Juan A. Ramirez-Quintana

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 26

Top Topics

Object Detection

Spatial Filters

Background Modeling

Top Venues

Signal Image Video Process.

Biomed. Signal Process. Control.

Publications

Juan A. Ramirez-Quintana, José Manuel Macías-Macías, Graciela Ramírez Alonso, Mario I. Chacon Murguia, Luis F. Corral-Martinez
A novel Deep Capsule Neural Network for Vowel Imagery patterns from EEG signals. Biomed. Signal Process. Control. 81 (2023)
José Manuel Macías-Macías, Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia, Alejandro Antonio Torres García, Luis F. Corral-Martinez
Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network. Comput. Biol. Medicine 159 (2023)
Juan A. Ramirez-Quintana, Jesus H. Rios-Barrios, Mario I. Chacon Murguia, Carlos Arzate-Quintana, Alma Delia Corral Sáenz
Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples. MCPR (2023)
Armando Reyes-Esparza, Mario I. Chacon Murguia, Juan A. Ramirez-Quintana, Carlos Arzate-Quintana
Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation. MCPR (2023)
Alan Hernandez-Galvan, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana
A prototypical network for few-shot recognition of speech imagery data. Biomed. Signal Process. Control. 86 (Part A) (2023)
Juan A. Ramirez-Quintana, Raul Rangel-Gonzalez, Mario Ignacio Chacon Murguia, Graciela Ramírez Alonso
A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex. Cogn. Process. 23 (1) (2022)
José Manuel Macías-Macías, Juan A. Ramirez-Quintana, Alejandro A. Torres-García, Mario Ignacio Chacon Murguia
Recognition of P300 Wave and SSVEP using a Capsule Neural Network. CCE (2022)
Sebastián Rascón-Cervantes, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana, Manuel Montes-y-Gómez, Roberto López-Santillán
OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. MCPR (2022)
Juan A. Ramirez-Quintana, Ivan Acosta-Lara, Graciela Ramírez Alonso, Mario Ignacio Chacon Murguia, Alma Delia Corral Sáenz
A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images. MCPR (2022)
Juan A. Ramirez-Quintana, Luis Madrid-Herrera, Mario I. Chacon Murguia, Luis F. Corral-Martinez
Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes. Cogn. Comput. 13 (1) (2021)
Mario Ignacio Chacon Murguia, Andrea Rivero-Olivas, Juan A. Ramirez-Quintana
Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction. Signal Image Video Process. 15 (7) (2021)
Francisco Javier Alvarez-Prieto, Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana
Analysis of CNN Models to develop a New Appearance Model for Multiple-Object-Tracking. CCE (2020)
Mario Ignacio Chacon Murguia, Brenda E. Olivas-Padilla, Juan A. Ramirez-Quintana
A new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns. Signal Image Video Process. 14 (5) (2020)
Mario I. Chacon Murguia, Abimael Guzmán-Pando, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana
A novel instrument to compare dynamic object detection algorithms. Image Vis. Comput. 88 (2019)
Luis Madrid-Herrera, Mario Ignacio Chacon Murguia, Daniel A. Posada-Urrutia, Juan A. Ramirez-Quintana
Human Image Complexity Analysis Using a Fuzzy Inference System. FUZZ-IEEE (2019)
Juan A. Ramirez-Quintana, José Manuel Macías-Macías, Alma Delia Corral Sáenz, Mario I. Chacon Murguia
Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface. MCPR (2019)
Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana
Bio-inspired architecture for static object segmentation in time varying background models from video sequences. Neurocomputing 275 (2018)
Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia, Graciela María de Jesús Ramírez Alonso
Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping. Appl. Intell. 48 (12) (2018)
Graciela María de Jesús Ramírez Alonso, Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia
Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. Pattern Recognit. Lett. 96 (2017)
Brenda E. Olivas-Padilla, Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana
Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters. CCE (2017)
Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Graciela Ramírez Alonso
Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset. ICPR (2016)
Mario Ignacio Chacon Murguia, Oscar Alejandro Chavez-Montes, Juan A. Ramirez-Quintana
Background modeling on depth video sequences using self-organizing retinotopic maps. IJCNN (2016)
Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia, Alma Delia Corral Sáenz
Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model. MCPR (2016)
Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia
Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios. Pattern Recognit. 48 (4) (2015)
Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, David Urias-Zavala
Segmentation of video background regions based on a DTCNN-clustering approach. Signal Image Video Process. 9 (Supplement-1) (2015)
Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia
An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios. Neural Process. Lett. 42 (3) (2015)
Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia
Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences. IJCNN (2013)