Zobrazeno 1 - 10
of 3 936
pro vyhledávání: '"P Bernabeu"'
Autor:
Phitidis, Jesse, O'Neil, Alison Q., Whiteley, William N., Alex, Beatrice, Wardlaw, Joanna M., Bernabeu, Miguel O., Hernández, Maria Valdés
Cerebrovascular diseases (CVD) can lead to stroke and dementia. Stroke is the second leading cause of death world wide and dementia incidence is increasing by the year. There are several markers of CVD that are visible on brain imaging, including: wh
Externí odkaz:
http://arxiv.org/abs/2410.17124
The continued release of new and better image generation models increases the demand for synthetic image detectors. In such a dynamic field, detectors need to be able to generalize widely and be robust to uncontrolled alterations. The present work is
Externí odkaz:
http://arxiv.org/abs/2409.14128
Autor:
Bernabeu, Joan, Cortijo, Alberto
Magnetic Catalysis is a known proposal for inducing dynamical axionic gapped phases by means of external magnetic fields from a Weyl or Dirac semimetal phase. At finite Fermi level, the phase transition is of first order type and the magnetic field n
Externí odkaz:
http://arxiv.org/abs/2405.18473
Autor:
Burke, Jamie, Engelmann, Justin, Hamid, Charlene, Moukaddem, Diana, Pugh, Dan, Dhaun, Neeraj, Storkey, Amos, Strang, Niall, King, Stuart, MacGillivray, Tom, Bernabeu, Miguel O., MacCormick, Ian J. C.
The choroid is a key vascular layer of the eye, supplying oxygen to the retinal photoreceptors. Non-invasive enhanced depth imaging optical coherence tomography (EDI-OCT) has recently improved access and visualisation of the choroid, making it an exc
Externí odkaz:
http://arxiv.org/abs/2405.14453
Autor:
Gururajan, Ashwin Kumar, Lopez-Cuena, Enrique, Bayarri-Planas, Jordi, Tormos, Adrian, Hinjos, Daniel, Bernabeu-Perez, Pablo, Arias-Duart, Anna, Martin-Torres, Pablo Agustin, Urcelay-Ganzabal, Lucia, Gonzalez-Mallo, Marta, Alvarez-Napagao, Sergio, Ayguadé-Parra, Eduard, Garcia-Gasulla, Ulises Cortés Dario
As the capabilities of Large Language Models (LLMs) in healthcare and medicine continue to advance, there is a growing need for competitive open-source models that can safeguard public interest. With the increasing availability of highly competitive
Externí odkaz:
http://arxiv.org/abs/2405.01886
Autor:
Engelmann, Justin, Bernabeu, Miguel O.
Artificial Intelligence in medicine is traditionally limited by the lack of massive training datasets. Foundation models, pre-trained models that can be adapted to downstream tasks with small datasets, could alleviate this problem. Researchers at Moo
Externí odkaz:
http://arxiv.org/abs/2405.00117
Language identification is a crucial component in the automated production of language resources, particularly in multilingual and big data contexts. However, commonly used language identifiers struggle to differentiate between similar or closely-rel
Externí odkaz:
http://arxiv.org/abs/2404.08345
Autor:
de Gibert, Ona, Nail, Graeme, Arefyev, Nikolay, Bañón, Marta, van der Linde, Jelmer, Ji, Shaoxiong, Zaragoza-Bernabeu, Jaume, Aulamo, Mikko, Ramírez-Sánchez, Gema, Kutuzov, Andrey, Pyysalo, Sampo, Oepen, Stephan, Tiedemann, Jörg
We present the HPLT (High Performance Language Technologies) language resources, a new massive multilingual dataset including both monolingual and bilingual corpora extracted from CommonCrawl and previously unused web crawls from the Internet Archive
Externí odkaz:
http://arxiv.org/abs/2403.14009
Purpose: To investigate whether Fractal Dimension (FD)-based oculomics could be used for individual risk prediction by evaluating repeatability and robustness. Methods: We used two datasets: Caledonia, healthy adults imaged multiple times in quick su
Externí odkaz:
http://arxiv.org/abs/2403.06950
Autor:
Engelmann, Justin, Burke, Jamie, Hamid, Charlene, Reid-Schachter, Megan, Pugh, Dan, Dhaun, Neeraj, Moukaddem, Diana, Gray, Lyle, Strang, Niall, McGraw, Paul, Storkey, Amos, Steptoe, Paul J., King, Stuart, MacGillivray, Tom, Bernabeu, Miguel O., MacCormick, Ian J. C.
Purpose: To develop Choroidalyzer, an open-source, end-to-end pipeline for segmenting the choroid region, vessels, and fovea, and deriving choroidal thickness, area, and vascular index. Methods: We used 5,600 OCT B-scans (233 subjects, 6 systemic dis
Externí odkaz:
http://arxiv.org/abs/2312.02956