Mendizabal-Ruiz and Ioannis A. Kakadiaris, "differential imaging for the detection of extra-luminal blood perfusion due to vasa vasorum", Trends and challenges in vascular and intravascular imaging and analysis, petia radeva and jasjit s. Suri. 2019 

Journal

  1. M. d. l. L. Galván-Ramírez, A. G. Salas-Lais, S. H. Dueñas-Jiménez, G. Mendizabal-Ruiz, R. Franco Topete, S. C. Berumen-Sol ís, L. R. Rodríguez P ́erez, and K. Franco Topete, “Kinematic locomotion changes in c57bl/6 mice infected with toxoplasma strain me49,” Microor- ganisms, vol. 7, no. 11, p. 573, 2019.

  2. V. Ocegueda. and G. Mendizabal-Ruiz, “Intuitive slice-based exploration of volumetric medical data,” Revista de la Sociedad Mexicana de Ingeniería Biomédica, 2019

 Conference

  1. Chavez-Badiola, A. F.-S. Farias, G. Mendizabal-Ruiz, A. J. Drakeley, R. Garcia-Sánchez, and J. J. Zhang, “Artificial vision and machine learning designed to predict pgt-a results,” Fertility and Sterility, vol. 112, no. 3, p. e231, 2019. 

  2. Chavez-Badiola, A. F.-S. Farias, G. Mendizabal-Ruiz, R. Garcia-Sanchez, and A. J. Drake- ley, “Development and preliminary validation of an automated static digital image analysis system utilizing machine learning for blastocyst selection,” Fertility and Sterility, vol. 112, no. 3, pp. e149–e150, 2019. 

  3. A. Chavez-Badiola, G. Mendizabal-Ruiz, V. Ocegueda-Hernandez, A. F.-S. Farias, and A. J. Drakeley, “Deep learning for automatic determination of blastocyst embryo development stage,” Fertility and Sterility, vol. 112, no. 3, p. e273, 2019. 

  4. C. Ascencio-Pin ̃a, M. P ́erez-Cisneros, S. Duen ̃az-Jimenez, and G. Mendizabal-Ruiz, “A sytem for high-speed synchronized acquisition of video recording of rodents during locomotion,” in Latin American Conference on Biomedical Engineering, pp. 309–314, Springer, Cham, 2019. 

  5. I. R. A. Figueroa, J. V. M. Nun ̃o, and E. G. Mendizabal-Ruiz, “Remote optical estimation of respiratory rate based on a deep learning human pose detector,” in Latin American Conference on Biomedical Engineering, pp. 234–241, Springer, 2019

2018

Journal

  1. G. Mendizabal-Ruiz, I. Román-God ínez, S. Torres-Ramos, R. A. Salido-Ruiz, H. Vélez-Pérez, and J. A. Morales, “Genomic signal processing for dna sequence clustering,” PeerJ, vol. 6, p. e4264, 2018.

  2. S. I. Valdez, J. Gonz ́alez-Sandoval, S. Dueña-Jiménez, N. E. F. Rodríguez, S. Torres-Ramos, and G. Mendizabal-Ruiz, “Modeling hind-limb kinematics using a bio-inspired algorithm with a local search,” Biomedical engineering online, vol. 17, no. 1, p. 134, 2018

  3. A. A. González-Garrido, G. B. Gallardo-Moreno, R. Romo-Vázquez, H. Vélez-Pérez, A. Flores-Saiffe-Farías, G. Mendizabal-Ruiz, S. R. Santos-Arce, V. D. Ruiz-Stovel, F. R. G ́omez-Velázquez, and J. Ramos-Loyo, “Is sex an influential factor in type-1 diabetes neu- rofunctional development? a preliminary study,” Journal of neuroscience research, vol. 96, no. 10, pp. 1699–1706, 2018

 Conference

  1. R. Nava-Martínez, F. Gomez-Velazquez, G. Mendizabal-Ruiz, A. González-Garrido, H. Vélez- Pérez, and I. Vergara-Basulto, “Data mining for the analysis of eye tracking records,” in 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pp. 1–6, IEEE, 2018

  2. E. Mendizabal-Ruiz, V. Ayala-Bryant, C. Blanco-Ornelas, and Y. Aburto, “Método computacional para la clasificación automática de nevus cancerosos,” in Memorias del Congreso Nacional de Ingeniería Biomédica, vol. 5, pp. 182–185, 2018

  3. D. L ópez-Moreno, V. Arambula-Orta, and E. Mendizabal-Ruız, “Método computacional auxiliar en el diagnostico de cataratas a partir del an ́alisis del color de la pupila,” in Memorias del Congreso Nacional de Ingenier ́ıa Biomédica, vol. 5, pp. 226–229, 2018.

