Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Albert Gubern"'
Autor:
Auriléia Aparecida de Brito, Karine Zanella Herculano, Cristiano Rodrigo de Alvarenga-Nascimento, Cintia Estefano-Alves, Cinthya Cosme Gutierrez Duran, Rodrigo Labat Marcos, José Antonio Silva Junior, Maria Cristina Chavantes, Stella Regina Zamuner, Flávio Aimbire, Laia Lladó-Pelfort, Albert Gubern, Anna Fàbrega, Renata Kelly da Palma, Ana Paula Ligeiro de Oliveira
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionCurrently, Chronic Obstructive Pulmonary Disease (COPD) has a high impact on morbidity and mortality worldwide. The increase of CD4+, CD8+ cells expressing NF-κB, STAT4, IFN-γ and perforin are related to smoking habit, smoking history,
Externí odkaz:
https://doaj.org/article/9a6cb2a83ed841098e86fa3b09cf6e59
Autor:
Lucía Álvarez-González, Frances Burden, Dadakhalandar Doddamani, Roberto Malinverni, Emma Leach, Cristina Marín-García, Laia Marín-Gual, Albert Gubern, Covadonga Vara, Andreu Paytuví-Gallart, Marcus Buschbeck, Peter J. I. Ellis, Marta Farré, Aurora Ruiz-Herrera
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
The role of genome folding in the heritability and evolvability of structural variations is not well understood. Here the authors investigate the impact of the three-dimensional genome topology of germ cells in the formation and transmission of gross
Externí odkaz:
https://doaj.org/article/5cdab15c0d4a4507a0b895cb8fb6765a
Autor:
Suzan Vreemann, Jan C. M. van Zelst, Margrethe Schlooz-Vries, Peter Bult, Nicoline Hoogerbrugge, Nico Karssemeijer, Albert Gubern-Mérida, Ritse M. Mann
Publikováno v:
Breast Cancer Research, Vol 20, Iss 1, Pp 1-12 (2018)
Abstract Background Breast magnetic resonance imaging (MRI) is the most sensitive imaging method for breast cancer detection and is therefore offered as a screening technique to women at increased risk of developing breast cancer. However, mammograph
Externí odkaz:
https://doaj.org/article/5c0c15d61d354fc2a7d5477599bca24f
Autor:
Suzan Vreemann, Albert Gubern-Mérida, Cristina Borelli, Peter Bult, Nico Karssemeijer, Ritse M Mann
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0191399 (2018)
Higher background parenchymal enhancement (BPE) could be used for stratification of MRI screening programs since it might be related to a higher breast cancer risk. Therefore, the purpose of this study is to correlate BPE to patient and tumor charact
Externí odkaz:
https://doaj.org/article/ea1ae150eeff45af86967300ed80e7fd
Autor:
Albert Gubern-Mérida, Michiel Kallenberg, Bram Platel, Ritse M Mann, Robert Martí, Nico Karssemeijer
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85952 (2014)
ObjectivesTo objectively evaluate automatic volumetric breast density assessment in Full-Field Digital Mammograms (FFDM) using measurements obtained from breast Magnetic Resonance Imaging (MRI).Material and methodsA commercially available method for
Externí odkaz:
https://doaj.org/article/93fb37c575cc413caef60e8bf73800c7
Convolutional Neural Networks (CNN) have had a huge success in many areas of computer vision and medical image analysis. However, there is still an immense potential for performance improvement in mammogram breast cancer detection Computer-Aided Dete
Externí odkaz:
http://arxiv.org/abs/1808.08273
Autor:
de Moor, Timothy, Rodriguez-Ruiz, Alejandro, Mérida, Albert Gubern, Mann, Ritse, Teuwen, Jonas
Computer-aided detection or decision support systems aim to improve breast cancer screening programs by helping radiologists to evaluate digital mammography (DM) exams. Commonly such methods proceed in two steps: selection of candidate regions for ma
Externí odkaz:
http://arxiv.org/abs/1802.06865
Autor:
Suzanne L. van Winkel, Ioannis Sechopoulos, Ritse M. Mann, Linda Appelman, Jonas Teuwen, Alejandro Rodriguez-Ruiz, Alexander J. T. Wanders, Albert Gubern-Mérida, Nico Karssemeijer
Publikováno v:
European Radiology
European Radiology, 31, 11, pp. 8682-8691
European Radiology, 31, 8682-8691
European Radiology, 31, 11, pp. 8682-8691
European Radiology, 31, 8682-8691
Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36aafc91193c7f3463b4ddb7b09bdfeb
https://hdl.handle.net/2066/245190
https://hdl.handle.net/2066/245190
Autor:
Sara Romero-Martín, Esperanza Elías-Cabot, José Luis Raya-Povedano, Albert Gubern-Mérida, Alejandro Rodríguez-Ruiz, Marina Álvarez-Benito
Publikováno v:
Radiology. 302(3)
Background Use of artificial intelligence (AI) as a stand-alone reader for digital mammography (DM) or digital breast tomosynthesis (DBT) breast screening could ease radiologists' workload while maintaining quality. Purpose To retrospectively evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::504858f696357c2b16e163aca8a388a8
https://pubmed.ncbi.nlm.nih.gov/34904877
https://pubmed.ncbi.nlm.nih.gov/34904877
Autor:
Lucía Álvarez-González, Frances Burden, Dadakhalandar Doddamani, Roberto Malinverni, Emma Leach, Cristina Marín-García, Laia Marín-Gual, Albert Gubern, Covadonga Vara, Andreu Paytuví-Gallart, Marcus Buschbeck, Peter J. I. Ellis, Marta Farré, Aurora Ruiz-Herrera
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Nature Communications
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
instname
Universitat Autònoma de Barcelona
Nature Communications
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
instname
The role of genome folding in the heritability and evolvability of structural variations is not well understood. Here the authors investigate the impact of the three-dimensional genome topology of germ cells in the formation and transmission of gross
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6174e3a8e913b44a749e1e15227b33d7
https://pubmed.ncbi.nlm.nih.gov/35546158
https://pubmed.ncbi.nlm.nih.gov/35546158