Rafael Llobet
Overview
Explore the profile of Rafael Llobet including associated specialties, affiliations and a list of published articles.
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Articles
23
Citations
56
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Recent Articles
1.
Jimenez T, Dominguez-Castillo A, Fernandez de Larrea-Baz N, Lucas P, Sierra M, Maeso S, et al.
Environ Health Prev Med
. 2024 Nov;
29:65.
PMID: 39581598
Background: Mammographic density (MD) is a well-established risk factor for breast cancer. Air pollution is a major public health concern and a recognized carcinogen. We aim to investigate the association...
2.
Larroza A, Perez-Benito F, Tendero R, Perez-Cortes J, Roman M, Llobet R
Diagnostics (Basel)
. 2024 May;
14(10).
PMID: 38786313
Breast cancer is a major health concern worldwide. Mammography, a cost-effective and accurate tool, is crucial in combating this issue. However, low contrast, noise, and artifacts can limit the diagnostic...
3.
Jimenez T, Dominguez-Castillo A, Fernandez de Larrea-Baz N, Lucas P, Sierra M, Salas-Trejo D, et al.
Sci Total Environ
. 2024 Apr;
928:172463.
PMID: 38615764
Background: Mammographic density (MD) is the most important breast cancer biomarker. Ambient pollution is a carcinogen, and its relationship with MD is unclear. This study aims to explore the association...
4.
Jimenez T, Pollan M, Dominguez-Castillo A, Lucas P, Sierra M, Castello A, et al.
Sci Total Environ
. 2023 Mar;
876:162768.
PMID: 36907418
Background: Mammographic density (MD), defined as the percentage of dense fibroglandular tissue in the breast, is a modifiable marker of the risk of developing breast cancer. Our objective was to...
5.
Signol F, Arnal L, Navarro-Cerdan J, Llobet R, Arlandis J, Perez-Cortes J
Comput Biol Med
. 2022 Dec;
152:106413.
PMID: 36521355
This paper describes an ensemble feature identification algorithm called SEQENS, and measures its capability to identify the relevant variables in a case-control study using a genetic expression microarray dataset. SEQENS...
6.
Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach
Larroza A, Perez-Benito F, Perez-Cortes J, Roman M, Pollan M, Perez-Gomez B, et al.
Diagnostics (Basel)
. 2022 Aug;
12(8).
PMID: 36010173
Breast density assessed from digital mammograms is a known biomarker related to a higher risk of developing breast cancer. Supervised learning algorithms have been implemented to determine this. However, the...
7.
Lopez-Almazan H, Perez-Benito F, Larroza A, Perez-Cortes J, Pollan M, Perez-Gomez B, et al.
Comput Methods Programs Biomed
. 2022 May;
221:106885.
PMID: 35594581
Background And Objective: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data...
8.
Jimenez T, Pollan M, Dominguez-Castillo A, Lucas P, Sierra M, Fernandez de Larrea-Baz N, et al.
Sci Total Environ
. 2022 Mar;
829:154578.
PMID: 35304152
Background: Mammographic density (MD), expressed as percentage of fibroglandular breast tissue, is an important risk factor for breast cancer. Our objective is to investigate the relationship between MD and residential...
9.
Catala O, Igual I, Perez-Benito F, Escriva D, Castello V, Llobet R, et al.
IEEE Access
. 2021 Nov;
9:42370-42383.
PMID: 34812384
Chest X-ray images are useful for early COVID-19 diagnosis with the advantage that X-ray devices are already available in health centers and images are obtained immediately. Some datasets containing X-ray...
10.
Jimenez T, Garcia-Perez J, van der Haar R, Alba M, Lucas P, Sierra M, et al.
Environ Res
. 2021 Feb;
195:110816.
PMID: 33524328
Introduction: Mammographic density (MD), the proportion of radiologically dense breast tissue, is a strong risk factor for breast cancer. Our objective is to investigate the influence of occupations and occupational...