N. Hevia-Montiel, P. Haro, L. Guillermo-Cordero, and J. Perez-Gonzalez, "Deep Learning–Based Segmentation of Trypanosoma cruzi Nests in Histopatho- logical Images", (2023) Electronics, Vol. 12, No. 19, 1-17.
J. Bravo-Castillero, J. Caballero-Pérez, A. Haro, F. Heredia, N. Hevia- Montiel, M. Jorge, R. Medina-Esquivel, E. Molino-Minero-Re, J. Neme-Castillo, J. Pérez- González, J. Sánchez-Paz, and C. Valés-Pinzón, “Mathematical Modelling of Composite Phantoms for the Calibration of Ultrasound Devices”, (2023) Journal of Applied Research and Technology, Vol. 21, No. 2, 154-161.
P. Haro, N. Hevia-Montiel, and J. Perez-Gonzalez, “ECG Marker Evaluation for the Machine-Learning-Based Classification of Acute and Chronic Phases of Trypanosoma cruzi Infection in a Murine Model”, (2023) Tropical Medicine and Infectious Disease, Vol. 8, No. 3, 1-15.
L. Valdeolivar-Hernandez, M. Flores, J. Echeverria-Arjonilla, J. Perez-Gonzalez, and O. Piña-Ramirez, "Towards breastfeeding self-efficacy and postpartum depression estimation based on analysis of free-speech interviews through Natural Language Processing”, (2023) 18th International Symposium on Medical Information Processing and Analysis, 1-10, Valparaíso, Chile.
L. Gonzalez–Meza, J. Siqueiros–Garcia, N. Hevia–Montiel, J. Reyes–Lagos and J. Perez–Gonzalez, “Morphological Temporal Analysis in Subjects with Alzheimer’s Disease by Brain Graph Descriptors”, (2023) CNIB 2022, XLV Mexican Conference on Biomedical Engineering, 363-370, México.
M. Barreto, E. Cuan-Urquizo, J. Perez-Gonzalez, J. Huegel, “The use of conformal lattice metamaterials for relieving stress in lower limb sockets: A numerical and exploratory study”, (2022) Proceedings of the Institution of Me- chanical Engineers, Part H: Journal of Engineering in Medicine, Vol. 236, No. 11, 1-11.
N. Hevia-Montiel, J. Perez-Gonzalez, A. Neme, P. Haro, “Machine Learning- Based Feature Selection and Classification for the Experimental Diagnosis of Trypanosoma cruzi” (2022) Electronics, Vol. 11, No. 5, 1-20.
M. Barreto, J. Perez-Gonzalez, H. Herr, J. Huegel, “ARACAM: A RGB-D Multi-View Photogrammetry System for Lower Limb 3D Reconstruction Applications”, (2022) Sensors, Vol. 22, No. 7, 1-23.
A. Romero-Pacheco, J. Perez-Gonzalez, N. Hevia-Montiel,“ Estimating Echocardiographic Myocardial Strain of Left Ventricle with Deep Learning”, (2022) 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3891-3894, Gasglow, Reino Unido.
J. Perez-Gonzalez, L. Jiménez-Ángeles, K. Rojas, E. Barbará, V. Medina-Bañuelos, “Mild cognitive impairment classification using combined structural and diffusion imaging biomarkers”, (2021) Physics in Medicine & Biology, Vol. 55, No. 15, 1-12.
N. Hevia-Montiel, J. Perez-Gonzalez, A. Gallardo-Torres, M. Badillo-Aleman, X. Chiappa-Carrara, “Invariant morphological descriptors from otolith shape in environment automatic classification”, (2021) Journal of Applied Ichthyology, Vol. 37, 534-544.
A. Valdivia, B. Moreno, R. Valdés, C. Cardeña, C. Aguilar, N. Kerik, V. Medina- Bañuelos, and J. Perez-Gonzalez, "PET-MRI analysis to identify metabolic changes during Parkinson’s disease" (2021) 17th International Symposium on Medical Information Processing and Analysis, 1-7, Campinas, Brasil.
L. Juarez-Villalobos, N. Hevia-Montiel, and J. Perez-Gonzalez, “Machine Learning Based Classification of Local Robotic Surgical Skills in a Training Tasks Set”, (2021) 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4596-4599, Conferencia Virtual.
