Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Daniel, Coelho"'
Autor:
Yildirim, Nur, Richardson, Hannah, Wetscherek, Maria T., Bajwa, Junaid, Jacob, Joseph, Pinnock, Mark A., Harris, Stephen, de Castro, Daniel Coelho, Bannur, Shruthi, Hyland, Stephanie L., Ghosh, Pratik, Ranjit, Mercy, Bouzid, Kenza, Schwaighofer, Anton, Pérez-García, Fernando, Sharma, Harshita, Oktay, Ozan, Lungren, Matthew, Alvarez-Valle, Javier, Nori, Aditya, Thieme, Anja
Recent advances in AI combine large language models (LLMs) with vision encoders that bring forward unprecedented technical capabilities to leverage for a wide range of healthcare applications. Focusing on the domain of radiology, vision-language mode
Externí odkaz:
http://arxiv.org/abs/2402.14252
Autor:
Rosnati, Margherita, Ribeiro, Fabio De Sousa, Monteiro, Miguel, de Castro, Daniel Coelho, Glocker, Ben
Image segmentation is important in medical imaging, providing valuable, quantitative information for clinical decision-making in diagnosis, therapy, and intervention. The state-of-the-art in automated segmentation remains supervised learning, employi
Externí odkaz:
http://arxiv.org/abs/2211.01886
Autor:
Monteiro, Miguel, Folgoc, Loïc Le, de Castro, Daniel Coelho, Pawlowski, Nick, Marques, Bernardo, Kamnitsas, Konstantinos, van der Wilk, Mark, Glocker, Ben
In image segmentation, there is often more than one plausible solution for a given input. In medical imaging, for example, experts will often disagree about the exact location of object boundaries. Estimating this inherent uncertainty and predicting
Externí odkaz:
http://arxiv.org/abs/2006.06015
Publikováno v:
Cadernos de Campo, Vol 23, Iss 1, p e023006 (2023)
Externí odkaz:
https://doaj.org/article/6b0b441ac17e4096a8bffd7e65a83f1a
Autor:
Deborah Lupton, Maycon Noremberg Schubert, Marília Luz David, Daniel Coelho de Oliveira, Arthur Saldanha dos Santos
Publikováno v:
Cadernos de Campo, Vol 23, Iss 1, p e023011 (2023)
Externí odkaz:
https://doaj.org/article/d06ae4e755df4259ae8631c01495aad1
Autor:
Isabela Cristina Fernandes Vaz, Ana Cristina Cabral, Alley Michael Silva Procópio, Hugo Marlon da Silva Nascimento, Daniel Coelho do Amaral, Francisco Moura Filho
Publikováno v:
Materials Research, Vol 26 (2023)
The study presents CeO2 particles synthesized by the microwave-assisted hydrothermal method using different synthesis times for the analysis of sensitivity to carbon monoxide gas, aiming at its application as a sensor material to prevent poisoning ca
Externí odkaz:
https://doaj.org/article/a2fe2788290b4f6eadd165697b4a7f83
Autor:
Daniel Coelho de Sá, Juliana Abreu Pinheiro, Emmanuel Pereira Benevides Magalhães, Maria Araci de Andrade Pontes
Publikováno v:
Anais Brasileiros de Dermatologia, Vol 97, Iss 5, Pp 667-673 (2022)
Externí odkaz:
https://doaj.org/article/060f49bf49aa4fe68f499f77a39b9abb
Autor:
Daniel Coelho, Miguel Oliveira
Publikováno v:
IEEE Access, Vol 10, Pp 75296-75311 (2022)
Autonomous driving in urban environments requires intelligent systems that are able to deal with complex and unpredictable scenarios. Traditional modular approaches focus on dividing the driving task into standard modules, and then use rule-based met
Externí odkaz:
https://doaj.org/article/c1c963b3ac5249da9f25e93e29b2d93a
Autor:
Daniel Coelho de Oliveira
Publikováno v:
Caderno CRH, Vol 35 (2023)
Externí odkaz:
https://doaj.org/article/0ae065feaefc4d8683f0270c202402bc
Autor:
Inês Ferreira, Carlos Sachica Montenegro, Daniel Coelho, Maria Pereira, Sara da Mata, Sofia Carvalho, Ana Catarina Araújo, Carlos Abrantes, José Mário Ruivo, Helena Garcia, Rui Caetano Oliveira
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100180- (2023)
Introduction: The transition to digital pathology has been carried out by several laboratories across the globe, with some cases described in Portugal. In this article, we describe the transition to digital pathology in a high-volume private laborato
Externí odkaz:
https://doaj.org/article/3a59c87a93e548699aa700c667635eb7