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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, R. Salvador, F. Leporati, G. Danese, A. Báez-Quevedo, G. Callicó, E. Juárez, C. Sanz, and R. Sarmiento. Sensors, 18 (7): 2314 (2018)

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Giordana Fabi

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Exploiting multi-core and many-core architectures for efficient simulation of biologically realistic models of Golgi cells.G. Florimbi, E. Torti, S. Masoli, E. D'Angelo, G. Danese, and F. Leporati. J. Parallel Distributed Comput., (2019)The Human Brain Project: Parallel technologies for biologically accurate simulation of Granule cells.G. Florimbi, E. Torti, S. Masoli, E. D'Angelo, G. Danese, and F. Leporati. Microprocess. Microsystems, (2016)Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer.G. Florimbi, E. Torti, S. Masoli, E. D'Angelo, and F. Leporati. Frontiers Comput. Neurosci., (2021)Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification.M. Salvia, G. Secco, E. Torti, G. Florimbi, L. Guido, P. Lago, F. Salinaro, S. Perlini, and F. Leporati. Comput. Biol. Medicine, (2021)Acceleration of brain cancer detection algorithms during surgery procedures using GPUs.E. Torti, A. Fontanella, G. Florimbi, F. Leporati, H. Fabelo, S. Ortega, and G. Callicó. Microprocess. Microsystems, (2018)Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications.R. Lazcano, D. Madroñal, G. Florimbi, J. Sancho, S. Ramírez, R. León, H. Fabelo, S. Ortega, E. Torti, R. Salvador and 5 other author(s). IEEE Access, (2019)The Human Brain Project: High Performance Computing for Brain Cells Hw/Sw Simulation and Understanding.E. D'Angelo, G. Danese, G. Florimbi, F. Leporati, A. Majani, S. Masoli, S. Solinas, and E. Torti. DSD, page 740-747. IEEE Computer Society, (2015)GPU Parallelization of Realistic Purkinje Cells with Complex Morphology.E. Torti, S. Masoli, G. Florimbi, E. D'Angelo, M. Ticli, and F. Leporati. PDP, page 266-273. IEEE, (2019)Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms.G. Florimbi, H. Fabelo, E. Torti, S. Ortega, M. Marrero-Martin, G. Callicó, G. Danese, and F. Leporati. IEEE Access, (2020)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, R. Salvador, F. Leporati, G. Danese, A. Báez-Quevedo and 4 other author(s). Sensors, 18 (7): 2314 (2018)

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Disambiguation of "Florimbi, Giordana"

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Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images.

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Giordana Fabi

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Disambiguation

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Disambiguation of "Florimbi, Giordana"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images.

Please choose a person to relate this publication to

Giordana Fabi

Other publications of authors with the same name

Disambiguation

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Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images.