Martí-Bonmatí L - Search Results

1

MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging.

Fernández Patón M, Cerdá Alberich L, Sangüesa Nebot C, Martínez de Las Heras B, Veiga Canuto D, Cañete Nieto A, Martí-Bonmatí L. Fernández Patón M, et al. J Digit Imaging. 2021 Oct;34(5):1134-1145. doi: 10.1007/s10278-021-00512-8. Epub 2021 Sep 10. J Digit Imaging. 2021. PMID: 34505958 Free PMC article.

2

Adaptive non-local means denoising of MR images with spatially varying noise levels.

Manjón JV, Coupé P, Martí-Bonmatí L, Collins DL, Robles M. Manjón JV, et al. J Magn Reson Imaging. 2010 Jan;31(1):192-203. doi: 10.1002/jmri.22003. J Magn Reson Imaging. 2010. PMID: 20027588 Free article.

3

[Acoustic radiation force impulse imaging elastography is efficacious in detecting hepatic fibrosis in children].

Picó Aliaga SD, Muro Velilla D, García-Martí G, Sangüesa Nebot C, Martí-Bonmatí L. Picó Aliaga SD, et al. Radiologia. 2015 Jul-Aug;57(4):314-20. doi: 10.1016/j.rx.2014.04.005. Epub 2014 Jul 9. Radiologia. 2015. PMID: 25015554 Free article. Spanish.

4

PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers.

Martí-Bonmatí L, Alberich-Bayarri Á, Ladenstein R, Blanquer I, Segrelles JD, Cerdá-Alberich L, Gkontra P, Hero B, García-Aznar JM, Keim D, Jentner W, Seymour K, Jiménez-Pastor A, González-Valverde I, Martínez de Las Heras B, Essiaf S, Walker D, Rochette M, Bubak M, Mestres J, Viceconti M, Martí-Besa G, Cañete A, Richmond P, Wertheim KY, Gubala T, Kasztelnik M, Meizner J, Nowakowski P, Gilpérez S, Suárez A, Aznar M, Restante G, Neri E. Martí-Bonmatí L, et al. Eur Radiol Exp. 2020 Apr 3;4(1):22. doi: 10.1186/s41747-020-00150-9. Eur Radiol Exp. 2020. PMID: 32246291 Free PMC article.

5

A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors.

Cerdá Alberich L, Sangüesa Nebot C, Alberich-Bayarri A, Carot Sierra JM, Martínez de Las Heras B, Veiga Canuto D, Cañete A, Martí-Bonmatí L. Cerdá Alberich L, et al. Cancers (Basel). 2020 Dec 21;12(12):3858. doi: 10.3390/cancers12123858. Cancers (Basel). 2020. PMID: 33371218 Free PMC article.

6

Machine Learning-Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer.

Rodríguez-Ortega A, Alegre A, Lago V, Carot-Sierra JM, Ten-Esteve A, Montoliu G, Domingo S, Alberich-Bayarri Á, Martí-Bonmatí L. Rodríguez-Ortega A, et al. J Magn Reson Imaging. 2021 Sep;54(3):987-995. doi: 10.1002/jmri.27625. Epub 2021 Apr 1. J Magn Reson Imaging. 2021. PMID: 33793008 Free article.

7

Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease.

Marti-Aguado D, Fernández-Patón M, Alfaro-Cervello C, Mestre-Alagarda C, Bauza M, Gallen-Peris A, Merino V, Benlloch S, Pérez-Rojas J, Ferrández A, Puglia V, Gimeno-Torres M, Aguilera V, Monton C, Escudero-García D, Alberich-Bayarri Á, Serra MA, Marti-Bonmati L. Marti-Aguado D, et al. Biomolecules. 2021 Dec 2;11(12):1808. doi: 10.3390/biom11121808. Biomolecules. 2021. PMID: 34944452 Free PMC article.

8

[Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray].

Calvillo-Batllés P, Cerdá-Alberich L, Fonfría-Esparcia C, Carreres-Ortega A, Muñoz-Núñez CF, Trilles-Olaso L, Martí-Bonmatí L. Calvillo-Batllés P, et al. Radiologia. 2022 May-Jun;64(3):214-227. doi: 10.1016/j.rx.2021.09.011. Epub 2021 Nov 9. Radiologia. 2022. PMID: 35370310 Free PMC article. Spanish.

9

A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data.

Baeza-Delgado C, Cerdá Alberich L, Carot-Sierra JM, Veiga-Canuto D, Martínez de Las Heras B, Raza B, Martí-Bonmatí L. Baeza-Delgado C, et al. Eur Radiol Exp. 2022 Jun 1;6(1):22. doi: 10.1186/s41747-022-00276-y. Eur Radiol Exp. 2022. PMID: 35641659 Free PMC article.

10

Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray.

Calvillo-Batllés P, Cerdá-Alberich L, Fonfría-Esparcia C, Carreres-Ortega A, Muñoz-Núñez CF, Trilles-Olaso L, Martí-Bonmatí L. Calvillo-Batllés P, et al. Radiologia (Engl Ed). 2022 May-Jun;64(3):214-227. doi: 10.1016/j.rxeng.2021.09.004. Epub 2022 Jan 21. Radiologia (Engl Ed). 2022. PMID: 35676053 Free PMC article.

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