Extraction of Stationary Spectral Components Using Stochastic Variability. - David Cárdenas-Peña; Juan David Martínez-Vargas; Germán Castellanos-Domínguez (CIARP, 2012)

Extraction of stationary components in biosignal discrimination. - Juan David Martínez-Vargas; David Cárdenas-Peña; Germán Castellanos-Domínguez (EMBC, 2012)

Local binary fitting energy solution by graph cuts for MRI segmentation. - David Cárdenas-Peña; Juan David Martínez-Vargas; Germán Castellanos-Domínguez (EMBC, 2013)

Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano. - David Cárdenas-Peña; Mauricio Orozco-Alzate; Germán Castellanos-Domínguez (Comput. Geosci., 2013)

Unsupervised Kernel Function Building Using Maximization of Information Potential Variability. - Andrés Marino Álvarez-Meza; David Cárdenas-Peña; Germán Castellanos-Domínguez (CIARP, 2014)

Kernel-Based Image Representation for Brain MRI Discrimination. - David Cárdenas-Peña; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 2014)

Tensor-product kernel-based representation encoding joint MRI view similarity. - Andrés Marino Álvarez-Meza; David Cárdenas-Peña; Andrés Eduardo Castro-Ospina; Mauricio A. Álvarez; Germán Castellanos-Domínguez (EMBC, 2014)

Kernel-based Atlas Image Selection for brain tissue segmentation. - David Cárdenas-Peña; Mauricio Orbes-Arteaga; Germán Castellanos-Domínguez (EMBC, 2014)

Influence of anisotropic white matter modeling on EEG source localization. - E. Cuartas-Morales; David Cárdenas-Peña; Germán Castellanos-Domínguez (EMBC, 2014)

A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering. - David Cárdenas-Peña; Mauricio Orbes-Arteaga; Andrés Eduardo Castro-Ospina; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (ICPR, 2014)

Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. - Mauricio Orbes-Arteaga; David Cárdenas-Peña; Mauricio A. Álvarez; Álvaro Á. Orozco; Germán Castellanos-Domínguez (CIARP, 2015)

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. - Mauricio Orbes-Arteaga; David Cárdenas-Peña; Mauricio A. Álvarez; Álvaro Á. Orozco; Germán Castellanos-Domínguez (IbPRIA, 2015)

Information-Based Cost Function for a Bayesian MRI Segmentation Framework. - David Cárdenas-Peña; Álvaro Á. Orozco; Germán Castellanos-Domínguez (ICIAP (1), 2015)

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. - Mauricio Orbes-Arteaga; David Cárdenas-Peña; Mauricio A. Álvarez; Álvaro Á. Orozco; Germán Castellanos-Domínguez (ICIAP (1), 2015)

Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric. - David Cárdenas-Peña; Mauricio Orbes-Arteaga; Germán Castellanos-Domínguez (IWINAC (1), 2015)

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. - Esther E. Bron; Marion Smits; Wiesje M. van der Flier; Hugo Vrenken; Frederik Barkhof; Philip Scheltens; Janne M. Papma; Rebecca M. E. Steketee; Carolina Méndez Orellana; Rozanna Meijboom; Madalena Pinto; Joana R. Meireles; et al. (NeuroImage, 2015)

Waterpixels. - Vaïa Machairas; Matthieu Faessel; David Cárdenas-Peña; Théodore Chabardès; Thomas Walter 003; Etienne Decencière (IEEE Trans. Image Process., 2015)

Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis. - David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Germán Castellanos-Domínguez (Comput. Math. Methods Medicine, 2016)

MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis. - Diego Fabian Collazos-Huertas; A. Tobar-Rodriguez; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWINAC (1), 2017)

Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers. - Diego Fabian Collazos-Huertas; David Cárdenas-Peña; Germán Castellanos-Domínguez (CIARP, 2018)

EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems. - David Luna-Naranjo; Juana Valeria Hurtado-Rincón; David Cárdenas-Peña; V. H. Castro; Héctor Fabio Torres; Germán Castellanos-Domínguez (CIARP, 2018)

Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces. - Julian Caicedo-Acosta; Luisa Fernanda Velásquez-Martínez; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning. - Diego Fabian Collazos-Huertas; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery. - Daniel Guillermo García-Murillo; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks. - Camilo López-Montes; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks. - David Luna-Naranjo; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Detecting EEG Dynamic Changes Using Supervised Temporal Patterns. - Luisa Fernanda Velásquez-Martínez; F. Y. Zapata-Castaño; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 2018)

Supervised kernel approach for automated learning using General Stochastic Networks. - David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Eng. Appl. Artif. Intell., 2018)

Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification. - Luisa Fernanda Velásquez-Martínez; David Luna-Naranjo; David Cárdenas-Peña; Carlos Daniel Acosta-Medina; German A. Castaño; Germán Castellanos-Domínguez (BI, 2019)

Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images. - Daniel Guillermo García-Murillo; Andrés M. Álvarez; David Cárdenas-Peña; William Hincapie-Restrepo; Germán Castellanos-Domínguez (CIARP, 2019)

Supervised Relevance Analysis for Multiple Stein Kernels for Spatio-Spectral Component Selection in BCI Discrimination Tasks. - Camilo López-Montes; David Cárdenas-Peña; Germán Castellanos-Domínguez (CIARP, 2019)

Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition. - Julian Caicedo-Acosta; David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Jorge I. Padilla-Buritica; Germán Castaño Duque; Germán Castellanos-Domínguez (IWINAC (1), 2019)

HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves. - J. A. Hernández-Muriel; J. C. Mejía-Hernández; Julián D. Echeverry-Correa; Álvaro Á. Orozco; David Cárdenas-Peña (IWINAC (1), 2019)

Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease. - Diego Fabian Collazos-Huertas; David Cárdenas-Peña; Germán Castellanos-Domínguez (Int. J. Neural Syst., 2019)

CSP-based discriminative capacity index from EEG supporting ADHD diagnosis. - S. Galindo-Noreña; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (EUSIPCO, 2020)

Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models. - Maria Camila Maya-Piedrahita; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (EUSIPCO, 2020)

Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE. - Luis Ariosto Serna Cardona; Hernán Darío Vargas Cardona; Piedad Navarro González; David Augusto Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (Comput., 2020)

EEG representation approach based on Kernel Canonical Correlation Analysis highlighting discriminative patterns for BCI applications. - Viviana Gómez-Orozco; Cristian Blanco Martínez; David Augusto Cárdenas-Peña; Paula Marcela Herrera-Gómez; Álvaro Ángel Orozco-Guitiérrez (EMBC, 2021)

Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net. - Harold Mauricio Díaz-Vargas; Cristian Alfonso Jimenez Castaño; David Augusto Cárdenas-Peña; Oscar David Aguirre-Ospina; Álvaro-Ángel Orozco-Gutierrez (IWAIPR, 2021)

Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression. - Julián D. Pastrana-Cortes; Maria Camila Maya-Piedrahita; Paula Marcela Herrera-Gómez; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (IWAIPR, 2021)

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. - Cristian Alfonso Jimenez Castaño; Andrés Marino Álvarez-Meza; Oscar David Aguirre-Ospina; David Augusto Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (Sensors, 2021)

Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. - Andrés F. Valencia-Duque; David Cárdenas-Peña; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutierrez; Héctor Fabio Quintero Riaza (Sensors, 2021)

Brain Shape Correspondence Analysis Using Functional Maps. - Jonnatan Arias-Garcia; Hernán F. García; Álvaro Á. Orozco; Gloria L. Porras-Hurtado; David Cárdenas-Peña; Jorge Iván Ríos Patiño (ISVC (2), 2022)

Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models. - Maria Camila Maya-Piedrahita; Paula Marcela Herrera-Gómez; Laura Berrío-Mesa; David Augusto Cárdenas-Peña; Álvaro-Ángel Orozco-Gutiérrez (Int. J. Neural Syst., 2022)

Bayesian Iterative Closest Point for Shape Analysis of Brain Structures. - Mauricio Castaño; Hernán F. García; Álvaro Á. Orozco; Gloria L. Porras-Hurtado; David Augusto Cárdenas-Peña (ICPRAM, 2023)

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; David Augusto Cárdenas-Peña; Germán Albeiro Castaño Duque; César Germán Castellanos-Domínguez (Sensors, 2023)

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. - Yeison Nolberto Cardona-Álvarez; Andrés Marino Álvarez-Meza; David Augusto Cárdenas-Peña; Germán Albeiro Castaño Duque; Germán Castellanos-Domínguez (Sensors, 2023)

3D probe localization from 2D ultrasound images using an RFF-enhanced deep neural network. - W. Cárdenas-Bedoya; S. Gil-González; David Cárdenas-Peña; Julián Gil González; Álvaro-Ángel Orozco-Gutiérrez; Oscar David Aguirre-Ospina (EMBC, 2024)

Unsupervised Anomaly Detection by Learning Elastic Transformations Within an Autoencoder Approach. - Andrés Jiménez-García; Hernán F. García; David Augusto Cárdenas-Peña; W. Cárdenas-Bedoya; Gloria Liliana Porras-Hurtado; Álvaro Ángel Orozco-Guitérrez (EMBC, 2024)

Efficient Lung Segmentation from Chest Radiographs using Transfer Learning and Lightweight Deep Architecture. - J. C. Rendón-Atehortúa; David Cárdenas-Peña; Genaro Daza-Santacoloma; Álvaro-Ángel Orozco-Gutiérrez; O. Jaramillo-Robledo (EMBC, 2024)

Biogeographic Ancestry Analysis of Microtia Patients in Colombia using Nonlinear Probabilistic Clustering. - Javier A. Sierra-Pineda; Hernán F. García; Gloria Liliana Porras-Hurtado; Álvaro-Ángel Orozco-Gutiérrez; David Augusto Cárdenas-Peña; Daniela V. Luquetti (EMBC, 2024)

Breast Cancer Tissue Classification from Multiple Annotators using Chained Deep Learning Approaches. - Andrés Felipe Valencia-Duque; David Augusto Cárdenas-Peña; Julián Gil González; Álvaro-Ángel Orozco-Gutiérrez; Genaro Daza-Santacoloma (EMBC, 2024)

Kreĭn twin support vector machines for imbalanced data classification. - Cristian Jimenez Castaño; A. Álvarez-Meza; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutiérrez; J. Guerrero-Erazo (Pattern Recognit. Lett., 2024)

Dynamic Graph Analysis: A Hybrid Structural-Spatial Approach for Brain Shape Correspondence. - Jonnatan Arias-Garcia; Hernán F. García; Andrés Escobar-Mejía; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutiérrez (Mach. Learn. Knowl. Extr., 2025)