Zobrazeno 1 - 10
of 7 104
pro vyhledávání: '"Nobre Â"'
Autor:
Hsieh, Chihcheng, Moreira, Catarina, Nobre, Isabel Blanco, Sousa, Sandra Costa, Ouyang, Chun, Brereton, Margot, Jorge, Joaquim, Nascimento, Jacinto C.
X-ray images are vital in medical diagnostics, but their effectiveness is limited without clinical context. Radiologists often find chest X-rays insufficient for diagnosing underlying diseases, necessitating comprehensive clinical features and data i
Externí odkaz:
http://arxiv.org/abs/2407.08227
Recognized for their non-diffracting properties, Bessel beams can be conveniently combined to generate the so-called Frozen Waves, which are monochromatic beams endowed with topological charge and whose longitudinal intensity pattern can be shaped ac
Externí odkaz:
http://arxiv.org/abs/2402.02828
Autor:
Elhamdadi, Hamza, Stefkovics, Adam, Beyer, Johanna, Moerth, Eric, Bearfield, Cindy Xiong, Nobre, Carolina
Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation and decision-making processes of users. While research in social sciences outlines the multi-dimensional factors that can play a role in trust format
Externí odkaz:
http://arxiv.org/abs/2309.16915
Publikováno v:
Revista Portuguesa de Filosofia, 2024 Jan 01. 80(1/2), 715-715.
Externí odkaz:
https://www.jstor.org/stable/27328823
The thermal conductance of a one-dimensional classical inertial Heisenberg model of linear size $L$ is computed, considering the first and last particles in thermal contact with heat baths at higher and lower temperatures, $T_{h}$ and $T_{l}$ ($T_{h}
Externí odkaz:
http://arxiv.org/abs/2306.07481
We propose and discuss a Bayesian procedure to estimate the average treatment effect (ATE) for multilevel observations in the presence of confounding. We focus on situations where the confounders may be latent (e.g., spatial latent effects). This wor
Externí odkaz:
http://arxiv.org/abs/2304.12548
Publikováno v:
Computer Physics Communications, Volume 294, 2024, 108927, ISSN 0010-4655
Accurate neutron cross section data are a vital input to the simulation of nuclear systems for a wide range of applications from energy production to national security. The evaluation of experimental data is a key step in producing accurate cross sec
Externí odkaz:
http://arxiv.org/abs/2303.09698
Autor:
Hsieh, Chihcheng, Nobre, Isabel Blanco, Sousa, Sandra Costa, Ouyang, Chun, Brereton, Margot, Nascimento, Jacinto C., Jorge, Joaquim, Moreira, Catarina
This study investigates the effects of including patients' clinical information on the performance of deep learning (DL) classifiers for disease location in chest X-ray images. Although current classifiers achieve high performance using chest X-ray i
Externí odkaz:
http://arxiv.org/abs/2302.13390
Autor:
Luís, André, Hsieh, Chihcheng, Nobre, Isabel Blanco, Sousa, Sandra Costa, Maciel, Anderson, Moreira, Catarina, Jorge, Joaquim
This paper proposes a novel multimodal DL architecture incorporating medical images and eye-tracking data for abnormality detection in chest x-rays. Our results show that applying eye gaze data directly into DL architectures does not show superior pr
Externí odkaz:
http://arxiv.org/abs/2302.02940
Publikováno v:
Frontiers in Forests and Global Change 6:1150191, 2023
Along with the accumulation of atmospheric carbon dioxide, the loss of primary forests and other natural ecosystems is a major disruption of the Earth system causing global concern. Quantifying planetary warming from carbon emissions, global climate
Externí odkaz:
http://arxiv.org/abs/2301.09998