| Automatic segmentation of whole-slide H&E stained breast histopathology images using a deep convolutional neural network architecture BM Priego-Torres, D Sanchez-Morillo, MA Fernandez-Granero, ... Expert Systems With Applications 151, 113387, 2020 | 69 | 2020 |
| Towards Real-Time Image Processing: A GPGPU Implementation of Target Identification DB Heras, F Argüello, JL Gómez, B Priego, JA Becerra Digital Image and Signal Processing for Measurement Systems, 235-265, 2022 | 33 | 2022 |
| Hyperspectral image segmentation through evolved cellular automata B Priego, D Souto, F Bellas, RJ Duro Pattern Recognition Letters 34 (14), 1648-1658, 2013 | 19 | 2013 |
| Combining molecular, imaging, and clinical data analysis for predicting cancer prognosis B Lobato-Delgado, B Priego-Torres, D Sanchez-Morillo Cancers 14 (13), 3215, 2022 | 16 | 2022 |
| 4DCAF: A temporal approach for denoising hyperspectral image sequences B Priego, RJ Duro, J Chanussot Pattern Recognition 72, 433-445, 2017 | 15 | 2017 |
| Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images BM Priego-Torres, B Lobato-Delgado, L Atienza-Cuevas, ... Expert Systems with Applications 193, 116471, 2022 | 12 | 2022 |
| GPU projection of ECAS-II segmenter for hyperspectral images based on cellular automata J López-Fandino, B Priego, DB Heras, F Argüello IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 9 | 2016 |
| Mixed reality educational environment for robotics AP García, GV Fernández, BMP Torres, F López-Peña 2011 IEEE International Conference on Virtual Environments, Human-Computer …, 2011 | 7 | 2011 |
| Automated mouse pupil size measurement system to assess locus coeruleus activity with a deep learning-based approach A Lara-Doña, S Torres-Sanchez, B Priego-Torres, E Berrocoso, ... Sensors 21 (21), 7106, 2021 | 5 | 2021 |
| An approach for the customized high-dimensional segmentation of remote sensing hyperspectral images B Priego, RJ Duro Sensors 19 (13), 2887, 2019 | 5 | 2019 |
| ECAS-II: A hybrid algorithm for the construction of multidimensional image segmenters B Priego, F Bellas, RJ Duro 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 5 | 2015 |
| Educational autonomous robotics setup using mixed reality AP García, GV Fernández, BMP Torres, F López-Peña 2011 7th International Conference on Next Generation Web Services Practices …, 2011 | 4 | 2011 |
| An ANN based hyperspectral waterway control and security system B Priego, D Souto, FL Peña, RJ Duro 2011 IEEE International Conference on Computational Intelligence for …, 2011 | 4 | 2011 |
| Portable Oxygen Therapy: Is the 6-Minute Walking Test Overestimating the Actual Oxygen Needs? D Sanchez-Morillo, A Lara-Doña, B Priego-Torres, M Morales-Gonzalez, ... Journal of Clinical Medicine 9 (12), 4007, 2020 | 3 | 2020 |
| Cellular automata-based image sequence denoising algorithm for signal dependent noise B Priego, RJ Duro, J Chanussot Biomedical Applications Based on Natural and Artificial Computing …, 2017 | 3 | 2017 |
| Spatio-temporal cellular automata-based filtering for image sequence denoising: Application to fluoroscopic sequences B Priego, MA Veganzones, J Chanussot, C Amiot, A Prieto, R Duro 2013 IEEE International Conference on Image Processing, 548-552, 2013 | 3 | 2013 |
| Unsupervised segmentation of hyperspectral images through evolved cellular automata B Priego, D Souto, F Bellas, RJ Duro Advances in Knowledge-Based and Intelligent Information and Engineering …, 2012 | 3 | 2012 |
| An autonomous scale ship model for parametric rolling towing tank testing MM González, ÁD Díaz, F Orjales, B Priego, FL Peña Advances in intelligent robotics and collaborative automation, 49-71, 2022 | 2 | 2022 |
| Amigo: a tool for the generation of synthetic hyperspectral images B Priego, R Duroy 2018 9th workshop on hyperspectral image and signal processing: evolution in …, 2018 | 2 | 2018 |
| A cellular automata‐based filtering approach to multi‐temporal image denoising B Priego, A Prieto, RJ Duro, J Chanussot Expert Systems 35 (2), e12235, 2018 | 2 | 2018 |
