Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cláudia S, Constantino"'
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis
Publikováno v:
BioData Mining, Vol 14, Iss 1, Pp 1-18 (2021)
Abstract Background Longitudinal gene expression analysis and survival modeling have been proved to add valuable biological and clinical knowledge. This study proposes a novel framework to discover gene signatures and patterns in a high-dimensional t
Externí odkaz:
https://doaj.org/article/f1128925fad44248bef1d9684dbf5cb4
Autor:
Cláudia S. Constantino, Sónia Leocádio, Francisco P. M. Oliveira, Mariana Silva, Carla Oliveira, Joana C. Castanheira, Ângelo Silva, Sofia Vaz, Ricardo Teixeira, Manuel Neves, Paulo Lúcio, Cristina João, Durval C. Costa
Publikováno v:
Journal of Digital Imaging.
The objective is to assess the performance of seven semiautomatic and two fully automatic segmentation methods on [18F]FDG PET/CT lymphoma images and evaluate their influence on tumor quantification. All lymphoma lesions identified in 65 whole-body [
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::106fbcfc543ce7cdb7998e614c5dcac8
https://doi.org/10.1007/s10278-023-00823-y
https://doi.org/10.1007/s10278-023-00823-y
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis
Publikováno v:
BioData Mining, Vol 14, Iss 1, Pp 1-18 (2021)
BioData Mining
BioData Mining
Background Longitudinal gene expression analysis and survival modeling have been proved to add valuable biological and clinical knowledge. This study proposes a novel framework to discover gene signatures and patterns in a high-dimensional time serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b635a51e4405d44f23bc4e2afa76c0b
https://doi.org/10.1186/s13040-021-00257-8
https://doi.org/10.1186/s13040-021-00257-8
Autor:
Ângelo F. Silva, Durval C. Costa, Joana C. Castanheira, Mariana Silva, Carla Oliveira, Francisco P. M. Oliveira, Pedro Vieira, Cláudia S. Constantino, Sofia C. Vaz
Publikováno v:
European Radiology, 31(5), 3071-3079. SPRINGER
To compare lesion features extracted from 18F-FDG PET/CT images acquired on analog and digital scanners, on consecutive imaging data from the same subjects. Whole-body 18F-FDG PET/CT images from 55 oncological patients were acquired twice after a sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f159f6a8205080855ca3e6fcef8d0b6b
https://hdl.handle.net/1887/3277490
https://hdl.handle.net/1887/3277490
Autor:
Cláudia S, Constantino, Francisco P M, Oliveira, Mariana, Silva, Carla, Oliveira, Joana C, Castanheira, Ângelo, Silva, Sofia C, Vaz, Pedro, Vieira, Durval C, Costa
Publikováno v:
European radiology. 31(5)
To compare lesion features extracted fromWhole-bodyIn total, 323Under controlled acquisition and reconstruction parameters, most of the features studied can be used for research and clinical work. This is especially important for multicenter studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::97508dbd4c383eb78896e6b5c994e25a
https://pubmed.ncbi.nlm.nih.gov/33125562
https://pubmed.ncbi.nlm.nih.gov/33125562
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645823
LOD (1)
LOD (1)
Rheumatoid arthritis (RA) is a long-term autoimmune disease that severely affects physical function and quality of life. Patients diagnosed with RA are usually treated with anti-tumor necrosis factor (anti-TNF), which in certain cases do not contribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43227a2fadff58151ea74c1426677145
https://doi.org/10.1007/978-3-030-64583-0_13
https://doi.org/10.1007/978-3-030-64583-0_13