Realistic novel breast and breast cancer phantoms for the study of imaging and therapy ultrasound. - Fernando Arce; Lorenzo Leija; Arturo Vera; Mario Francisco Jesús Cepeda Rubio; Geshel David Guerrero López (CCE, 2014)

Dendrite Morphological Neural Networks trained by Differential Evolution. - Fernando Arce; Erik Zamora 001; Humberto Sossa; Ricardo Barrón (SSCI, 2016)

Dendrite Ellipsoidal Neuron. - Fernando Arce; Erik Zamora 001; Humberto Sossa (IJCNN, 2017)

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons. - Fernando Arce; Erik Zamora 001; Gerardo Hernández; Javier Mauricio Antelis; Humberto Sossa (MLDM (2), 2018)

Differential evolution training algorithm for dendrite morphological neural networks. - Fernando Arce; Erik Zamora 001; Humberto Sossa; Ricardo Barrón (Appl. Soft Comput., 2018)

Extracting medical events from clinical records using conditional random fields and parameter tuning for hidden Markov models. - Carolina Fócil Arias; Grigori Sidorov; Alexander F. Gelbukh; Fernando Arce (J. Intell. Fuzzy Syst., 2018)

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification. - Fernando Arce; Omar Mendoza-Montoya; Erik Zamora 001; Javier Mauricio Antelis; Humberto Sossa; Jessica Cantillo-Negrete; Rubén Isaac Cariño-Escobar; Luis G. Hernández; Luis Eduardo Falcón (MCPR, 2019)

Fully Convolutional Networks for Automatic Pavement Crack Segmentation. - Uriel González Escalona; Fernando Arce; Erik Zamora 001; Juan Humberto Sossa Azuela (Computación y Sistemas, 2019)

Dendrite ellipsoidal neurons based on k-means optimization. - Fernando Arce; Erik Zamora 001; Carolina Fócil Arias; Humberto Sossa (Evol. Syst., 2019)

Finding the Optimal Bit-Quad Patterns for Computing the Euler Number of 2D Binary Images Using Simulated Annealing. - Wilfrido Gómez-Flores; Humberto Sossa; Fernando Arce (MCPR, 2021)

Training an Artificial Neural Network to Compute the Euler Number of a 2-D Binary Image based on Vertex Chain Codification. - Juan Humberto Sossa Azuela; Fernando Arce; Wilfrido Gómez; Laura Lira (Int. J. Comb. Optim. Probl. Informatics, 2022)

Learning an artificial neural network to discover bit-quad-based formulas to compute basic object properties. - Fernando Arce; Wilfrido Gómez-Flores; Uriel Escalona; Humberto Sossa (Pattern Recognit., 2023)

Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission. - Elias Rosenblatt; Jonathan D. Cook; Graziella V. Direnzo; Evan H. Campbell Grant; Fernando Arce; Kim M. Pepin; F. Javiera Rudolph; Michael C. Runge; Susan Shriner; Daniel P. Walsh; Brittany A. Mosher (PLoS Comput. Biol., 2024)

A 3-D ranklet-based texture analysis approach to classify breast tumors in DCE-MRI volumes. - Wilfrido Gómez-Flores; Elisa Scalco; Fernando Arce (Biomed. Signal Process. Control., 2025)

Overborrowing, underborrowing, and macroprudential policy. - Fernando Arce; Julien Bengui; Javier Bianchi (J. Econ. Theory, 2025)