  4. G. Nava, C. Ramirez, and G. Mendizabal-Ruiz, “Seguimiento ocular para la interacción con el medio,” in Memorias del Congreso Nacional de Ingenier ́ıa Biom ́edica, vol. 5, pp. 482–485, 2018

  5. H. Gallardo, C. Paredes, A. Delgado, J. Magos, and G. Mendizabal-Ruiz, “Método computacional para cálculo de lordosis lumbar y detección de hernias discales a partir de imágenes de mri,” in Memorias del Congreso Nacional de Ingeniería Biomédica, vol. 5, pp. 230–233, 2018

2017

Journal

  1. G. Mendizabal-Ruiz, I. Roman-Godinez, S. Torres-Ramos, R. A. Salido-Ruiz, and J. A. Morales, “On DNA numerical representations for genomic similarity computation,” PloS one, vol. 12, no. 3, 2017.

  2. S. H. Duenas-Jimenez, L. Castillo Hernandez, B. de la Torre Valdovinos, G. Mendizabal Ruiz, J. M. Duenas Jimenez, V. Ramirez Abundis, and I. G. Aguilar Garcia, “Hind limb motoneurons activity during fictive locomotion or scratching induced by pinna stimulation, serotonin, or glutamic acid in brain cortex-ablated cats,” Physiological reports, vol. 5, no. 18, p. e13458, 2017.

  3. S. Torres-Ramos, I. Rom ́an-God ́ınez, and E. G. Mendizabal-Ruiz, “Un método asociativo para la desambiguacio ́n de sentidos de palabras basado en lesk,” Revista signos, vol. 50, no. 94, pp. 287–308, 2017. 

Conference

  1. G. B. Gallardo-Moreno, A. A. Gonzalez-Garrido, V. D. Ruiz-Stovel, H. Velez-Perez, R. Romo-Vazquez, G. Mendizabal-Ruiz, S. R. Santos-Arce, A. Flores-Saiffe-Farias, F. R. Gomez- Velazquez, and J. Ramos-Loyo, “Is gender an influential factor in type-1 diabetes neurofunc- tional evolution?,” in PSYCHOPHYSIOLOGY, vol. 54, pp. S87–S87, 2017. 

  2. J. Gonz ́alez-Sandoval, S. I. Valdez-Peña, S. Duen ̃as-Jim ́enez, and G. Mendizabal-Ruiz, “A bio-inspired algorithm for the quantitative analysis of hind limb locomotion kinematics of laboratory rats,” in International Conference on Bioinformatics and Biomedical Engineering, pp. 385–396, Springer, Cham, 2017.

  3. J. González-Sandoval, H. Vélez-Pérez, J. Melendez-Ruiz, and E. G. Mendizabal-Ruiz, “Avances en el desarrollo de una herramienta computacional de realidad aumentada con aplicaciones en odontología,” in Memorias del Congreso Nacional de Ingenier ́ıa Biom ́edica, vol. 2, pp. 115–118, 2017.

  4. I. Aguilar-Figueroa, J. Mart ́ınez-Nun ̃o, V. Silva-Acosta, and E. Mendiza ́bal-Ruiz, "Interacción con el Medio a través de Impulsos Táctiles,” in Memorias del Congreso Nacional de Ingenieríıa Biomédica, vol. 4, pp. 332–335, 2017.

  5. V. C. Ocegueda-Hern ́andez and E. G. Mendizabal-Ruiz, “Avances hacia el desarrollo de una interfaz natural e intuitiva para la exploraci ́on de datos volum ́etricos de origen médico,” in Memorias del Congreso Nacional de Ingenier ́ıa Biom ́edica, vol. 4, pp. 103–106, 2017

  6. C. Ascencio-Pin ̃a and G. Mendizabal-Ruiz, “Simulacio ́n de metabolismos y su interacci ́on con el medio,” in Memorias del Congreso Nacional de Ingenier ́ıa Biom ́edica, vol. 4, pp. 194–197, 2017

 

2016

Journal

  1. G. Mendizabal-Ruiz and I. A. Kakadiaris, “A physics-based intravascular ultrasound image reconstruction method for lumen segmentation,” Computers in biology and medicine, vol. 75, pp. 19–29, 2016

  2. Osuna-Carrasco, L.P., López-Ruiz, J.R., Mendizabal-Ruiz, E.G., De la Torre-Valdovinos, B., Bañuelos-Pineda, J., Jiménez-Estrada, I. and Dueñas-Jiménez, S.H.., “Quantitative analysis of hindlimbs locomotion kinematics in spinalized rats treated with tamoxifen plus treadmill exercise,” Neuroscience, vol. 333, pp. 151–161, 2016

  3. S. Torres-Ramos, I. Román-Godínez, and E. G. Mendizabal-Ruiz, “Unsupervised word sense disambiguation using alpha-beta associative memories,” Polibits, no. 54, pp. 43–51, 2016.

Conference

  1. V. Ocegueda-Hernández and G. Mendizabal-Ruiz, “Computational methods for the natural and intuitive visualization of volumetric medical data,” in Companion Publication of the 21st International Conference on Intelligent User Interfaces, pp. 54–57, 2016

 

2015

Book Chapter

  1. E. G. Mendizabal-Ruiz and I. A. Kakadiaris, “Computational methods for the analysis of intravascular ultrasound data,” in Frontiers of Medical Imaging, pp. 427–444, 2015.

