| Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations H Fabelo, S Ortega, D Ravi, BR Kiran, C Sosa, D Bulters, GM Callicó, ... PloS one 13 (3), e0193721, 2018 | 141 | 2018 |
| An intraoperative visualization system using hyperspectral imaging to aid in brain tumor delineation H Fabelo, S Ortega, R Lazcano, D Madroñal, G M. Callicó, E Juárez, ... Sensors 18 (2), 430, 2018 | 128 | 2018 |
| In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection H Fabelo, S Ortega, A Szolna, D Bulters, JF Piñeiro, S Kabwama, ... IEEE Access 7, 39098-39116, 2019 | 122 | 2019 |
| Implementation of the principal component analysis onto high-performance computer facilities for hyperspectral dimensionality reduction: Results and comparisons E Martel, R Lazcano, J López, D Madroñal, R Salvador, S López, ... Remote Sensing 10 (6), 864, 2018 | 54 | 2018 |
| Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture R Lazcano, D Madroñal, R Salvador, K Desnos, M Pelcat, R Guerra, ... Journal of Systems Architecture 77, 101-111, 2017 | 51 | 2017 |
| SVM-based real-time hyperspectral image classifier on a manycore architecture D Madroñal, R Lazcano, R Salvador, H Fabelo, S Ortega, GM Callicó, ... Journal of Systems Architecture 80, 30-40, 2017 | 48 | 2017 |
| Accelerating the K-nearest neighbors filtering algorithm to optimize the real-time classification of human brain tumor in hyperspectral images G Florimbi, H Fabelo, E Torti, R Lazcano, D Madroñal, S Ortega, ... Sensors 18 (7), 2314, 2018 | 38 | 2018 |
| High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier R Domingo, R Salvador, H Fabelo, D Madronal, S Ortega, R Lazcano, ... 2017 12th International Symposium on Reconfigurable Communication-centric …, 2017 | 29 | 2017 |
| Parallel implementations assessment of a spatial-spectral classifier for hyperspectral clinical applications R Lazcano, D Madroñal, G Florimbi, J Sancho, S Sanchez, R Leon, ... IEEE Access 7, 152316-152333, 2019 | 18 | 2019 |
| Automatic instrumentation of dataflow applications using PAPI D Madroñal, A Morvan, R Lazcano, R Salvador, K Desnos, E Juárez, ... Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018 | 18 | 2018 |
| Papify: Automatic instrumentation and monitoring of dynamic dataflow applications based on papi D Madronal, F Arrestier, J Sancho, A Morvan, R Lazcano, K Desnos, ... IEEE Access 7, 111801-111812, 2019 | 16 | 2019 |
| Hardware/software self-adaptation in CPS: the CERBERO project approach F Palumbo, T Fanni, C Sau, A Rodríguez, D Madroñal, K Desnos, ... Embedded Computer Systems: Architectures, Modeling, and Simulation: 19th …, 2019 | 16 | 2019 |
| A unified hardware/software monitoring method for reconfigurable computing architectures using PAPI L Suriano, D Madroñal, A Rodríguez, E Juárez, C Sanz, E de la Torre 2018 13th International Symposium on Reconfigurable Communication-centric …, 2018 | 16 | 2018 |
| Adaptation of an iterative PCA to a manycore architecture for hyperspectral image processing R Lazcano, D Madroñal, H Fabelo, S Ortega, R Salvador, GM Callicó, ... Journal of Signal Processing Systems 91, 759-771, 2019 | 15 | 2019 |
| HELICoiD: Interdisciplinary and collaborative project for real-time brain cancer detection R Salvador, S Ortega, D Madroñal, H Fabelo, R Lazcano, G Marrero, ... Proceedings of the Computing Frontiers Conference, 313-318, 2017 | 15 | 2017 |
| Generación de una librería RVC–CAL para la etapa de determinación de endmembers en el proceso de análisis de imágenes hiperespectrales D Madroñal Proyecto Fin de Grado, Escuela Técnica Superior de Ingeniería y Sistemas de …, 2014 | 15 | 2014 |
| Parallel implementation of a hyperspectral image linear SVM classifier using RVC-CAL D Madroñal, H Fabelo, R Lazcano, GM Callicó, E Juárez, C Sanz High-Performance Computing in Geoscience and Remote Sensing VI 10007, 52-60, 2016 | 13 | 2016 |
| Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier D Madroñal, R Lazcano, H Fabelo, S Ortega, R Salvador, GM Callicó, ... 2017 Conference on Design and Architectures for Signal and Image Processing …, 2017 | 12 | 2017 |
| Runtime multi-versioning and specialization inside a memoized speculative loop optimizer R Lazcano, D Madroñal, E Juarez, P Clauss Proceedings of the 29th International Conference on Compiler Construction …, 2020 | 11 | 2020 |
| Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform D Madroñal, R Lazcano, H Fabelo, S Ortega, GM Callicó, E Juárez, ... 2016 Conference on Design and Architectures for Signal and Image Processing …, 2016 | 11 | 2016 |
Eduardo JuarezAssistant Professor Tenured, Universidad Politécnica de Madrid, UPMDirección de correo verificada de upm.es
