Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (IJCNN, 2013)

A neural bio-inspired scheme for head pose recognition. - Huber Eustacio Orozco Rodriguez; Mario Ignacio Chacon Murguia; Juan Alberto Ramirez-Quintana (SP/SPE, 2015)

An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Neural Process. Lett., 2015)

Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Pattern Recognit., 2015)

Segmentation of video background regions based on a DTCNN-clustering approach. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana; David Urias-Zavala (Signal Image Video Process., 2015)

Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, 2015)

Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana; Graciela Ramírez Alonso (ICPR, 2016)

Background modeling on depth video sequences using self-organizing retinotopic maps. - Mario Ignacio Chacon Murguia; Oscar Alejandro Chavez-Montes; Juan A. Ramirez-Quintana (IJCNN, 2016)

Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Alma Delia Corral Sáenz (MCPR, 2016)

Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters. - Brenda E. Olivas-Padilla; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (CCE, 2017)

Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. - Graciela María de Jesús Ramírez Alonso; Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Pattern Recognit. Lett., 2017)

Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Graciela María de Jesús Ramírez Alonso (Appl. Intell., 2018)

Bio-inspired architecture for static object segmentation in time varying background models from video sequences. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (Neurocomputing, 2018)

Human Image Complexity Analysis Using a Fuzzy Inference System. - Luis Madrid-Herrera; Mario Ignacio Chacon Murguia; Daniel A. Posada-Urrutia; Juan A. Ramirez-Quintana (FUZZ-IEEE, 2019)

Classification of Motor Imagery Using Statistical Models. - Eduardo Rivas-Posada; Mario Ignacio Chacon Murguia; Juan Alberto Ramirez-Quintana (CCE, 2019)

Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface. - Juan A. Ramirez-Quintana; José Manuel Macías-Macías; Alma Delia Corral Sáenz; Mario I. Chacon Murguia (MCPR, 2019)

A novel instrument to compare dynamic object detection algorithms. - Mario I. Chacon Murguia; Abimael Guzmán-Pando; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana (Image Vis. Comput., 2019)

Efficient Joined Pyramid Network Applied to Semantic Segmentation for GPU Embedded System. - Oscar Alejandro Soto-Orozco; Juan Alberto Ramirez-Quintana; Jesus Alonso Reyes-Porras; Alma Delia Corral Sáenz (CCE, 2020)

Analysis of CNN Models to develop a New Appearance Model for Multiple-Object-Tracking. - Francisco Javier Alvarez-Prieto; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (CCE, 2020)

Deep Learning Networks for Vowel Speech Imagery. - José Manuel Macías-Macías; Juan Alberto Ramirez-Quintana; Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (CCE, 2020)

A new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns. - Mario Ignacio Chacon Murguia; Brenda E. Olivas-Padilla; Juan A. Ramirez-Quintana (Signal Image Video Process., 2020)

Fuzzy Modular Neural Model for Blinking Coding Detection and Classification for Linguistic Expression Recognition. - Mario Ignacio Chacon Murguia; Carlos E. Cañedo-Figueroa; Juan A. Ramirez-Quintana (Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms, 2020)

Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes. - Juan A. Ramirez-Quintana; Luis Madrid-Herrera; Mario I. Chacon Murguia; Luis F. Corral-Martinez (Cogn. Comput., 2021)

Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction. - Mario Ignacio Chacon Murguia; Andrea Rivero-Olivas; Juan A. Ramirez-Quintana (Signal Image Video Process., 2021)

Recognition of P300 Wave and SSVEP using a Capsule Neural Network. - José Manuel Macías-Macías; Juan A. Ramirez-Quintana; Alejandro Antonio Torres García; Mario Ignacio Chacon Murguia (CCE, 2022)

A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images. - Juan A. Ramirez-Quintana; Ivan Acosta-Lara; Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia; Alma Delia Corral Sáenz (MCPR, 2022)

OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. - Sebastián Rascón-Cervantes; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana; Manuel Montes-y-Gómez; J. Roberto López-Santillán (MCPR, 2022)

A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex. - Juan A. Ramirez-Quintana; Raul Rangel-Gonzalez; Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso (Cogn. Process., 2022)

Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples. - Juan A. Ramirez-Quintana; Jesus H. Rios-Barrios; Mario I. Chacon Murguia; Carlos Arzate-Quintana; Alma Delia Corral Sáenz (MCPR, 2023)

Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation. - Armando Reyes-Esparza; Mario I. Chacon Murguia; Juan A. Ramirez-Quintana; Carlos Arzate-Quintana (MCPR, 2023)

A novel Deep Capsule Neural Network for Vowel Imagery patterns from EEG signals. - Juan A. Ramirez-Quintana; José Manuel Macías-Macías; Graciela Ramírez Alonso; Mario I. Chacon Murguia; Luis F. Corral-Martinez (Biomed. Signal Process. Control., 2023)

Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network. - José Manuel Macías-Macías; Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Alejandro Antonio Torres García; Luis F. Corral-Martinez (Comput. Biol. Medicine, 2023)

A prototypical network for few-shot recognition of speech imagery data. - Alan Hernandez-Galvan; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana (Biomed. Signal Process. Control., 2023)

Deep Neural Network Evaluation for Emotion Recognition through Facial Expressions Analysis. - Nirvana C. Amnarán-Orteza; Juan Alberto Ramirez-Quintana; Mario I. Chacon Murguia; Alma Delia Corral Sáenz (CCE, 2024)

Emotion Recognition Method Based on EEG Signal Processing, Simplified Inception Network and Discrete Model. - Juan A. Ramirez-Quintana; Felipe E. Garay Acuña; Mario Ignacio Chacon Murguia; Alejandro Antonio Torres García; Alma Delia Corral Sáenz (MICAI (2), 2024)

AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation. - Luis Madrid-Herrera; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (Soft Comput., 2024)

Deep Neural Networks and Log-Mel Spectrogram for Emotion Recognition Through Spanish Speech. - Juan A. Ramirez-Quintana; Ricardo S. Ang-Foster; Mario Ignacio Chacon Murguia; Abimael Guzmán-Pando; Alma Delia Corral Sáenz (MCPR, 2025)