Stevenson, Gordon N.

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

Understanding abnormal uterine artery Doppler waveforms: a novel computational model to explore potential causes within the utero-placental vasculature

Clark, A. R., James, J. L., Stevenson, G. N., & Collins, S. L. (2018) · Placenta

Pregnancy and preeclampsia studiesNeurological Complications and Syndromes

Cited by 86

Measurement of spiral artery jets: general principles and differences observed in small-for-gestational-age pregnancies

Collins, S. L., Birks, J. S., Stevenson, G. N., Papageorghiou, A. T., Noble, J. A., & Impey, L. (2012) · Ultrasound in Obstetrics & Gynecology

Pregnancy and preeclampsia studiesReproductive System and Pregnancy

Cited by 55

Influence of power Doppler gain setting on Virtual Organ Computer‐aided AnaLysis indices in vivo: can use of the individual sub‐noise gain level optimize information?

Collins, S. L., Stevenson, G. N., Noble, J. A., Impey, L., & Welsh, A. W. (2012) · Ultrasound in Obstetrics & Gynecology

Ultrasound in Clinical ApplicationsPregnancy and preeclampsia studies

Cited by 52

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

3-D Ultrasound Segmentation of the Placenta Using the Random Walker Algorithm: Reliability and Agreement

Stevenson, G. N., Collins, S. L., Ding, J., Impey, L., & Noble, J. A. (2015) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 46

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

Rapid Calculation of Standardized Placental Volume at 11 to 13 Weeks and the Prediction of Small for Gestational Age Babies

Collins, S. L., Stevenson, G. N., Noble, J. A., & Impey, L. (2013) · Ultrasound in Medicine & Biology

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 39

A technique for the estimation of fractional moving blood volume by using three-dimensional power Doppler US

Stevenson, G. N., Collins, S. L., Welsh, A. W., Impey, L. W., & Noble, J. A. (2015) · Radiology

Medical Image Segmentation TechniquesUltrasound Imaging and Elastography

Cited by 38

Three-dimensional US Fractional Moving Blood Volume: Validation of Renal Perfusion Quantification

Welsh, A. W., Fowlkes, J. B., Pinter, S. Z., Ives, K. A., Owens, G. E., Rubin, J. M., Kripfgans, O. D., Looney, P., Collins, S. L., & Stevenson, G. N. (2019) · Radiology

Renal and Vascular PathologiesMedical Image Segmentation Techniques

Cited by 31

Multi-Parametric Fusion of 3D Power Doppler Ultrasound for Fetal Kidney Segmentation Using Fully Convolutional Neural Networks

Weerasinghe, N. H., Lovell, N. H., Welsh, A. W., & Stevenson, G. N. (2021) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 27

3D fractional moving blood volume (3D-FMBV) demonstrates decreased first trimester placental vascularity in pre-eclampsia but not the term, small for gestation age baby

Collins, S. L., Welsh, A. W., Impey, L., Noble, J. A., & Stevenson, G. N. (2017) · PLOS ONE

Pregnancy and preeclampsia studiesNeurological Complications and Syndromes

Cited by 25

Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound

Philip, M. E., Sowmya, A., Avnet, H., Ferreira, A., Stevenson, G., & Welsh, A. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 18

Inapplicability of fractional moving blood volume technique to standardize Virtual Organ Computer-aided AnaLysis indices for quantified three-dimensional power Doppler

Welsh, A. W., Collins, S. L., Stevenson, G. N., Noble, J. A., & Impey, L. (2012) · Ultrasound in Obstetrics & Gynecology

Ultrasound in Clinical ApplicationsPregnancy and preeclampsia studies

Cited by 15

Comparison of 2-D and 3-D estimates of placental volume in early pregnancy

Aye, C. Y. L., Stevenson, G. N., Impey, L., & Collins, S. L. (2015) · Ultrasound in Medicine & Biology

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 13