Welsh, Alec W.
UNSW Sydney
10 papers on CoChatORCID 0000-0002-7389-0513
Most cited papers
- Verified
Caseload midwifery care versus standard maternity care for women of any risk: M@NGO, a randomised controlled trial
Tracy, S. K., Hartz, D. L., Tracy, M. B., Allen, J., Forti, A., Hall, B., White, J., Lainchbury, A., Stapleton, H., Beckmann, M., et al. (2013) · The Lancet
Maternal and Perinatal Health InterventionsMaternal and Neonatal Healthcare
Cited by 288
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STRIDER NZAus: a multicentre randomised controlled trial of sildenafil therapy in early-onset fetal growth restriction
Groom, K., McCowan, L., Mackay, L., Lee, A., Gardener, G., Unterscheider, J., Sekar, R., Dickinson, J., Muller, P., Reid, R., et al. (2019) · BJOG: An International Journal of Obstetrics & Gynaecology
Pregnancy and preeclampsia studiesPregnancy and Medication Impact
Cited by 88
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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
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Quantification of power Doppler and the index 'fractional moving blood volume' (FMBV)
Welsh, A. (2004) · Ultrasound in Obstetrics & Gynecology
Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics
Cited by 44
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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
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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
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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
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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
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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
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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
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