Zobrazeno 1 - 10
of 3 789
pro vyhledávání: '"Comellas, A"'
Autor:
Comellas, Francesc
We update the table of large undirected graphs with given degree and diameter with results produced since the publication of the survey by M. Miller and J. \v{S}ir\'{a}\v{n} (Electron. J. Combin. DS14, 2nd. edition. May 2013).
Externí odkaz:
http://arxiv.org/abs/2406.18994
Autor:
Wysoczanski, Artur, Ettehadi, Nabil, Arabshahi, Soroush, Sun, Yifei, Stukovsky, Karen Hinkley, Watson, Karol E., Han, MeiLan K., Michos, Erin D, Comellas, Alejandro P., Hoffman, Eric A., Laine, Andrew F., Barr, R. Graham, Angelini, Elsa D.
Pulmonary emphysema, the progressive, irreversible loss of lung tissue, is conventionally categorized into three subtypes identifiable on pathology and on lung computed tomography (CT) images. Recent work has led to the unsupervised learning of ten s
Externí odkaz:
http://arxiv.org/abs/2403.00257
Autor:
Carmo, Diedre S., Ribeiro, Jean A., Comellas, Alejandro P., Reinhardt, Joseph M., Gerard, Sarah E., Rittner, Letícia, Lotufo, Roberto A.
The COVID-19 pandemic response highlighted the potential of deep learning methods in facilitating the diagnosis, prognosis and understanding of lung diseases through automated segmentation of pulmonary structures and lesions in chest computed tomogra
Externí odkaz:
http://arxiv.org/abs/2312.02365
Autor:
Carmo, Diedre S., Tudas, Rosarie A., Comellas, Alejandro P., Rittner, Leticia, Lotufo, Roberto A., Reinhardt, Joseph M., Gerard, Sarah E.
Automated segmentation of lung abnormalities in computed tomography is an important step for diagnosing and characterizing lung disease. In this work, we improve upon a previous method and propose S-MEDSeg, a deep learning based approach for accurate
Externí odkaz:
http://arxiv.org/abs/2310.09446
Autor:
Bradford, Eric, Jacobson, Sean, Varasteh, Jason, Comellas, Alejandro P., Woodruff, Prescott, O’Neal, Wanda, DeMeo, Dawn L., Li, Xingnan, Kim, Victor, Cho, Michael, Castaldi, Peter J., Hersh, Craig, Silverman, Edwin K., Crapo, James D., Kechris, Katerina, Bowler, Russell P.
Background: Blood biomarkers are increasingly used to stratify high risk chronic obstructive pulmonary disease (COPD) patients; however, there are fewer studies that have investigated multiple biomarkers and replicated in multiple large well-characte
Externí odkaz:
http://hdl.handle.net/10150/626086
http://arizona.openrepository.com/arizona/handle/10150/626086
http://arizona.openrepository.com/arizona/handle/10150/626086
Autor:
Isabel Castrejón, Laura Cano, María José Cuadrado, Joaquín Borrás, Maria Galindo, Tarek C. Salman-Monte, Carlos Amorós, Carmen San Román, Isabel Cabezas, Marta Comellas, Alejandro Muñoz
Publikováno v:
BMC Rheumatology, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract Background Systemic lupus erythematosus (SLE) may result in great impact on patients’ quality of life, social relationships, and work productivity. The use of patient-reported outcome measures (PROMs) in routine care could help capture dis
Externí odkaz:
https://doaj.org/article/05afc6b8f51d4f3281e6c4bfc717d363
Autor:
Esteban Daudén, I. Belinchón, E. Colominas-González, P. Coto, P. de la Cueva, F. Gallardo, J. L. Poveda, E. Ramírez, S. Ros, R. Ruíz-Villaverde, M. Comellas, Luís Lizán
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Psoriasis is a chronic skin disease that negatively impacts on patient’s life. A holistic approach integrating well-being assessment could improve disease management. Since a consensus definition of well-being in psoriasis is not available
Externí odkaz:
https://doaj.org/article/731c5767d8ac4239a37b9a30c218bc47
A substantial fraction of the time that computational modellers dedicate to developing their models is actually spent trouble-shooting and debugging their code. However, how this process unfolds is seldom spoken about, maybe because it is hard to art
Externí odkaz:
http://arxiv.org/abs/2209.04198
Autor:
Queralt Miró Catalina, Josep Vidal-Alaball, Aïna Fuster-Casanovas, Anna Escalé-Besa, Anna Ruiz Comellas, Jordi Solé-Casals
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Interpreting chest X-rays is a complex task, and artificial intelligence algorithms for this purpose are currently being developed. It is important to perform external validations of these algorithms in order to implement them. This study th
Externí odkaz:
https://doaj.org/article/e5096b10326f4cfe82990142e7dbd71a
Autor:
Miguel Angel Pardo-Cea, Xavier Farré, Anna Esteve, Joanna Palade, Roderic Espín, Francesca Mateo, Eric Alsop, Marc Alorda, Natalia Blay, Alexandra Baiges, Arzoo Shabbir, Francesc Comellas, Antonio Gómez, Montserrat Arnan, Alex Teulé, Monica Salinas, Laura Berrocal, Joan Brunet, Paula Rofes, Conxi Lázaro, Miquel Conesa, Juan Jose Rojas, Lars Velten, Wojciech Fendler, Urszula Smyczynska, Dipanjan Chowdhury, Yong Zeng, Housheng Hansen He, Rong Li, Kendall Van Keuren-Jensen, Rafael de Cid, Miquel Angel Pujana
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-22 (2024)
Abstract Background The immune system has a central role in preventing carcinogenesis. Alteration of systemic immune cell levels may increase cancer risk. However, the extent to which common genetic variation influences blood traits and cancer risk r
Externí odkaz:
https://doaj.org/article/5f8c5c339bf345519940b8098cf83a6d