Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Carlos E. Pedreira"'
Autor:
Alba Pérez‐Pons, María Jara‐Acevedo, Ana Henriques, Paula Navarro‐Navarro, Andrés C. García‐Montero, Iván Álvarez‐Twose, Carlos E. Pedreira, Laura Sánchez‐Muñoz, Daniela Damasceno, Carolina Caldas, Javier I. Muñoz‐González, Almudena Matito, Juan Flores‐Montero, Oscar González‐López, Ignacio Criado, Andrea Mayado, Alberto Orfao
Publikováno v:
Clinical and Translational Allergy, Vol 12, Iss 6, Pp n/a-n/a (2022)
Abstract Background Mast cells (MC) from systemic mastocytosis (SM) patients release MC mediators that lead to an altered microenvironment with potential consequences on innate immune cells, such as monocytes and dendritic cells (DC). Here we investi
Externí odkaz:
https://doaj.org/article/dd7db6ae0e5a44aeb3411ba56ebf9c86
Autor:
Ignacio Criado, Arancha Rodríguez-Caballero, M. Laura Gutiérrez, Carlos E. Pedreira, Miguel Alcoceba, Wendy Nieto, Cristina Teodosio, Paloma Bárcena, Alfonso Romero, Paulino Fernández-Navarro, Marcos González, Julia Almeida, Alberto Orfao, The Primary Health Care Group of Salamanca for the Study of MBL
Publikováno v:
Haematologica, Vol 103, Iss 7 (2018)
Low-count monoclonal B-cell lymphocytosis is defined by the presence of very low numbers of circulating clonal B cells, usually phenotypically similar to chronic lymphocytic leukemia cells, whose biological and clinical significance remains elusive.
Externí odkaz:
https://doaj.org/article/c34e214cda1d47658a35f21496546253
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 83, Iss 2, Pp 619-625 (2011)
BACKGROUND AND OBJECTIVES: We present an updated birth weight-for-gestational-age portrait, based on nearly 8 million observations of an ethnic-mixed population. It comprises the first comprehensive charts with Brazilian data. This contribution inten
Externí odkaz:
https://doaj.org/article/9b3ff6ea6fd84d79aa44ac61543c0b83
Autor:
Vinícius G. Costa, Carlos E. Pedreira
Publikováno v:
Artificial Intelligence Review. 56:4765-4800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2646ccd8818c12c08bae51bd34deec7f
https://doi.org/10.1007/s10462-022-10275-5
https://doi.org/10.1007/s10462-022-10275-5
Autor:
Leire Burgos, Alberto Orfao, Matthias Ritgen, Vincent H.J. van der Velden, Juan Flores-Montero, Carlos E. Pedreira, Javier Verde, Tomas Kalina, Joana Caetano, Sebastian Böttcher, Georgiana Grigore, Paula Fernandez, Jan Philippé, Rafael Fluxa, Sandra Lange, Robby Engelmann, Michaela Novakova, Quentin Lecrevisse, Jacques J. M. van Dongen
Publikováno v:
Dadun. Depósito Académico Digital de la Universidad de Navarra
instname
BLOOD ADVANCES
Blood advances, 6(3), 976-992. American Society of Hematology
Blood Advances, 6(3), 976-992. ELSEVIER
Digital.CSIC. Repositorio Institucional del CSIC
instname
BLOOD ADVANCES
Blood advances, 6(3), 976-992. American Society of Hematology
Blood Advances, 6(3), 976-992. ELSEVIER
Digital.CSIC. Repositorio Institucional del CSIC
Reproducible expert-independent flow-cytometric criteria for the differential diagnoses between mature B-cell neoplasms are lacking. We developed an algorithm-driven classification for these lymphomas by flow cytometry and compared it to the WHO gold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8bf2f115ab74db19922140a8c093f59
https://doi.org/10.1182/bloodadvances.2021005725
https://doi.org/10.1182/bloodadvances.2021005725
Publikováno v:
Anais Estendidos do XXVII Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2021).
We present the Machine Teaching, an online learning environment with two main goals: (1) supporting student practicing and exercise marking; and most important, (2) collecting data on students’ knowledge while they progress. Machine teaching was ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2c328288e2b3d41781a69ac550e6b26
https://doi.org/10.5753/webmedia_estendido.2021.17622
https://doi.org/10.5753/webmedia_estendido.2021.17622
Autor:
Patrícia Moura, Marcelo Gerardin Poirot Land, Jacques J.M. van Dongen, Maria Clara Canellas, Patrícia F R Siqueira, Cristiane Bedran Milito, Fabiana V. Mello, Vitor Botafogo, Elen Oliveira, Danielle Nunes Forny, Alberto Orfao, Ana Luíza Pureza, Sergio Romano, Carlos E. Pedreira, Luíza Simião, Patrícia Mello Ferrão, Francisco Nicanor Macedo, Lisandra A. C. Teixeira, Enrico Bruno-Riscarolli, Elaine Sobral da Costa, Cristiane S. Ferreira-Facio, Daiana V. Lopes
Publikováno v:
Cancers; Volume 13; Issue 19; Pages: 4945
Cancers
Cancers, 13(19). MDPI
Cancers, Vol 13, Iss 4945, p 4945 (2021)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Cancers
Cancers, 13(19). MDPI
Cancers, Vol 13, Iss 4945, p 4945 (2021)
Digital.CSIC. Repositorio Institucional del CSIC
instname
© 2021 by the authors.
Early diagnosis of pediatric cancer is key for adequate patient management and improved outcome. Although multiparameter flow cytometry (MFC) has proven of great utility in the diagnosis and classification of hematologic
Early diagnosis of pediatric cancer is key for adequate patient management and improved outcome. Although multiparameter flow cytometry (MFC) has proven of great utility in the diagnosis and classification of hematologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4710474efaca26ea34fdb0e210127e8b
Autor:
Gabriel Matos Cardoso Leite, Carolina G. Marcelino, Elizabeth F. Wanner, Carlos E. Pedreira, Sancho Salcedo-Sanz, Silvia Jiménez-Fernández
Publikováno v:
CEC
In this work we present a pattern classification approach coupling the Neighbourhood Component Analysis (NCA) classifier with the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO). The standard NCA uses the conjugate gradient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf7dbcd73568200104e2266f20f082a7
https://doi.org/10.1109/cec45853.2021.9504702
https://doi.org/10.1109/cec45853.2021.9504702
Publikováno v:
Computer Methods and Programs in Biomedicine. 178:85-90
Background and Objective Here we propose a decision-tree approach for the differential diagnosis of distinct WHO categories B-cell chronic lymphoproliferative disorders using flow cytometry data. Flow cytometry is the preferred method for the immunop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e7b571541448779df31cda11d0f736c
https://doi.org/10.1016/j.cmpb.2019.06.014
https://doi.org/10.1016/j.cmpb.2019.06.014
Publikováno v:
Pattern Recognition Letters. 125:42-48
In this work, we describe a new method for time series classification (TSC) that consists of modeling time series as probability density functions (PDFs) and applies the divergence (the Integrated Squared Error) between two PDFs as a similarity measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e5d71f41199f885817520f9d0107f2a
https://doi.org/10.1016/j.patrec.2019.03.018
https://doi.org/10.1016/j.patrec.2019.03.018