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Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations., , , , , , , , , and 12 other author(s). CoRR, (2024)Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture., , , , , , , , , and 2 other author(s). J. Syst. Archit., (2017)Automatic instrumentation of dataflow applications using PAPI., , , , , , and . CF, page 232-235. ACM, (2018)High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier., , , , , , , , and . ReCoSoC, page 1-8. IEEE, (2017)Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons., , , , , , , , , and . CoRR, (2024)Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications., , , , , , , , , and 5 other author(s). IEEE Access, (2019)Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons., , , , , , , , , and . Remote. Sens., 10 (6): 864 (2018)Energy Consumption and Runtime Performance Optimizations Applied to Hyperspectral Imaging Cancer Detection., , , and . ISQED, page 1-8. IEEE, (2022)Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier., , , , , , , and . DASIP, page 1-6. IEEE, (2017)Demo: HELICoiD tool demonstrator for real-time brain cancer detection., , , , , , , and . DASIP, page 237-238. IEEE, (2016)