Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Gustavo M Callico"'
Autor:
Alejandro Deniz-Garcia, Himar Fabelo, Antonio J Rodriguez-Almeida, Garlene Zamora-Zamorano, Maria Castro-Fernandez, Maria del Pino Alberiche Ruano, Terje Solvoll, Conceição Granja, Thomas Roger Schopf, Gustavo M Callico, Cristina Soguero-Ruiz, Ana M Wägner
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e44030 (2023)
The use of artificial intelligence (AI) and big data in medicine has increased in recent years. Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both individuals and health care professionals in the prevention and manag
Externí odkaz:
https://doaj.org/article/f4c3411e05344f27967eb2c53ae713fb
Autor:
Abian Hernandez-Guedes, Idafen Santana-Perez, Natalia Arteaga-Marrero, Himar Fabelo, Gustavo M. Callico, Juan Ruiz-Alzola
Publikováno v:
IEEE Access, Vol 10, Pp 124373-124386 (2022)
Data scarcity is a common and challenging issue when working with Artificial Intelligence solutions, especially those including Deep Learning (DL) models for tasks such as image classification. This is particularly relevant in healthcare scenarios, i
Externí odkaz:
https://doaj.org/article/5910d7d816ab4d8ea26a9afa17dad0c2
Autor:
Raquel Leon, Himar Fabelo, Samuel Ortega, Juan F. Piñeiro, Adam Szolna, Maria Hernandez, Carlos Espino, Aruma J. O’Shanahan, David Carrera, Sara Bisshopp, Coralia Sosa, Mariano Marquez, Jesus Morera, Bernardino Clavo, Gustavo M. Callico
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Currently, intraoperative guidance tools used for brain tumor resection assistance during surgery have several limitations. Hyperspectral (HS) imaging is arising as a novel imaging technique that could offer new capabilities to delineate bra
Externí odkaz:
https://doaj.org/article/d19c28d9d72448d1967396cf141a0410
Autor:
Giordana Florimbi, Himar Fabelo, Emanuele Torti, Samuel Ortega, Margarita Marrero-Martin, Gustavo M. Callico, Giovanni Danese, Francesco Leporati
Publikováno v:
IEEE Access, Vol 8, Pp 8485-8501 (2020)
Several causes make brain cancer identification a challenging task for neurosurgeons during the surgical procedure. The surgeons' naked eye sometimes is not enough to accurately delineate the brain tumor location and extension due to its diffuse natu
Externí odkaz:
https://doaj.org/article/3f5e3e80b3f14f7c8df919cf92db7001
Autor:
Beatriz Martinez-Vega, Mariia Tkachenko, Marianne Matkabi, Samuel Ortega, Himar Fabelo, Francisco Balea-Fernandez, Marco La Salvia, Emanuele Torti, Francesco Leporati, Gustavo M. Callico, Claire Chalopin
Publikováno v:
Sensors, Vol 22, Iss 22, p 8917 (2022)
Currently, one of the most common causes of death worldwide is cancer. The development of innovative methods to support the early and accurate detection of cancers is required to increase the recovery rate of patients. Several studies have shown that
Externí odkaz:
https://doaj.org/article/b2de83dbf14444d39ed556a08af9f2f5
Autor:
Samuel Ortega, Raul Guerra, Maria Diaz, Himar Fabelo, Sebastian Lopez, Gustavo M. Callico, Roberto Sarmiento
Publikováno v:
IEEE Access, Vol 7, Pp 122473-122491 (2019)
Currently, the use of hyperspectral imaging (HSI) for the inspection of microscopic samples is an emerging trend in different fields. The use of push-broom hyperspectral (HS) cameras against other HSI technologies is motivated by their high spectral
Externí odkaz:
https://doaj.org/article/8cfaf9c602dd44a1800f0be11cdcfe16
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:
Marco La Salvia, Emanuele Torti, Raquel Leon, Himar Fabelo, Samuel Ortega, Francisco Balea-Fernandez, Beatriz Martinez-Vega, Irene Castaño, Pablo Almeida, Gregorio Carretero, Javier A. Hernandez, Gustavo M. Callico, Francesco Leporati
Publikováno v:
Sensors, Vol 22, Iss 19, p 7139 (2022)
Cancer originates from the uncontrolled growth of healthy cells into a mass. Chromophores, such as hemoglobin and melanin, characterize skin spectral properties, allowing the classification of lesions into different etiologies. Hyperspectral imaging
Externí odkaz:
https://doaj.org/article/29cef25421c34983b8b190a74d80bdf9
Autor:
Marco La Salvia, Emanuele Torti, Raquel Leon, Himar Fabelo, Samuel Ortega, Beatriz Martinez-Vega, Gustavo M. Callico, Francesco Leporati
Publikováno v:
Sensors, Vol 22, Iss 16, p 6145 (2022)
In recent years, researchers designed several artificial intelligence solutions for healthcare applications, which usually evolved into functional solutions for clinical practice. Furthermore, deep learning (DL) methods are well-suited to process the
Externí odkaz:
https://doaj.org/article/b4fcbc24c37f41d4a3c8d93cce2a82cd