Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Águeda Iglesias"'
Autor:
Hugo López-Fernández, Rubén Domínguez-Carbajales, Florentino Fdez-Riverola, Miguel Reboiro-Jato, Joaquín Cubiella, Daniel Glez-Peña, Alba Nogueira-Rodríguez, Águeda Iglesias
Publikováno v:
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Universidade de Vigo (UVigo)
Deep Learning (DL) has attracted a lot of attention in the field of medical image analysis because of its higher performance in image classification when compared to previous state-of-the-art techniques. In addition, a recent meta-analysis found that
Autor:
Manuel Barreiro-de Acosta, Sabino Riestra, Margalida Calafat, María Pilar Soto, Marta Calvo, Eugenia Sánchez Rodríguez, Berta Caballol, Milagros Vela, Montserrat Rivero, Fernando Muñoz, Luisa de Castro, Xavier Calvet, Francisco Javier García-Alonso, Alejandra Utrilla Fornals, Rocío Ferreiro-Iglesias, Carlos González-Muñoza, María Chaparro, Luis Bujanda, Beatriz Sicilia, Erika Alfambra, Andrés Rodríguez, Rubén Pérez Fernández, Cristina Rodríguez, Pedro Almela, Federico Argüelles, David Busquets, Sonsoles Tamarit-Sebastián, Cristina Reygosa Castro, Laura Jiménez, Ignacio Marín-Jiménez, Noelia Alcaide, Estela Fernández-Salgado, Águeda Iglesias, Ángel Ponferrada, Ramón Pajares, Óscar Roncero, Víctor Jair Morales-Alvarado, Nahia Ispízua-Madariaga, Empar Sáinz, Olga Merino, Lucía Márquez-Mosquera, Mariana García-Sepulcre, Ainara Elorza, Sandra Estrecha, Gerard Surís, Manuel Van Domselaar, Alicia Brotons, Ruth de Francisco, Fiorella Cañete, Eva Iglesias, María Isabel Vera, Francisco Mesonero, Rufo Lorente, Yamile Zabana, José Luis Cabriada, Eugeni Domènech, Iago Rodríguez-Lago
Publikováno v:
JOURNAL OF CROHNS & COLITIS
r-FISABIO. Repositorio Institucional de Producción Científica
instname
r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
Journal of Crohns & Colitis
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
r-FISABIO. Repositorio Institucional de Producción Científica
instname
r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
Journal of Crohns & Colitis
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Background and aims Crohn’s disease [CD] can develop penetrating complications at any time during the disease course. Enterocutaneous fistulae [ECF] are disease-related complications with an important impact on quality of life. Our aim was to descr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::971774b8b4f1d3ba0fe5623eb89136ec
https://fundanet.fisabio.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=13339
https://fundanet.fisabio.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=13339
Autor:
Andrea Cruz, Anais Crespo, Alexandra Cunha, Águeda Iglesias, Paulo P. Freitas, Carla A. O. C. M. Carvalho, Laura García-Nimo, Joaquín Cubiella
Publikováno v:
Cancers, Vol 13, Iss 5568, p 5568 (2021)
Cancers
Volume 13
Issue 21
Cancers
Volume 13
Issue 21
Simple Summary Colorectal cancer (CRC) is a significant public health problem, being a major cause of cancer death worldwide. Hence, the identification of biomarkers able to support CRC detection is crucial. This work analyses a panel of six biomarke
Autor:
Daniel Glez-Peña, Miguel Reboiro-Jato, Florentino Fdez-Riverola, Manuel Puga, Fernando Campos-Tato, David Remedios, Rubén Domínguez-Carbajales, Águeda Iglesias, Jesús Herrero, Alba Nogueira-Rodríguez, Joaquín Cubiella, Laura Rivas, Hugo López-Fernández, Eloy Sánchez
Publikováno v:
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Universidade de Vigo (UVigo)
Colorectal cancer is a major health problem, where advances towards computer-aided diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement. Here, a deep learning model for real-time polyp detection based on a pre-trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dac7aefadfd23d94e4d30a4197be6f78
https://doi.org/10.1007/s00521-021-06496-4
https://doi.org/10.1007/s00521-021-06496-4
Autor:
Juan M. Falcón-Pérez, Luis Bujanda, Anais Crespo, Cristina Alonso, Joaquín Cubiella, Mauro D'Amato, Marc Clos-Garcia, Koldo Garcia, Marta Iruarrizaga-Lejarreta, Águeda Iglesias
Publikováno v:
Cancers, Vol 12, Iss 1142, p 1142 (2020)
Cancers
Volume 12
Issue 5
Cancers
Volume 12
Issue 5
Although colorectal cancer (CRC) is the second leading cause of death in developed countries, current diagnostic tests for early disease stages are suboptimal. We have performed a combination of UHPLC-MS metabolomics and 16S microbiome analyses on 22