Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Eunice Carrasquinha"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-36 (2024)
Abstract Background High-dimensional omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential to improve predictive models. However, the data integration process faces several challenge
Externí odkaz:
https://doaj.org/article/6782224d4d6e4c348559e330ec160841
Autor:
Carlo Greco, MD, Oriol Pares, MD, Nuno Pimentel, MD, Vasco Louro, MD, Javier Morales, MD, Beatriz Nunes, MD, Inês Antunes, MD, Ana Luisa Vasconcelos, MD, Justyna Kociolek, MD, Joana Castanheira, MD, Carla Oliveira, MD, Angelo Silva, MD, Sofia Vaz, MD, Francisco Oliveira, PhD, Eunice Carrasquinha, PhD, Durval Costa, MD, Zvi Fuks, MD
Publikováno v:
Advances in Radiation Oncology, Vol 7, Iss 2, Pp 100864- (2022)
Purpose: Early positron emission tomography–derived metrics post–oligometastasis radioablation may predict impending local relapses (LRs), providing a basis for a timely ablation. Methods and Materials: Positron emission tomography data of 623 le
Externí odkaz:
https://doaj.org/article/c14d535e66304b1bae6dc2432c8aeb8e
Autor:
Ana S. C. Verde, Joao Santinha, Eunice Carrasquinha, Nuno Loucao, Ana Gaivao, Jorge Fonseca, Celso Matos, Nikolaos Papanikolaou
Publikováno v:
Insights into Imaging, Vol 11, Iss 1, Pp 1-12 (2020)
Abstract Objectives To study the diffusion tensor-based fiber tracking feasibility to access the male urethral sphincter complex of patients with prostate cancer undergoing Retzius-sparing robot-assisted laparoscopic radical prostatectomy (RS-RARP).
Externí odkaz:
https://doaj.org/article/eaaec127c44b470c8f870262f676fcbc
Autor:
Hugo Loureiro, Eunice Carrasquinha, Irina Alho, Arlindo R. Ferreira, Luís Costa, Alexandra M. Carvalho, Susana Vinga
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background Joint models (JM) have emerged as a promising statistical framework to concurrently analyse survival data and multiple longitudinal responses. This is particularly relevant in clinical studies where the goal is to estimate the ass
Externí odkaz:
https://doaj.org/article/a8b550c900e8443bacb079b85c701dab
Autor:
Marta B. Lopes, André Veríssimo, Eunice Carrasquinha, Sandra Casimiro, Niko Beerenwinkel, Susana Vinga
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-15 (2018)
Abstract Background Learning accurate models from ‘omics data is bringing many challenges due to their inherent high-dimensionality, e.g. the number of gene expression variables, and comparatively lower sample sizes, which leads to ill-posed invers
Externí odkaz:
https://doaj.org/article/2e73e1be010c4d1f9ef4b704c68dcddb
Publikováno v:
BioData Mining, Vol 11, Iss 1, Pp 1-14 (2018)
Abstract Background Survival analysis is a statistical technique widely used in many fields of science, in particular in the medical area, and which studies the time until an event of interest occurs. Outlier detection in this context has gained grea
Externí odkaz:
https://doaj.org/article/23733c4e2afb42ba8207f70ed23e6a5c
Publikováno v:
Neurocomputing. 513:215-232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c33880983beb75f8fa3275969f9dc6
https://doi.org/10.1016/j.neucom.2022.09.101
https://doi.org/10.1016/j.neucom.2022.09.101
Autor:
Nikolaos Papanikolaou, Ana S. C. Verde, Celso Matos, Nuno Loução, João Santinha, Ana Mascarenhas Gaivão, Eunice Carrasquinha, Jorge Fonseca
Publikováno v:
Insights into Imaging
Insights into Imaging, Vol 11, Iss 1, Pp 1-12 (2020)
Insights into Imaging, Vol 11, Iss 1, Pp 1-12 (2020)
Objectives To study the diffusion tensor-based fiber tracking feasibility to access the male urethral sphincter complex of patients with prostate cancer undergoing Retzius-sparing robot-assisted laparoscopic radical prostatectomy (RS-RARP). Methods T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5abae93c0c501dd572126b1f1432acb
https://pubmed.ncbi.nlm.nih.gov/33245443
https://pubmed.ncbi.nlm.nih.gov/33245443
Publikováno v:
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783030630607
CIBB
CIBB
Random sample consensus (Ransac) is a technique that has been widely used for modeling data with a large amount of noise. Although successfully employed in areas such as computer vision, extensive testing and applications to clinical data, particular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c0193c9245f9b3fa3dc62c467938fb
https://doi.org/10.1007/978-3-030-63061-4_11
https://doi.org/10.1007/978-3-030-63061-4_11
Autor:
Alexander Mongolin, Leonardo Vanneschi, João Santinha, Joana Ribeiro, Celso Matos, Fatima Cardoso, Maria Lisitskiya, Eunice Carrasquinha, Nickolas Papanikolaou
Publikováno v:
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783030630607
CIBB
CIBB
Clinicians have shown an increasing interest in quantitative imaging for precision medicine. Imaging features can extract distinct phenotypic differences of tumours, potentially they can be used as a non-invasive prognostic tool and contribute for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e999cc1bc53209fa550838b6cce1a414
https://doi.org/10.1007/978-3-030-63061-4_24
https://doi.org/10.1007/978-3-030-63061-4_24