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Artículos Encontrados 44 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.02 segundos. 
1.
10 p, 859.5 KB Predicting AT(N) pathologies in Alzheimer's disease from blood-based proteomic data using neural networks / Zhang, Y. (University of Oxford) ; Ghose, U. (University of Oxford) ; Buckley, N.J. (University of Oxford) ; Engelborghs, S. (Vrije Universiteit Brussel) ; Sleegers, K. (University of Antwerp) ; Frisoni, G.B. (Department of Psychiatry. University of Geneva) ; Wallin, A. (University of Gothenburg) ; Lleó, Alberto (Institut d'Investigació Biomèdica Sant Pau) ; Popp, J. (University of Zürich) ; Martinez-Lage, P. (CITA-Alzheimer Foundation) ; Legido-Quigley, C. (Steno Diabetes Center) ; Barkhof, F. (University College London) ; Zetterberg, H. (Kong Kong Center for Neurodegenerative Diseases) ; Visser, P.J. (VU University Medical Center) ; Bertram, L. (University of Oslo) ; Lovestone, S. (Janssen RD) ; Nevado-Holgado, Alejo (University of Oxford) ; Shi, L. (University of Oxford) ; Universitat Autònoma de Barcelona
Background and objective: Blood-based biomarkers represent a promising approach to help identify early Alzheimer's disease (AD). Previous research has applied traditional machine learning (ML) to analyze plasma omics data and search for potential biomarkers, but the most modern ML methods based on deep learning has however been scarcely explored. [...]
2022 - 10.3389/fnagi.2022.1040001
Frontiers in aging neuroscience, Vol. 14 (29 2022) , p. 1040001  
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2.
13 p, 4.5 MB iMAGING : a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope / Rubio Maturana, Carles (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia) ; de Oliveira, Allisson Dantas (Universitat Politècnica de Catalunya) ; Nadal, Sergi (Universitat Politècnica de Catalunya) ; Serrat, Francesc Zarzuela (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Sulleiro Igual, Elena (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia) ; Ruiz, Edurne (Hospital Universitari Vall d'Hebron. Institut de Recerca) ; Bilalli, Besim (Universitat Politècnica de Catalunya) ; Veiga, Anna (Probitas Foundation) ; Espasa, Mateu (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT)) ; Abelló, Alberto (Universitat Politècnica de Catalunya) ; Pumarola Suñé, Tomàs (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia) ; Segú, Marta (Futbol Club Barcelona Foundation) ; López-Codina, Daniel (Universitat Politècnica de Catalunya) ; Clols, Elisa Sayrol (Universitat Pompeu Fabra) ; Joseph-Munné, Joan (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Malaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard technique for malaria diagnosis, however, it requires expertise, is time-consuming and difficult to reproduce. [...]
2023 - 10.3389/fmicb.2023.1240936
Frontiers in microbiology, Vol. 14 (november 2023)  
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3.
9 p, 1.5 MB Deep machine learning for meteor monitoring : Advances with transfer learning and gradient-weighted class activation mapping / Peña-Asensio, Eloy (Universitat Autònoma de Barcelona. Departament de Química) ; Trigo Rodríguez, Josep Maria (Institut de Ciències de l'Espai) ; Grèbol-Tomàs, Pau (Institut de Ciències de l'Espai) ; Regordosa-Avellana, David (Spanish Meteor Network) ; Rimola, Albert (Universitat Autònoma de Barcelona. Departament de Química)
In recent decades, the use of optical detection systems for meteor studies has increased dramatically, resulting in huge amounts of data being analyzed. Automated meteor detection tools are essential for studying the continuous meteoroid incoming flux, recovering fresh meteorites, and achieving a better understanding of our Solar System. [...]
2023 - 10.1016/j.pss.2023.105802
Planetary and Space Science, Vol. 238 (November 2023) , art. 105802  
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4.
11 p, 2.6 MB Flexible integration of continuous sensory evidence in perceptual estimation tasks / Esnaola-Acebes, Jose M. (Centre de Recerca Matemàtica) ; Roxin, Alex (Centre de Recerca Matemàtica) ; Wimmer, Klaus (Centre de Recerca Matemàtica)
Accumulating sensory information over time is crucial for making accurate judgments when acting in the face of noisy or ambiguous sensory information. For example, a hunting predator needs to compute the net direction of motion of a large group of prey (e. [...]
2022 - 10.1073/pnas.2214441119
Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, Issue 45 (November 2022) , art. e2214441119  
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5.
20 p, 1.7 MB Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks / Ortega-Martorell, Sandra (Liverpool John Moores University) ; Olier, Iván (Liverpool John Moores University) ; Hernandez, Orlando (Escuela Colombiana de Ingeniería Julio Garavito) ; Restrepo-Galvis, Paula D. (Escuela Colombiana de Ingeniería Julio Garavito) ; Bellfield, Ryan A. A. (Liverpool John Moores University) ; Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Glioblastoma (GB) is a malignant brain tumour with no cure, even after the best treatment. The evaluation of a therapy response is usually based on magnetic resonance imaging (MRI), but it lacks precision in early stages, and doctors must wait several weeks until they are confident information is produced, facing an uncertain time window. [...]
2023 - 10.3390/cancers15154002
Cancers, Vol. 15, Num. 15 (August 2023) , art. 4002  
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6.
