| A residual dense u-net neural network for image denoising J Gurrola-Ramos, O Dalmau, TE Alarcón IEEE Access 9, 31742-31754, 2021 | 161 | 2021 |
| A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method R Rodríguez, TE Alarcón, O Pacheco Computers in biology and medicine 35 (8), 665-686, 2005 | 44 | 2005 |
| A multi-disciplinary approach to remote sensing through low-cost UAVs G Calvario, B Sierra, TE Alarcón, C Hernandez, O Dalmau Sensors 17 (6), 1411, 2017 | 34 | 2017 |
| U-Net based neural network for fringe pattern denoising J Gurrola-Ramos, O Dalmau, T Alarcón Optics and Lasers in Engineering 149, 106829, 2022 | 31 | 2022 |
| Color segmentation applied to study of the angiogenesis. Part I RM Rodríguez, TE Alarcón, RW Navarro, LS Cuello Journal of Intelligent and Robotic Systems 34, 83-97, 2002 | 29 | 2002 |
| Segmentation of carbon nanotube images through an artificial neural network MCR Trujillo, TE Alarcón, OS Dalmau, A Zamudio Ojeda Soft Computing 21, 611-625, 2017 | 26 | 2017 |
| Blood vessel segmentation via neural network in histological images R Rodriguez, TE Alarcon, JJ Abad Journal of Intelligent and Robotic Systems 36, 451-465, 2003 | 20 | 2003 |
| An agave counting methodology based on mathematical morphology and images acquired through unmanned aerial vehicles G Calvario, TE Alarcón, O Dalmau, B Sierra, C Hernandez Sensors 20 (21), 6247, 2020 | 15 | 2020 |
| Selection and fusion of spectral indices to improve water body discrimination GC Sánchez, O Dalmau, TE Alarcón, B Sierra, C Hernández IEEE Access 6, 72952-72961, 2018 | 15 | 2018 |
| Linguistic color image segmentation using a hierarchical Bayesian approach TE Alarcón, JL Marroquín Color Research & Application: Endorsed by Inter‐Society Color Council, The …, 2009 | 12 | 2009 |
| A strategy for reduction of noise in segmented images. Its use in the study of angiogenesis RM Rodríguez, TEM Alarcón, IB Castellanos Journal of Intelligent and Robotic Systems 33, 99-112, 2002 | 12 | 2002 |
| A supervised segmentation algorithm for crop classification based on histograms using satellite images FE Oliva, OS Dalmau, TE Alarcón Human-Inspired Computing and Its Applications: 13th Mexican International …, 2014 | 11 | 2014 |
| MFCA: matched filters with cellular automata for retinal vessel detection O Dalmau, T Alarcon Advances in Artificial Intelligence: 10th Mexican International Conference …, 2011 | 10 | 2011 |
| Crop classification in satellite images through probabilistic segmentation based on multiple sources OS Dalmau, TE Alarcón, FE Oliva Sensors 17 (6), 1373, 2017 | 9 | 2017 |
| Bayesian scheme for interactive colourization, recolourization and image/video editing O Dalmau, M Rivera, T Alarcón Computer Graphics Forum 29 (8), 2372-2386, 2010 | 6 | 2010 |
| MADIP un novedoso método R Rodríguez, TE Alarcón, L Sánchez Rev de Información Científica y tecnológica 7 (1), 1023-172, 2002 | 6 | 2002 |
| Factorized U-net for retinal vessel segmentation J Gurrola-Ramos, O Dalmau, T Alarcón Mexican Conference on Pattern Recognition, 181-190, 2022 | 5 | 2022 |
| Color categorization models for color image segmentation T Alarcon, O Dalmau Advances in Low-Level Color Image Processing, 303-327, 2013 | 5 | 2013 |
| Kernel multilogit algorithm for multiclass classification O Dalmau, TE Alarcón, G González Computational Statistics & Data Analysis 82, 199-206, 2015 | 4 | 2015 |
| Classification of different vegetation types combining two information sources through a probabilistic segmentation approach FE Oliva, OS Dalmau, TE Alarcón, M De-La-Torre Advances in Artificial Intelligence and Its Applications: 14th Mexican …, 2015 | 4 | 2015 |
Oscar Dalmau CedeñoResearcher of Computer Science, CIMATAdresse e-mail validée de cimat.mx
