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A deep learning framework to classify breast density with noisy labels regularization.
Comput Methods Programs Biomed. 2022 Jun;221:106885. doi: 10.1016/j.cmpb.2022.106885. Epub 2022 May 12.
Comput Methods Programs Biomed. 2022.
PMID: 35594581
Free article.
Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach.
Larroza A, Pérez-Benito FJ, Perez-Cortes JC, Román M, Pollán M, Pérez-Gómez B, Salas-Trejo D, Casals M, Llobet R.
Larroza A, et al. Among authors: perez benito fj.
Diagnostics (Basel). 2022 Jul 28;12(8):1822. doi: 10.3390/diagnostics12081822.
Diagnostics (Basel). 2022.
PMID: 36010173
Free PMC article.
Item in Clipboard
Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients.
Catala ODT, Igual IS, Perez-Benito FJ, Escriva DM, Castello VO, Llobet R, Perez-Cortes JC.
Catala ODT, et al. Among authors: perez benito fj.
IEEE Access. 2021 Mar 10;9:42370-42383. doi: 10.1109/ACCESS.2021.3065456. eCollection 2021.
IEEE Access. 2021.
PMID: 34812384
Free PMC article.
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A happiness degree predictor using the conceptual data structure for deep learning architectures.
Pérez-Benito FJ, Villacampa-Fernández P, Conejero JA, García-Gómez JM, Navarro-Pardo E.
Pérez-Benito FJ, et al.
Comput Methods Programs Biomed. 2019 Jan;168:59-68. doi: 10.1016/j.cmpb.2017.11.004. Epub 2017 Nov 13.
Comput Methods Programs Biomed. 2019.
PMID: 29183649
Free article.
Item in Clipboard
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years.
Pérez-Benito FJ, Sáez C, Conejero JA, Tortajada S, Valdivieso B, García-Gómez JM.
Pérez-Benito FJ, et al.
PLoS One. 2019 Aug 7;14(8):e0220369. doi: 10.1371/journal.pone.0220369. eCollection 2019.
PLoS One. 2019.
PMID: 31390350
Free PMC article.
Item in Clipboard
A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation.
Pérez-Benito FJ, Signol F, Perez-Cortes JC, Fuster-Baggetto A, Pollan M, Pérez-Gómez B, Salas-Trejo D, Casals M, Martínez I, LLobet R.
Pérez-Benito FJ, et al.
Comput Methods Programs Biomed. 2020 Oct;195:105668. doi: 10.1016/j.cmpb.2020.105668. Epub 2020 Jul 24.
Comput Methods Programs Biomed. 2020.
PMID: 32755754
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Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts.
Pérez-Benito FJ, Signol F, Pérez-Cortés JC, Pollán M, Pérez-Gómez B, Salas-Trejo D, Casals M, Martínez I, LLobet R.
Pérez-Benito FJ, et al.
Comput Methods Programs Biomed. 2019 Aug;177:123-132. doi: 10.1016/j.cmpb.2019.05.022. Epub 2019 May 22.
Comput Methods Programs Biomed. 2019.
PMID: 31319940
Free article.
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