Journal

  1. J. G. Sandoval, M. S. M. Alvarez, P. A. B. Rubalcava, S. Torres-Ramos, I. Román-Godínez, and E. G. Mendizabal-Ruiz, “Mapeo cromático dental a partir de imágenes digitales,” ReCIBE. Revista electr ́onica de Computacio ́n, Informa ́tica, Biom ́edica y Electr ́onica, no. 3, 2015

2014

Journal

  1. S. Balocco, C. Gatta, F. Ciompi, A. Wahle, P. Radeva, S. Carlier, G. Unal, E. Sanidas, J. Mauri, X. Carillo, et al., “Standardized evaluation methodology and reference database for evaluating ivus image segmentation,” Computerized medical imaging and graphics, vol. 38, no. 2, pp. 70–90, 2014.

  2. E. Borrayo, E. G. Mendizabal-Ruiz, H. V élez-P érez, R. Romo-Vázquez, A. P. Mendizabal, and J. A. Morales, “Genomic signal processing methods for computation of alignment-free distances from dna sequences,” PloS one, vol. 9, no. 11, 2014. 

2013

Journal

  1. E. G. Mendizabal-Ruiz, M. Rivera, and I. A. Kakadiaris, “Segmentation of the luminal border in intravascular ultrasound b-mode images using a probabilistic approach,” Medical image analysis, vol. 17, no. 6, pp. 649–670, 2013.

 

2012

Book Chapter

  1. A. Kakadiaris and E. G. M. Ruiz, “Cardiovascular informatics: A perspective on promises and challenges of ivus data analysis,” in Optimization and Data Analysis in Biomedical Informatics, pp. 117–130, Springer, New York, NY, 2012

Journal

  1. E. G Ruiz, T. G Papaioannou, M. Vavuranakis, C. Stefanadis, M. Naghavi, and I. A Kaka- diaris, “Analysis of contrast-enhanced intravascular ultrasound images for the assessment of coronary plaque neoangiogenesis: Another step closer to the identification of the vulnerable plaque,” Current pharmaceutical design, vol. 18, no. 15, pp. 2207–2213, 2012

Conference

  1. E. G. Mendizabal-Ruiz and I. A. Kakadiaris, “Probabilistic segmentation of the lumen from intravascular ultrasound radio frequency data,” in International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 454–461, Springer, Berlin, Heidel- berg, 2012.

 

2011

Conference

  1. E. G. Mendizabal-Ruiz, I. A. Kakadiaris, et al., “Towards extra-luminal blood detection from intravascular ultrasound radio frequency data,” in International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 396–403, Springer, Berlin, Heidelberg, 2011.

2009

Conference

  1. A. Kakadiaris, E. G. Mendizabal-Ruiz, U. Kurkure, and M. Naghavi, “Challenges and opportunities for extracting cardiovascular risk biomarkers from imaging data,” in Iberoamerican Congress on Pattern Recognition, pp. 227–235, Springer, Berlin, Heidelberg, 2009.

  2. I. Kakadiaris, U. Kurkure, E. Mendizabal-Ruiz, and M. Naghavi, “Towards cardiovascular risk stratification using imaging data,” in 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1918–1921, IEEE, 2009.

  3. E. G. Mendizabal-Ruiz, G. Biros, and I. A. Kakadiaris, “An inverse scattering algorithm for the segmentation of the luminal border on intravascular ultrasound data,” in International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 885–892, Springer, Berlin, Heidelberg, 2009.

 

2008

Conference

  1. A. Kakadiaris, U. Kurkure, E. G. Mendizabal-Ruiz, and M. Naghavi, “Quo vadis cardio- vascular informatics?,” in 2008 8th IEEE International Conference on BioInformatics and BioEngineering, pp. 1–6, IEEE, 2008.          

  2. E. G. Mendizabal-Ruiz and I. A. Kakadiaris, “One-class acoustic characterization applied to contrast agent detection in ivus,” in Workshop Organizers Gozde Unal, PhD, Sabanci University Ioannis A. Kakadiaris, PhD, University of Houston Nassir Navab, PhD, Technical University of Munich, p. 104, 2008.

  3. G. Mendizabal-Ruiz, M. Rivera, and I. A. Kakadiaris, “A probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images,” in 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8, IEEE, 2008.

 

2006

Conference

  1. G. Mendizabal-Ruiz and E. Mart ́ınez-Guerrero, “Software de an ́alisis de patrones de rheed para medici ́on in situ de velocidad de crecimiento y relajaci ́on de pel ́ıculas delgadas crecidas por epitaxia de haces moleculares,” Superficies y vac ́ıo, vol. 19, no. 2, pp. 18–22, 2006. 

 

Publicaciones