Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniel Madroñal"'
Autor:
Himar Fabelo, Samuel Ortega, Daniele Ravi, B Ravi Kiran, Coralia Sosa, Diederik Bulters, Gustavo M Callicó, Harry Bulstrode, Adam Szolna, Juan F Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J-O'Shanahan, Sara Bisshopp, María Hernández, Abelardo Báez, Guang-Zhong Yang, Bogdan Stanciulescu, Rubén Salvador, Eduardo Juárez, Roberto Sarmiento
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193721 (2018)
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult. Since surgery is the common treatment for brain ca
Externí odkaz:
https://doaj.org/article/85e1a91a186f4ee281c8703ec8117738
Autor:
Giordana Florimbi, Himar Fabelo, Emanuele Torti, Raquel Lazcano, Daniel Madroñal, Samuel Ortega, Ruben Salvador, Francesco Leporati, Giovanni Danese, Abelardo Báez-Quevedo, Gustavo M. Callicó, Eduardo Juárez, César Sanz, Roberto Sarmiento
Publikováno v:
Sensors, Vol 18, Iss 7, p 2314 (2018)
The use of hyperspectral imaging (HSI) in the medical field is an emerging approach to assist physicians in diagnostic or surgical guidance tasks. However, HSI data processing involves very high computational requirements due to the huge amount of in
Externí odkaz:
https://doaj.org/article/cb674a1836624778bf0e48338635f419
Autor:
Ernestina Martel, Raquel Lazcano, José López, Daniel Madroñal, Rubén Salvador, Sebastián López, Eduardo Juarez, Raúl Guerra, César Sanz, Roberto Sarmiento
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 864 (2018)
Dimensionality reduction represents a critical preprocessing step in order to increase the efficiency and the performance of many hyperspectral imaging algorithms. However, dimensionality reduction algorithms, such as the Principal Component Analysis
Externí odkaz:
https://doaj.org/article/e568a7df3e2342a09f13ab8bc2a48d8d
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation
Autor:
Himar Fabelo, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo M. Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O’Shanahan, Sara Bisshopp, María Hernández, Jesús Morera, Daniele Ravi, B. Ravi Kiran, Aurelio Vega, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, Roberto Sarmiento
Publikováno v:
Sensors, Vol 18, Iss 2, p 430 (2018)
Hyperspectral imaging (HSI) allows for the acquisition of large numbers of spectral bands throughout the electromagnetic spectrum (within and beyond the visual range) with respect to the surface of scenes captured by sensors. Using this information a
Externí odkaz:
https://doaj.org/article/db7e15b19ddf4f34ba7943ac403c56eb
Publikováno v:
HiPEAC Vision 2023
Our world is becoming dependent on cyber-physical systems (CPS). This provides unprecedented innovation opportunities, but also represents unprecedented complexity. We need to design future CPS to make sure that they become human-centred and part of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::490a0c91f3b7d142ef669d2f5111f6cc
Autor:
Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Pineiro, Silvester Kabwama, Aruma J-O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. Ravi Kiran, Daniele Ravi, Raquel Lazcano, Daniel Madronal, Coralia Sosa, Carlos Espino, Mariano Marquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, Maria Hernandez, Gustavo M. Callico, Jesus Morera Molina, Bogdan Stanciulescu, Guang-Zhong Yang, Ruben Salvador Perea, Eduardo Juarez, Cesar Sanz, Roberto Sarmiento
Publikováno v:
IEEE Access, Vol 7, Pp 39098-39116 (2019)
The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral algorithms for medical applications is the lack of specific, publicly ava
Externí odkaz:
https://doaj.org/article/217d6dff322d472a81253ca6dd596240
Autor:
Raquel Lazcano, Daniel Madronal, Giordana Florimbi, Jaime Sancho, Sergio Sanchez, Raquel Leon, Himar Fabelo, Samuel Ortega, Emanuele Torti, Ruben Salvador, Margarita Marrero-Martin, Francesco Leporati, Eduardo Juarez, Gustavo M. Callico, Cesar Sanz
Publikováno v:
IEEE Access, Vol 7, Pp 152316-152333 (2019)
Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of information contained in these images makes difficult providing the surgeon with
Externí odkaz:
https://doaj.org/article/94353d2ee9bb4f96816524e256ce984c
Autor:
Daniel Madronal, Florian Arrestier, Jaime Sancho, Antoine Morvan, Raquel Lazcano, Karol Desnos, Ruben Salvador, Daniel Menard, Eduardo Juarez, Cesar Sanz
Publikováno v:
IEEE Access, Vol 7, Pp 111801-111812 (2019)
The widening of the complexity-productivity gap in application development witnessed in the last years is becoming an important issue for the developers. New design methods try to automate most designers tasks to bridge this gap. In addition, new Mod
Externí odkaz:
https://doaj.org/article/7f8f0f5e33ce4483b26f8f53b5b87a00
Publikováno v:
"FSP Workshop 2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::305c5ff94f34de832d4f1b4d50cc1080
Publikováno v:
Proceedings of the 2021 Drone Systems Engineering and Rapid Simulation and Performance Evaluation: Methods and Tools Proceedings
DroneSE/RAPIDO@HiPEAC
DroneSE/RAPIDO@HiPEAC
Smart and Precision Agriculture is nowadays already exploiting advanced drones and machinery, but it is foreseen that in the near future more complex and intelligent applications will be required to be brought on-board to improve qualitatively and qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8bb9931adc3f40f29f96318be523c5