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823 results on '"Villanueva E"'

16. Marker-Controlled Watershed for Volume Countouring in PET Images

Author

Naranjo, V., López-Mir, F., Marín, C., Morales, S., Fuertes, J. J., Villanueva, E., Magjarevic, Ratko, Editor-in-chief, Ładyzynsk, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, and Roa Romero, Laura M., editor

Published
2014
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25. Whiplash-Associated Disorders: Clinical and medico-legal guidelines on the methods of ascertainment

Author

Ferrara, S. D., Ananian, V., Baccino, E., Banczerowski, P., Bordignon, D., Boscolo-Berto, R., Domenici, R., Gorriz Quevedo, J., Graw, M., Hell, W., Hernandez Cueto, C., Knudsen, P. J. T., Masiero, S., Montisci, M., Norelli, G. A., Pinchi, V., Raudys, R., Raul, J. S., Sterzik, V., Tessitore, E., Tuusov, J., Vanezis, P., Vermylen, Y., Vieira, D. N., Viel, G., Viero, A., Villanueva, E., and Zoia, R.

Published
2016
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38. Using a Novel Sr2CeO4:Ni Photocatalyst for the Degradation of the Recalcitrant Congo Red Dye Under Solar Irradiation.

Author

Garcia, C. R., Oliva, J., Chavez, D., Viesca-Villanueva, E., Tejada-Velasquez, Y., Mtz-Enriquez, A. I., and Diaz-Torres, L. A.

Subjects
CONGO red (Staining dye), LIGHT absorption, OXIDIZING agents, IRRADIATION, HYDROXYL group, COLOR removal in water purification, WATER treatment plants
Abstract

We report the structural, morphological and photocatalytic properties of the Sr2CeO4 (SCO) and Ni-doped Sr2CeO4 (SCO:Ni) powders synthesized by a combustion method. The SCO was doped with Ni dopant (from 0.5 to 5 mol%) and was employed for the degradation of the recalcitrant Congo red (CR) dye. SCO powders (undoped and Ni doped) had an orthorhombic phase and they showed an irregular morphology. SCO:Ni samples presented sizes of microns (2–3.36 µm), but smaller nanoparticles were found on their surface, which had sizes of 98–106 nm. On the other hand, photocatalytic experiments were achieved and found that the SCO powder doped with 1 mol% of Ni produced 100% of CR degradation after 210 min under solar irradiation. Total organic carbon measurements were carried out and obtained TOC values of 1.81, 0.21 and 1.31 mg/L for the SCO powders doped with 0, 1 and 5 mol% of Ni, respectively, after 210 min of photocatalytic reaction. Those values indicate that the SCO powder doped with 1 mol% of Ni had the highest production of mineral (inorganic) carbon. Moreover, the absorbance spectra showed that the absorption of light in the visible region is enhanced by ≈ 45% after increasing the Ni concentration from 0 to 1 mol% in the SCO powders, but decreases ≈ 21% after increasing the Ni concentration from 3 to 5 mol%. Furthermore, scavenger experiments were carried out and found that the hydroxyl radicals (·OH) were the main oxidizing agents produced for the photocatalytic degradation of the CR, while the super oxide radicals (·O2−) and the holes (h+) were the secondary oxidizing agents. Thus, the results of this investigation confirmed that the SCO:Ni photocatalysts could be good candidates for the photocatalytic removal of dyes under solar light, and could find application in water treatment plants located in open areas. [ABSTRACT FROM AUTHOR]

Published
2022
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39. Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

Author

Sirinukunwattana, K, Domingo-Villanueva, E, Richman, S, Blake, A, Verrill, C, Leedham, SJ, Wu, C-H, Maughan, T, Rittscher, J, and Koelzer, VH

Abstract

Objective: Complex phenotypes captured on histological slides represent the biological processes at play in individual cancers but the link to underlying molecular classification has not been clarified or systematised. In colorectal cancer (CRC), histological grading is a poor predictor of disease progression, and consensus molecular subtypes (CMS) cannot be distinguished without gene expression profiling. We hypothesise that image analysis is a cost-effective tool to associate complex features of tissue organisation with molecular and outcome data and to resolve unclassifiable or heterogeneous cases. In this study, we present an image-based approach to predict CRC CMS from standard H&E sections using deep learning. Design: Training and evaluation of a neural network were performed using a total of n=1,206 tissue sections with comprehensive multi-omic data from three independent datasets (training on FOCUS trial, n=278 patients; test on rectal cancer biopsies, GRAMPIAN cohort, n=144 patients, and The Cancer Genome Atlas (TCGA), n=430 patients). Ground truth CMS calls were ascertained by matching random forest and single sample predictions from MSclassifier. Results: Image-based CMS (imCMS) accurately classified slides in unseen datasets from TCGA (n=431 slides, AUC=0.84) and rectal cancer biopsies (n=265 slides, AUC=0.85). imCMS spatially resolved intra-tumoural heterogeneity and provided secondary calls correlating with bioinformatic prediction from molecular data. imCMS classified samples previously unclassifiable by RNA expression profiling, reproduced the expected correlations with genomic and epigenetic alterations and showed similar prognostic associations as transcriptomic CMS. Conclusion: This study shows that a prediction of RNA expression classifiers can be made from H&E images, opening the door to simple, cheap and reliable biological stratification within routine workflows.

Published
2020

42. Administración de Riesgos Estratégicos

Author

Universidad EAFIT. Departamento de Administración, Información y Gestión, Rivas, L., Nuñez, M., Jaraba, I., Villanueva, E., Mejía, Pablo, Universidad EAFIT. Departamento de Administración, Información y Gestión, Rivas, L., Nuñez, M., Jaraba, I., Villanueva, E., and Mejía, Pablo

Published
2021

43. Riesgo estratégico

Author

Universidad EAFIT. Departamento de Administración, Información y Gestión, Nuñez, M., Villanueva, E., Universidad EAFIT. Departamento de Administración, Información y Gestión, Nuñez, M., and Villanueva, E.

Published
2021

46. O059 / #669: MODEL FOR REGIONAL COLLABORATION IN QUALITY IMPROVEMENT: IMPLEMENTATION OF A PEDIATRIC EARLY WARNING SYSTEM IN 17 PEDIATRIC ONCOLOGY CENTERS IN LATIN AMERICA AND THE CARIBBEAN

Author

Agulnik, A., primary, Garza, M., additional, Gonzalez-Ruiz, A., additional, Carrillo, A., additional, Conde, T., additional, Soberanis, D., additional, Rivera, J., additional, Martinez, A., additional, Villanueva, E., additional, Alfonso, Y., additional, Alvarez, S., additional, Barragán, M., additional, Calderon, P., additional, Chavez, M., additional, Fernández, G., additional, Fing, E., additional, Huitz, T., additional, Juarez, S., additional, Miller, K., additional, Risco, R., additional, Morales, R., additional, Negrín, O., additional, Osuna, A., additional, Pineda, E., additional, and Rodriguez-Galindo, C., additional

Published
2021
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