Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Dedja A"'
Autor:
Felipe Kenji Nakano, Anna Åkesson, Jasper de Boer, Klest Dedja, Robbe D’hondt, Fateme Nateghi Haredasht, Jonas Björk, Marie Courbebaisse, Lionel Couzi, Natalie Ebert, Björn O. Eriksen, R. Neil Dalton, Laurence Derain-Dubourg, Francois Gaillard, Cyril Garrouste, Anders Grubb, Lola Jacquemont, Magnus Hansson, Nassim Kamar, Christophe Legendre, Karin Littmann, Christophe Mariat, Toralf Melsom, Lionel Rostaing, Andrew D. Rule, Elke Schaeffner, Per-Ola Sundin, Arend Bökenkamp, Ulla Berg, Kajsa Åsling-Monemi, Luciano Selistre, Anders Larsson, Ulf Nyman, Antoine Lanot, Hans Pottel, Pierre Delanaye, Celine Vens
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract In clinical practice, the glomerular filtration rate (GFR), a measurement of kidney functioning, is normally calculated using equations, such as the European Kidney Function Consortium (EKFC) equation. Despite being the most general equation
Externí odkaz:
https://doaj.org/article/6678c76486f642888310d1a6634cbeb3
Autor:
Meghi Dedja, Abolfazl Mehranian, Kevin M. Bradley, Matthew D. Walker, Patrick A. Fielding, Scott D. Wollenweber, Robert Johnsen, Daniel R. McGowan
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Background Investigate the potential benefits of sequential deployment of two deep learning (DL) algorithms namely DL-Enhancement (DLE) and DL-based time-of-flight (ToF) (DLT). DLE aims to enhance the rapidly reconstructed ordered-subset-exp
Externí odkaz:
https://doaj.org/article/02d146a8ba474501ac1bed66b6abd0d2
Tree-ensemble algorithms, such as random forest, are effective machine learning methods popular for their flexibility, high performance, and robustness to overfitting. However, since multiple learners are combined, they are not as interpretable as a
Externí odkaz:
http://arxiv.org/abs/2203.15511
Publikováno v:
In Pattern Recognition September 2024 153
Autor:
Emilio Mateev, Valentin Karatchobanov, Marjano Dedja, Konstantinos Diamantakos, Alexandrina Mateeva, Muhammed Tilahun Muhammed, Ali Irfan, Magdalena Kondeva-Burdina, Iva Valkova, Maya Georgieva, Alexander Zlatkov
Publikováno v:
Pharmaceuticals, Vol 17, Iss 9, p 1171 (2024)
Considering the complex pathogenesis of Alzheimer’s disease (AD), the multi-target ligand strategy is expected to provide superior effects for the treatment of the neurological disease compared to the classic single target strategy. Thus, one novel
Externí odkaz:
https://doaj.org/article/254e25145e6942fa83bc14da3ba7b66f
Akademický článek
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Publikováno v:
IEEE Access, Vol 11, Pp 41348-41367 (2023)
Random forests are machine learning methods characterised by high performance and robustness to overfitting. However, since multiple learners are combined, they are not as interpretable as a single decision tree. In this work we propose a novel metho
Externí odkaz:
https://doaj.org/article/4c0b38ceb74c4905a769531b5c27ecb1
Autor:
Dedja, Meghi1 (AUTHOR), Mehranian, Abolfazl2 (AUTHOR), Bradley, Kevin M.3 (AUTHOR), Walker, Matthew D.1 (AUTHOR), Fielding, Patrick A.3 (AUTHOR), Wollenweber, Scott D.4 (AUTHOR), Johnsen, Robert4 (AUTHOR), McGowan, Daniel R.1,5 (AUTHOR) daniel.mcgowan@oncology.ox.ac.uk
Publikováno v:
EJNMMI Physics. 3/15/2024, Vol. 11 Issue 1, p1-12. 12p.
Akademický článek
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Autor:
Edoardo Maghin, Eugenia Carraro, Daniele Boso, Arben Dedja, Mattia Giagante, Paola Caccin, Raluca Ana-Maria Barna, Silvia Bresolin, Alice Cani, Giulia Borile, Deborah Sandrin, Filippo Romanato, Francesca Cecchinato, Anna Urciuolo, Dorianna Sandonà, Paolo De Coppi, Piero G. Pavan, Martina Piccoli
Publikováno v:
npj Regenerative Medicine, Vol 7, Iss 1, Pp 1-15 (2022)
Abstract The production of skeletal muscle constructs useful for replacing large defects in vivo, such as in congenital diaphragmatic hernia (CDH), is still considered a challenge. The standard application of prosthetic material presents major limita
Externí odkaz:
https://doaj.org/article/1bbd983d9cd5431fa103f3f36913e3b0