All Stories

  1. VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization

    Article • NMR in Biomedicine, October 2018, Wiley

    Elisenda Bonet-Carne

  2. Clinical Feasibility of Quantitative Ultrasound Texture Analysis: A Robustness Study Using Fetal Lung Ultrasound Images

    Article • Journal of Ultrasound in Medicine, September 2018, Wiley

    Elisenda Bonet-Carne

  3. VERDICT Prostate Parameter Estimation with AMICO

    Article • January 2018, Springer Science + Business Media

    Elisenda Bonet-Carne

  4. Prediction of neonatal respiratory morbidity by quantitative ultrasound lung texture analysis: a multicenter study

    Article • American Journal of Obstetrics and Gynecology, August 2017, Elsevier

    Elisenda Bonet-Carne

  5. INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer

    Article • BMC Cancer, October 2016, Springer Science + Business Media

    Elisenda Bonet-Carne

  6. Quantitative Analysis of the Cervical Texture by Ultrasound and Correlation with Gestational Age

    Article • Fetal Diagnosis and Therapy, August 2016, Karger Publishers

    Elisenda Bonet-Carne

  7. Quantitative ultrasound texture analysis of fetal lungs to predict neonatal respiratory morbidity

    Article • Ultrasound in Obstetrics and Gynecology, April 2015, Wiley

    Elisenda Bonet-Carne

  8. PS-193 Quantitative Cranial Ultrasound (crus) Analysis In Relation To Outcome At 2 Years Of Age In Preterm Infants

    Article • Archives of Disease in Childhood, October 2014, BMJ

    Elisenda Bonet-Carne

  9. Correlation of Quantitative Texture Analysis of Cranial Ultrasound With Later Neurobehavior in Preterm Infants

    Article • Ultrasound in Medicine & Biology, September 2014, Elsevier

    Francesc Botet, Elisenda Bonet-Carne

  10. Automatic Quantitative MRI Texture Analysis in Small-for-Gestational-Age Fetuses Discriminates Abnormal Neonatal Neurobehavior

    Article • PLoS ONE, July 2013, PLOS

    Elisenda Bonet-Carne

  11. Fetal Brain MRI Texture Analysis Identifies Different Microstructural Patterns in Adequate and Small for Gestational Age Fetuses at Term

    Article • Fetal Diagnosis and Therapy, January 2013, Karger Publishers

    Elisenda Bonet-Carne

  12. Performance of an automatic quantitative ultrasound analysis of the fetal lung to predict fetal lung maturity

    Article • American Journal of Obstetrics and Gynecology, December 2012, Elsevier

    Elisenda Bonet-Carne

  13. Consistent association between image features of fetal lungs from different ultrasound equipments and fetal lung maturity from amniocentesis

    Article • May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Elisenda Bonet-Carne

  14. Feasibility and Reproducibility of Fetal Lung Texture Analysis by Automatic Quantitative Ultrasound Analysis and Correlation with Gestational Age

    Article • Fetal Diagnosis and Therapy, January 2012, Karger Publishers

    Elisenda Bonet-Carne

  15. Correlation between Semiautomated Quantification of Cranial Ultrasound Images and Neurobehavior in Very Preterm Infants at Term

    Article • Pediatric Research, November 2011, Springer Science + Business Media

    Elisenda Bonet-Carne

  16. Correlation Between a Semiautomated Method Based on Ultrasound Texture Analysis and Standard Ultrasound Diagnosis Using White Matter Damage in Preterm Neonates as a Model

    Article • Journal of Ultrasound in Medicine, October 2011, Wiley

    Francesc Botet, Elisenda Bonet-Carne

  17. Evaluation of semiautomated quantification of cranial ultrasound images in newborns as a predictor of Neonatal Behavioral Assessment Scale

    Article • March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Elisenda Bonet-Carne

  18. 595 Correlation Between Ultrasound Texture Analysis of the Cerebellum and Standard Diagnosis of White Matter Damage in Preterm Neonates

    Article • Pediatric Research, November 2010, Springer Science + Business Media

    Elisenda Bonet-Carne