15 p, 2.9 MB Adopting transfer learning for neuroimaging : a comparative analysis with a custom 3D convolution neural network model / Soliman, Amira (Halmstad University) ; Chang, Jose R. (National Cheng Kung University in Tainan) ; Etminani, Kobra (Halmstad University) ; Byttner, Stefan (Halmstad University) ; Davidsson, Anette (Institution of Medicine and Health Sciences) ; Martínez-Sanchis, Begoña (Hospital Universitari i Politècnic La Fe (València)) ; Camacho, Valle (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya)) ; Bauckneht, Matteo (IRCCS Ospedale Policlinico San Martino) ; Stegeran, Roxana (Linköping University Hospital) ; Ressner, Marcus (Linköping University Hospital) ; Agudelo-Cifuentes, Marc (Hospital Universitari i Politècnic La Fe (València)) ; Chincarini, Andrea (National Institute of Nuclear Physics) ; Brendel, Matthias (University Hospital) ; Rominger, Axel (University Hospital Bern) ; Bruffaerts, Rose (University of Antwerp) ; Vandenberghe, Rik (University Hospitals Leuven (Bèlgica)) ; Kramberger, Milica G. (University Medical Centre) ; Trost, Maja (Univerza V Ljubljani) ; Nicastro, Nicolas (Geneva University Hospitals (Suïssa)) ; Frisoni, Giovanni B. (University Hospitals) ; Lemstra, Afina W. (VU Medical Center Alzheimer Center) ; Berckel, Bart N. M. van (Vrije Universiteit Amsterdam) ; Pilotto, Andrea (University of Brescia) ; Padovani, Alessandro (IRCCS Ospedale Policlinico San Martino) ; Morbelli, Silvia (Stavanger University Hospital) ; Aarsland, Dag (King's College London) ; Nobili, Flavio (University of Genoa) ; Garibotto, Valentina (Geneva University) ; Ochoa-Figueroa, Miguel (Linköping University) ; Universitat Autònoma de Barcelona
In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually challenged by lack of labeled data. [...]
2022 - 10.1186/s12911-022-02054-7
BMC Medical Informatics and Decision Making, Vol. 22 (december 2022)  
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7.
17 p, 1.6 MB A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients / Baeza, Sonia (Universitat Autònoma de Barcelona. Departament de Medicina) ; Gil, Debora (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Garcia-Olivé, Ignasi (Universitat Autònoma de Barcelona. Departament de Medicina) ; Salcedo-Pujantell, Maite (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ; Deportós, Jordi (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ; Sánchez Ramos, Carles (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Torres, Guillermo (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Moragas, Gloria (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ; Rosell, Antoni (Universitat Autònoma de Barcelona. Departament de Medicina)
COVID-19 infection, especially in cases with pneumonia, is associated with a high rate of pulmonary embolism (PE). In patients with contraindications for CT pulmonary angiography (CTPA) or non-diagnostic CTPA, perfusion single-photon emission computed tomography/computed tomography (Q-SPECT/CT) is a diagnostic alternative. [...]
2022 - 10.1186/s40658-022-00510-x
EJNMMI Physics, Vol. 9 (december 2022)  
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8.
5 p, 210.7 KB Editorial to special issue "remote sensing data compression" / Vozel, Benoit (University of Rennes 1. Engineering School of Applied Sciences and Technology) ; Lukin, Vladimir (National Aerospace University. Department of Information and Communication Technologies) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
A huge amount of remote sensing data is acquired each day, which is transferred to image processing centers and/or to customers. Due to different limitations, compression has to be applied on-board and/or on-the-ground. [...]
2021 - 10.3390/rs13183727
Remote sensing (Basel), Vol. 13, Issue 18 (September 2021) , art. 3727  
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9.
15 p, 1.5 MB Voltammetric electronic tongue to identify Brett character in wines. On-site quantification of its ethylphenol metabolites / González-Calabuig, Andreu (Universitat Autònoma de Barcelona. Departament de Química) ; Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)
This work reports the applicability of a voltammetric sensor array able to evaluate the content of the metabolites of the Brett defect: 4-ethylphenol, 4-ethylguaiacol and 4-ethylcatechol in spiked wine samples using the electronic tongue (ET) principles. [...]
2018 - 10.1016/j.talanta.2017.10.041
Talanta, Vol. 179 (March 2018) , p. 70-74  
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10.
25 p, 1.0 MB Bioelectronic tongue using MIP sensors for the resolution of volatile phenolic compounds / Herrera-Chacon, Anna (Universitat Autònoma de Barcelona. Departament de Química) ; González-Calabuig, Andreu (Universitat Autònoma de Barcelona. Departament de Química) ; Campos, Inmaculada (Universitat Autònoma de Barcelona. Departament de Química) ; Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)
The proposed approach reports the combined advantages of biosensors made of molecularly imprinted polymers (MIPs) and the modelling capabilities of Artificial Neural Networks (ANN) in a bio-electronic tongue (BioET) analysis system for the very first time. [...]
2018 - 10.1016/j.snb.2017.11.136
Sensors and actuators. B, Chemical, Vol. 258 (April 2018) , p. 665-671  
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Artículos : Encontrados 44 registros   1 - 10siguientefinal  ir al registro:
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