Plasencia, Walter

Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia

Rolnik, D. L., Wright, D., Poon, L. C., O’Gorman, N., Syngelaki, A., de Paco Matallana, C., Akolekar, R., Cicero, S., Janga, D., Singh, M., et al. (2017) · New England Journal of Medicine

Pregnancy and preeclampsia studiesNeurological Complications and Syndromes

Cited by 2,287

Screening for pre-eclampsia by maternal factors and biomarkers at 11–13 weeks’ gestation

Tan, M. Y., Syngelaki, A., Poon, L. C., Rolnik, D. L., O'Gorman, N., Delgado, J. L., Akolekar, R., Konstantinidou, L., Tsavdaridou, M., Galeva, S., et al. (2018) · Ultrasound in Obstetrics & Gynecology

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 438

Uterine artery Doppler at 11 + 0 to 13 + 6 weeks in the prediction of pre‐eclampsia

Plasencia, W., Maiz, N., Bonino, S., Kaihura, C., & Nicolaides, K. H. (2007) · Ultrasound in Obstetrics & Gynecology

Pregnancy and preeclampsia studiesNeurological Complications and Syndromes

Cited by 425

Fully automated, real-time 3D ultrasound segmentation to estimate first trimester placental volume using deep learning

Looney, P., Stevenson, G. N., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Collins, S. L. (2018) · JCI Insight

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 112

Placental Volume at 11–13 Weeks’ Gestation in the Prediction of Birth Weight Percentile

Plasencia, W., Akolekar, R., Dagklis, T., Veduta, A., & Nicolaides, K. H. (2011) · Fetal Diagnosis and Therapy

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 86

Automatic 3D ultrasound segmentation of the first trimester placenta using deep learning

Looney, P., Stevenson, G. N., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Collins, S. L. (2017) · 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 47

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment

Looney, P., Yin, Y., Collins, S. L., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Stevenson, G. N. (2021) · IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 40