Zobrazeno 1 - 10
of 678
pro vyhledávání: '"Salinas, Jose"'
Publikováno v:
In Burns August 2024 50(6):1513-1518
Autor:
ArabiDarrehDor, Ghazal, Tivay, Ali, Meador, Chris, Kramer, George C., Hahn, Jin-Oh, Salinas, Jose
Existing burn resuscitation protocols exhibit large variability in treatment efficacy. Hence, they must be further optimized based on comprehensive knowledge of burn pathophysiology. A physics-based mathematical model that can replicate physiological
Externí odkaz:
http://arxiv.org/abs/2110.13909
Autor:
ArabiDarrehDor, Ghazal, Tivay, Ali, Bighamian, Ramin, Meador, Chris, Kramer, George C., Hahn, Jin-Oh, Salinas, Jose
Publikováno v:
Burns, 47(2), pp.371-386 (2021)
This paper presents a mathematical model of blood volume kinetics and renal function in response to burn injury and resuscitation, which is applicable to the development and non-clinical testing of burn resuscitation protocols and algorithms. Prior m
Externí odkaz:
http://arxiv.org/abs/2110.11933
Introduction: Real-world data generated from clinical practice can be used to analyze the real-world evidence (RWE) of COVID-19 pharmacotherapy and validate the results of randomized clinical trials (RCTs). Machine learning (ML) methods are being use
Externí odkaz:
http://arxiv.org/abs/2107.10239
Autor:
Sánchez-García, Rubén E., Castilleja-Escobedo, Orlando, Salmón-Folgueras, Rodrigo, López-Salinas, José Luis
Publikováno v:
In Current Research in Food Science 2024 9
Autor:
González, Germán, Bustos, Aurelia, Salinas, José María, de la Iglesia-Vaya, María, Galant, Joaquín, Cano-Espinosa, Carlos, Barber, Xavier, Orozco-Beltrán, Domingo, Cazorla, Miguel, Pertusa, Antonio
In this work we present a method for the detection of radiological findings, their location and differential diagnoses from chest x-rays. Unlike prior works that focus on the detection of few pathologies, we use a hierarchical taxonomy mapped to the
Externí odkaz:
http://arxiv.org/abs/2006.05274
Autor:
Vayá, Maria de la Iglesia, Saborit, Jose Manuel, Montell, Joaquim Angel, Pertusa, Antonio, Bustos, Aurelia, Cazorla, Miguel, Galant, Joaquin, Barber, Xavier, Orozco-Beltrán, Domingo, García-García, Francisco, Caparrós, Marisa, González, Germán, Salinas, Jose María
This paper describes BIMCV COVID-19+, a large dataset from the Valencian Region Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19+ patients along with their radiological findings and
Externí odkaz:
http://arxiv.org/abs/2006.01174
Publikováno v:
Med. Image Anal., 66 (2020), 101797
We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes more than 160,000 images obtained from 67,000 patients that were interpre
Externí odkaz:
http://arxiv.org/abs/1901.07441
Autor:
Hernández-García, Sandra, Flores-García, Mirthala, Maldonado-Vega, María, Hernández, Gerardo, Meneses-Melo, Facundo, López-Vanegas, Nadia-Cristina, Calderón-Salinas, José-Víctor
Publikováno v:
In Environmental Toxicology and Pharmacology June 2023 100
Autor:
North, Decorian, Hones, Keegan M., Jenkins, Preston, Sipavicius, Edvinas, Zermeño Salinas, José L., Hao, Kevin A., Schoch, Bradley S., Wright, Thomas W., Gulotta, Lawrence V., King, Joseph J.
Publikováno v:
In Journal of Shoulder and Elbow Surgery April 2023 32(4):872-884