N. Sanchez-Patiño, A. Toriz-Vazquez, N. Hevia-Montiel, and J. Perez-Gonzalez, “Convolutional Neural Networks for Chagas Parasite Detection in Histopathological Images”, (2021) 43rd Annual International Conference of the IEEE Engi- neering in Medicine and Biology Society (EMBC) 2732-2735, Conferencia Virtual.
J. Bravo-Castillero, R. Caballero-Pérez, A. Haro Álvarez, F. Heredia López, N. Hevia- Montiel, M. del Carmen Jorge, R. Medina-Esquivel, E. Molino-Minero-Re, J. Neme Castillo, J. Pérez-González, J. Sánchez-Paz, and C. Vales-Pinzón, “Mathematical Modeling of a Simple Sandwich Compoosite for the Calibration of Ultrasound Devices for Medical Purposes”, (2021) 25th International Congress of Theoretical and Applied Mechanics, 22-27, Milano, Italy ISBN 978-83-65550-31-6.
J. Solis-Poot, J. Sanchez-Paz y J. Perez–Gonzalez, “Clasificación Automática de Sujetos con Deterioro Cognitivo Leve mediante la Caracterización Fractal 3D en Imágenes Cerebrales de Resonancia Magnética”, (2021) Memorias Del Congreso Nacional De Ingeniería Biomédica 2021, 53-56, México.
M. Martínez, J. Sanchez y J. Perez–Gonzalez, “Aprendizaje Computacional Para La Estimación Automática Del Peso Al Nacimiento Usando Variables Multimodales Materno-Fetales”, (2021) Memorias Del Congreso Nacional De Ingeniería Biomédica 2021, 61–64, México.
J. Perez-Gonzalez, F. Arámbula, J. Huegel, V. Medina-Bañuelos, “Probabilistic Learning Coherent Point Drift for 3D Ultrasound Fetal Head Registration”, (2020) Computational and Mathematical Methods in Medicine, Vol. 2020, 1-14.
E. Barbara-Morales, J. Perez-Gonzalez, K. Rojas-Saavedra and V. Medina-Bañuelos, "Evaluation of brain tortuosity measurement for the automatic multimodal classification of subjects with Alzheimer’s disease", (2020) Computational Intelligence and Neuroscience, Vol. 2020, 1-11.
J. Perez-Gonzalez, N. Hevia, V. Medina, “Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions”, (2020) Interna- tional Workshop on Preterm, Perinatal and Paediatric Image Analysis, Held in Conjunction with MICCAI, 305-314, Lima, Perú.
M. Barreto, J. Huegel, R. Fuentes, and J. Perez-Gonzalez, "Non-static Object Reconstruction System Based on Multiple RGB-D Cameras", (2020) Twelfth International Conference on Machine Vision (ICMV), 1-8, Amsterdam, Países Bajos.
A. Carrillo-Bermejo, N. Hevia-Montiel, E. Bribiesca, P. Haro, M. Rosado-Vallado, E. Gonzalez-Mejia and J. Perez-Gonzalez, "Slope Chain Code Based Characterization of Trypanosoma Cruzi in Blood Smear Images", (2020) Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 1-10, Medellín, Colombia.
J. Perez-Gonzalez, A. Carrillo-Bermejo, N. Hevia-Montiel, J. Huegel, "Retraining Random Forest Algorithm for Lower Limb Prosthesis Tracking using an RGB–D Camera", (2020) 15th International Symposium on Medical Information Processing and Analysis, 1-7, Medellín, Colombia.
C. Azamar–García, R. Valdés–Cristerna y J. Perez–Gonzalez, “Clasificación Automática de Sujetos con Alzheimer y Deterioro Cognitivo Leve Mediante la Extracción de Características de Deformación Cerebrales”, (2020) Memorias Del Congreso Nacional De Ingeniería Biomédica 2020, 109–116, México.
B. Moreno–Abad, A. Valdivia–Vargas, C. Cardeña–Arredondo, C. Aguilar–Palomeque, N. Kerik–Rotenberg, H. Martínez–Hernández, V. Medina–Bañuelos, R. Valdés– Cristerna y J. Perez–Gonzalez, “Comparación Morfológica de Subestructuras Cerebrales en Pacientes con Enfermedad de Parkinson y Sujetos Control Usando Imágenes de Resonancia Magnética”, (2020) Memorias Del Congreso Nacional De Ingeniería Biomédica 2020, 77–84, México.
