Collins, Sally L.

The visual analogue pain intensity scale: what is moderate pain in millimetres?

Collins, S. L., Moore, A. R., & McQuay, H. J. (1997) · Pain

Pain Management and Opioid UseAnesthesia and Pain Management

Cited by 1,543

Placenta accreta spectrum: pathophysiology and evidence-based anatomy for prenatal ultrasound imaging

Jauniaux, E., Collins, S., & Burton, G. J. (2018) · American Journal of Obstetrics and Gynecology

Maternal and fetal healthcarePregnancy and preeclampsia studies

Cited by 775

FIGO classification for the clinical diagnosis of placenta accreta spectrum disorders,

Jauniaux, E., Ayres‐de‐Campos, D., Langhoff‐Roos, J., Fox, K. A., Collins, S., & Panel, F. P. A. D. A. M. E. C. (2019) · International Journal of Gynecology & Obstetrics

Maternal and fetal healthcarePregnancy and preeclampsia studies

Cited by 668

Evidence-based guidelines for the management of abnormally invasive placenta: recommendations from the International Society for Abnormally Invasive Placenta

Collins, S. L., Alemdar, B., van Beekhuizen, H. J., Bertholdt, C., Braun, T., Calda, P., Delorme, P., Duvekot, J. J., Gronbeck, L., Kayem, G., et al. (2019) · American Journal of Obstetrics and Gynecology

Maternal and fetal healthcareMaternal and Perinatal Health Interventions

Cited by 350

Proposal for standardized ultrasound descriptors of abnormally invasive placenta ( AIP )

Collins, S. L., Ashcroft, A., Braun, T., Calda, P., Langhoff‐Roos, J., Morel, O., Stefanovic, V., Tutschek, B., Chantraine, F., & on behalf of the European Working Group on Abnormally Invasive Placenta (EW‐AIP) (2016) · Ultrasound in Obstetrics & Gynecology

Maternal and fetal healthcarePregnancy and preeclampsia studies

Cited by 331

Accreta placentation: a systematic review of prenatal ultrasound imaging and grading of villous invasiveness

Jauniaux, E., Collins, S. L., Jurkovic, D., & Burton, G. J. (2016) · American Journal of Obstetrics and Gynecology

Maternal and fetal healthcarePregnancy and preeclampsia studies

Cited by 208

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

The modified radical peripartum cesarean hysterectomy (Soleymani-Alazzam-Collins technique): a systematic, safe procedure for the management of severe placenta accreta spectrum

Soleymani majd, H., Collins, S. L., Addley, S., Weeks, E., Chakravarti, S., Halder, S., & Alazzam, M. (2021) · American Journal of Obstetrics and Gynecology

Maternal and fetal healthcareUterine Myomas and Treatments

Cited by 48

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

Placenta accreta spectrum – variations in clinical practice and maternal morbidity between the UK and France: a population‐based comparative study

McCall, S. J., Deneux‐Tharaux, C., Sentilhes, L., Ramakrishnan, R., Collins, S. L., Seco, A., Kurinczuk, J. J., Knight, M., & Kayem, G. (2022) · BJOG: An International Journal of Obstetrics & Gynaecology

Maternal and fetal healthcareBlood transfusion and management

Cited by 38

Deep Learning Strategies for Ultrasound in Pregnancy

Diniz, P. H. B., Yin, Y., & Collins, S. (2020) · EMJ Reproductive Health

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 32

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

Volume and vascularity: Using ultrasound to unlock the secrets of the first trimester placenta

Mathewlynn, S., & Collins, S. L. (2019) · Placenta

Pregnancy and preeclampsia studiesPrenatal Screening and Diagnostics

Cited by 30

Abdominal pregnancy: a perfusion confusion?

Collins, S. L., Grant, D., Black, R. S., Vellayan, M., & Impey, L. (2011) · Placenta

Pregnancy and preeclampsia studiesMaternal and fetal healthcare

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

Are women antenatally diagnosed with abnormally invasive placenta receiving optimal management in England? An observational study of planned place of delivery

Sargent, W., & Collins, S. L. (2019) · Acta Obstetricia et Gynecologica Scandinavica

Maternal and fetal healthcareMaternal and Perinatal Health Interventions

Cited by 21

Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks

Qi, H., Collins, S., & Noble, A. (2017) · Communications in computer and information science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 17