Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Raquel Lazcano Lopez
Categoría Investigador
CONTRATADO CON CARGO A PROYECTO UPM-OTT
Sexo:
M
Escuela UPM
C.I. T.SOFTWARE Y S. MULTIMEDIA (CITSEM)
Departamento:
NO ADSCRITOS/AS A DEPARTAMENTO EN EL DIA DE LA FECHA
Area Conocimiento
SIN AREA DE CONOCIMIENTO
Grupo de Investigación:
Sin grupo de investigación
Email (Directorio UPM)
raquel.lazcano
upm.es
Investigador no vigente en la UPM
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
1 Proyectos de I+D+i
1: (2017)
CERBERO: Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments
Difusión de Resultados de Investigación
11 Artículos en revistas
1: (2016)
Demo: HELICoiD Tool Demonstrator for Real-Time Brain Cancer Detection
2: (2017)
DETECTION OF HUMAN BRAIN CANCER IN PATHOLOGICAL SLIDES USING HYPERSPECTRAL IMAGES
3: (2017)
Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture
4: (2017)
SVM-based real-time hyperspectral image classifier on a manycore architecture
5: (2018)
Accelerating the K-Nearest neighbors filtering algorithm to optimize the real-time classification of human brain tumor in hyperspectral images
6: (2018)
Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing
7: (2018)
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation
8: (2018)
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation
9: (2018)
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons
10: (2018)
Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons
11: (2018)
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
1 Otras Publicaciones
1: (2017)
Thoughts on the benefits of FNL extensions for dynamic adaptation
15 Ponencia en Congresos
1: (2015)
Dimensionality reduction and endmember extraction for hyperspectral imaging using an RVC-CAL library
2: (2015)
RVC-CAL library for endmember and abundance estimation in hyperspectral image analysis
3: (2016)
Demo: HELICoiD tool demonstrator for real-time brain cancer detection
4: (2016)
Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform
5: (2016)
Integration of PCA and SVM on a Massively Parallel Processor Array (MPPA) platform applied to hyperspectral images
6: (2016)
Parallel implementation of a hyperspectral image linear SVM classifier using RVC-CAL
7: (2016)
Parallelism exploitation of a PCA algorithm for hyperspectral images using RVC-CAL
8: (2016)
Toward Efficient Embedded Implementations of KNN-based Spatial-Spectral Classification In Hyperspectral Imaging for Cancer Detection
9: (2017)
Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier
10: (2017)
HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection
11: (2017)
High-Level Design using Intel FPGA OpenCL: a Hyperspectral Imaging Spatial-Spectral Classifier
12: (2017)
Implementation of a spatial-spectral classification algorithm using medical hyperspectral images
13: (2017)
Parallel exploitation of a spatial-spectral classification approach for hyperspectral images on RVC-CAL
14: (2017)
Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform
15: (2018)
Automatic Instrumentation of Dataflow Applications using PAPI
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S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)