J. Perez-Gonzalez, F. Luna-Madrigal and O. Piña-Ramirez, "Deep Learning Point Cloud Registration based on Distance Features", (2019) IEEE Latin America Transactions, Vol. 17, No. 12, 2053-2060.
J. Perez-Gonzalez, C. Azamar, O. Piña-Ramirez, "Automatic Classification of Alzheimer’s Disease based on CPD Brain Point Cloud Registration for Feature Extraction", (2019) 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 812-815, Berlín, Alemania.
O. Campos, J. Perez-Gonzalez, and V. Medina-Bañuelos, "Early Prediction of Weight at Birth Using Support Vector Regression", (2019) CLAIB-CNIB: VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering, 37-41, Cancún, México.
J. Perez-Gonzalez,, F. Arámbula-Cosío, M. Guzmán, L. Camargo, B. Gutierrez, D. Mateus, N. Navab, D. Mateus, and V. Medina-Bañuelos, "Spatial Compounding of 3D Fetal Brain Ultrasound Using Probabilistic Maps", (2018) Journal Ultrasound in Medicine & Biology, Volume 44, No. 1, 278-291.
M. Orozco, J. Perez-Gonzalez, F. Torres, C. García, S. Prieto, L. Camargo, M. Guzmán, and V. Medina-Bañuelos, "Characterization of uterine-cervix phantoms’ elasticity using texture features extracted from US images", (2018) 14th International Symposium on Medical Information Processing and Analysis, 1-8, Mazatlán, México.
D. Colín, J. Perez-Gonzalez, S. Prieto, L. Camargo, M. Guzmán, A. Delia, R. Valdés, and V. Medina-Bañuelos, "Fully automatic segmentation and measurement of the fetal femur", (2018) 14th International Symposium on Medical Information Processing and Analysis, 1-8, Mazatlán, Mexico.
F. Torres, B. Escalante-Ramírez, J. Perez-Gonzalez, R. Mora-Gutierrrez, A. Ponsich, S. Prieto, L. Camargo, and M. Guzmán, "Classification of abdominal ECG recordings for the identification of fetal risk using random forest and optimal feature selection", (2018) 14th International Symposium on Medical Information Processing and Analysis, 1-7, Mazatlán, Mexico.
J. Perez-Gonzalez, M. Fraga-Aguilar, R. Valdes-Cristerna, O. Yañez-Suárez, V. Medina-Bañuelos, and O. Piña-Ramirez "EEG Denoising Using Narrow–Band Independient Component Selection in Time Domain", (2017) IEEE International Conference on Systems, Man and Cybernetics (SMC), 1105-1109, Banff, Canadá.
J. Perez-Gonzalez, F. Arámbula, M. Guzmán, L. Camargo, B. Gutierrez, D. Mateus, N. Navab, and V. Medina-Bañuelos, "Ultrasound Fetal Brain Registration using Weighted Coherent Point Drift", (2017) 12th International Symposium on Medical Information Processing and Analysis, 1-7, Tandil, Argentina.
G. López, A. Sosa, O. Marrufo, O. Morales, J. Perez-Gonzalez and J. Jiménez "Hippocampal Segmentation using Mean Shift Algorithm", (2016) 12th International Symposium on Medical Information Processing and Analysis, 1-7. Tandil, Argentina.
J. Perez-Gonzalez, F. Arámbula, and V. Medina-Bañuelos, "Spatial Composition of US Images using Probabilistic Weighted Means", (2015) 11th International Symposium on Medical Information Processing and Analysis, 1-7, Cuenca, Ecuador.
J. Perez-Gonzalez, O. Yañez-Suárez, E. Bribiesca, F. Arámbula, J. Jiménez,and V. Medina-Bañuelos, "Description and classification of normal and pathological aging processes based on brain magnetic resonance imaging morphology measures", (2014) Journal of Medical Imaging SPIE, Vol. 1, No. 3, 1-7.
J. Perez-Gonzalez, J. Bello, M. Rolon, F. Arámbula-Cosío, and V. Medina-Bañuelos, "Automatic Fetal Head Measurements from Ultrasound Images using Optimal Ellipse Detection and Texture Maps", (2014) VI Latin American Congress on Biomedical Engineering, 329-332, Paraná, Argentina.
J. Perez-Gonzalez, O. Yanez-Suárez, and V. Medina-Bañuelos, "Classification of normal and pathological aging processes based on brain MRI morphology measures", (2014) Medical Imaging 2014: Image Processing, 1-6, San Diego, Estados Unidos de America.