| Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 376 | 2015 |
| Evaluation of segmentation methods on head and neck CT: auto‐segmentation challenge 2015 PF Raudaschl, P Zaffino, GC Sharp, MF Spadea, A Chen, BM Dawant, ... Medical physics 44 (5), 2020-2036, 2017 | 283 | 2017 |
| Waterpixels V Machairas, M Faessel, D Cárdenas-Peña, T Chabardes, T Walter, ... IEEE Transactions on Image Processing 24 (11), 3707-3716, 2015 | 130 | 2015 |
| Unsupervised kernel function building using maximization of information potential variability AM Álvarez-Meza, D Cárdenas-Peña, G Castellanos-Dominguez Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2014 | 43 | 2014 |
| Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI‐Based Dementia Diagnosis D Cárdenas-Peña, D Collazos-Huertas, G Castellanos-Dominguez Computational and mathematical methods in medicine 2016 (1), 9523849, 2016 | 32 | 2016 |
| Selection of time-variant features for earthquake classification at the Nevado-del-Ruiz volcano D Cárdenas-Peña, M Orozco-Alzate, G Castellanos-Dominguez Computers & geosciences 51, 293-304, 2013 | 31 | 2013 |
| Instance-based representation using multiple kernel learning for predicting conversion to Alzheimer disease D Collazos-Huertas, D Cárdenas-Peña, G Castellanos-Dominguez International journal of neural systems 29 (02), 1850042, 2019 | 26 | 2019 |
| Random fourier features-based deep learning improvement with class activation interpretability for nerve structure segmentation CA Jimenez-Castaño, AM Álvarez-Meza, OD Aguirre-Ospina, ... Sensors 21 (22), 7741, 2021 | 18 | 2021 |
| Classification of categorical data based on the chi-square dissimilarity and t-sne LAS Cardona, HD Vargas-Cardona, P Navarro González, ... Computation 8 (4), 104, 2020 | 18 | 2020 |
| A novel OpenBCI framework for EEG-based neurophysiological experiments YN Cardona-Álvarez, AM Álvarez-Meza, DA Cárdenas-Peña, ... Sensors 23 (7), 3763, 2023 | 16 | 2023 |
| Direct multiphase mesh generation from 3D images using anisotropic mesh adaptation and a redistancing equation JX Zhao, T Coupez, E Decencière, D Jeulin, D Cárdenas-Peña, L Silva Computer Methods in Applied Mechanics and Engineering 309, 288-306, 2016 | 16 | 2016 |
| Local binary fitting energy solution by graph cuts for MRI segmentation D Cardenas-Peña, JD Martínez-Vargas, G Castellanos-Dominguez 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 13 | 2013 |
| Enhanced data representation by kernel metric learning for dementia diagnosis D Cárdenas-Peña, D Collazos-Huertas, G Castellanos-Dominguez Frontiers in neuroscience 11, 413, 2017 | 12 | 2017 |
| Multiple-instance lasso regularization via embedded instance selection for emotion recognition J Caicedo-Acosta, D Cárdenas-Peña, D Collazos-Huertas, ... International Work-Conference on the Interplay Between Natural and …, 2019 | 11 | 2019 |
| Supported diagnosis of attention deficit and hyperactivity disorder from EEG based on interpretable kernels for hidden Markov models MC Maya-Piedrahita, PM Herrera-Gomez, L Berrío-Mesa, ... International journal of neural systems 32 (03), 2250008, 2022 | 10 | 2022 |
| Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models MC Maya-Piedrahita, D Cárdenas-Peña, AA Orozco-Gutierrez 2020 28th European Signal Processing Conference (EUSIPCO), 1205-1209, 2021 | 9 | 2021 |
| Multiple kernel stein spatial patterns for the multiclass discrimination of motor imagery tasks S Galindo-Noreña, D Cárdenas-Peña, Á Orozco-Gutierrez Applied Sciences 10 (23), 8628, 2020 | 9 | 2020 |
| Supervised kernel approach for automated learning using General Stochastic Networks D Cárdenas-Peña, D Collazos-Huertas, A Álvarez-Meza, ... Engineering Applications of Artificial Intelligence 68, 10-17, 2018 | 9 | 2018 |
| Kernel-based phase transfer entropy with enhanced feature relevance analysis for brain computer interfaces I De La Pava Panche, A Álvarez-Meza, PM Herrera Gómez, ... Applied Sciences 11 (15), 6689, 2021 | 8 | 2021 |
| A discriminative multi-output gaussian processes scheme for brain electrical activity analysis C Torres-Valencia, Á Orozco, D Cárdenas-Peña, A Álvarez-Meza, ... Applied Sciences 10 (19), 6765, 2020 | 7 | 2020 |
G. Castellanos-DominguezUniversidad Nacional de ColombiaVerified email at unal.edu.co
