Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Nuno Pedrosa"'
Autor:
Cristina Regueiro, Aitor Gómez-Goiri, Nuno Pedrosa, Christos Semertzidis, Eider Iturbe, Jason Mansell
Publikováno v:
Blockchain: Research and Applications, Vol 5, Iss 1, Pp 100172- (2024)
As the global population continues to grow, the enormous stress on our environment and resources is becoming impossible to ignore. A focus on producing and consuming as cheaply as possible has created an economy in which objects are briefly used and
Externí odkaz:
https://doaj.org/article/df6f72f3c2484a0d878a37baeaef2afa
Autor:
Maria Ines Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana M. Sima
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Most data-driven methods are very susceptible to data variability. This problem is particularly apparent when applying Deep Learning (DL) to brain Magnetic Resonance Imaging (MRI), where intensities and contrasts vary due to acquisition protocol, sca
Externí odkaz:
https://doaj.org/article/5f0d2a26ae5f4c04804acaa7faed7b04
Autor:
Hanne Struyfs, Diana Maria Sima, Melissa Wittens, Annemie Ribbens, Nuno Pedrosa de Barros, Thanh Vân Phan, Maria Ines Ferraz Meyer, Lene Claes, Ellis Niemantsverdriet, Sebastiaan Engelborghs, Wim Van Hecke, Dirk Smeets
Publikováno v:
NeuroImage: Clinical, Vol 26, Iss , Pp - (2020)
Brain volumes computed from magnetic resonance images have potential for assisting with the diagnosis of individual dementia patients, provided that they have low measurement error and high reliability. In this paper we describe and validate icobrain
Externí odkaz:
https://doaj.org/article/1c9378365d0c46b7ad2670cb4cc34e42
Autor:
Canalini, Luca, Klein, Jan, de Barros, Nuno Pedrosa, Sima, Diana Maria, Miller, Dorothea, Hahn, Horst
Publikováno v:
SPIE Proceedings Vol. 11598 - Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling
In this work, we compare five deep learning solutions to automatically segment the resection cavity in postoperative MRI. The proposed methods are based on the same 3D U-Net architecture. We use a dataset of postoperative MRI volumes, each including
Externí odkaz:
http://arxiv.org/abs/2210.07806
Autor:
Nuno Pedrosa, Duarte Rolo
Publikováno v:
Travailler. :125-137
Autor:
Machado, Miguel Nuno Pedrosa
Publikováno v:
Direito e Justiça; v. 5 (1991); 281-300
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Direito e Justi��a, v. 5 (1991)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::960812936ef48fa5294a055ee39b24ac
https://revistas.ucp.pt/index.php/direitoejustica/article/view/10759
https://revistas.ucp.pt/index.php/direitoejustica/article/view/10759
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Roberto Paolella, Nuno Pedrosa de Barros, Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana M. Sima
Publikováno v:
ISBI
Proceedings
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Proceedings
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Most publicly available brain MRI datasets are very homogeneous in terms of scanner and protocols, and it is difficult for models that learn from such data to generalize to multi-center and multi-scanner data. We propose a novel data augmentation app