Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Cristiana Carpinteiro"'
Autor:
Urša Blenkuš, Ana Filipa Gerós, Cristiana Carpinteiro, Paulo de Castro Aguiar, I. Anna S. Olsson, Nuno Henrique Franco
Publikováno v:
Animals, Vol 12, Iss 2, p 177 (2022)
Stress-induced hyperthermia (SIH) is a physiological response to acute stressors in mammals, shown as an increase in core body temperature, with redirection of blood flow from the periphery to vital organs. Typical temperature assessment methods for
Externí odkaz:
https://doaj.org/article/0174e82a9bd24e11b413c00ea7dde340
Autor:
Simão P. Faria, Cristiana Carpinteiro, Vanessa Pinto, Sandra M. Rodrigues, José Alves, Filipe Marques, Marta Lourenço, Paulo H. Santos, Angélica Ramos, Maria J. Cardoso, João T. Guimarães, Sara Rocha, Paula Sampaio, David A. Clifton, Mehak Mumtaz, Joana S. Paiva
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1309 (2021)
Forecasting COVID-19 disease severity is key to supporting clinical decision making and assisting resource allocation, particularly in intensive care units (ICUs). Here, we investigated the utility of time- and frequency-related features of the backs
Externí odkaz:
https://doaj.org/article/ca6e884962c44cc0b347d1076acdced8
Autor:
Maria João Cardoso, Angélica Ramos, Paulo H. Santos, Sara Rocha, João Tiago Guimarães, Joana S. Paiva, José F. Alves, Marta Lourenço, Simão P. Faria, Filipe Marques, Cristiana Carpinteiro, Vanessa Pinto, David A. Clifton, Sandra M. Rodrigues, Paula Sampaio, Mehak Mumtaz
Publikováno v:
Diagnostics
Diagnostics, Vol 11, Iss 1309, p 1309 (2021)
Volume 11
Issue 8
Diagnostics, Vol 11, Iss 1309, p 1309 (2021)
Volume 11
Issue 8
Forecasting COVID-19 disease severity is key to supporting clinical decision making and assisting resource allocation, particularly in intensive care units (ICUs). Here, we investigated the utility of time- and frequency-related features of the backs
Autor:
Marina Castro, Jaime S. Cardoso, Margarida Sampaio Fernandes, Tiago Freitas, Pedro Alves, Joana Rodrigues, João C. Monteiro, Cristiana Carpinteiro
Publikováno v:
Advances in Visual Computing ISBN: 9783319508344
ISVC (1)
ISVC (1)
With new trends like 3D and deep learning alternatives for face recognition becoming more popular, it becomes essential to establish a complete benchmark for the evaluation of such algorithms, in a wide variety of data sources and non-ideal scenarios
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a37a919fe9b06391827361d11fe8b68
https://doi.org/10.1007/978-3-319-50835-1_72
https://doi.org/10.1007/978-3-319-50835-1_72