Craik, Rachel

Preeclampsia and COVID-19: results from the INTERCOVID prospective longitudinal study

Papageorghiou, A. T., Deruelle, P., Gunier, R. B., Rauch, S., García-May, P. K., Mhatre, M., Usman, M. A., Abd-Elsalam, S., Etuk, S., Simmons, L. E., et al. (2021) · American Journal of Obstetrics and Gynecology

Pregnancy and preeclampsia studiesCOVID-19 Impact on Reproduction

Cited by 311

Human candidate gene polymorphisms and risk of severe malaria in children in Kilifi, Kenya: a case-control association study

Ndila, C. M., Uyoga, S., Macharia, A. W., Nyutu, G., Peshu, N., Ojal, J., Shebe, M., Awuondo, K. O., Mturi, N., Tsofa, B., et al. (2018) · The Lancet Haematology

Malaria Research and ControlHemoglobinopathies and Related Disorders

Cited by 108

Machine learning for accurate estimation of fetal gestational age based on ultrasound images

Lee, L. H., Bradburn, E., Craik, R., Yaqub, M., Norris, S. A., Ismail, L. C., Ohuma, E. O., Barros, F. C., Lambert, A., Carvalho, M., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationPrenatal Screening and Diagnostics

Cited by 59

Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis

Maraci, M. A., Yaqub, M., Craik, R., Beriwal, S., Self, A., von Dadelszen, P., Papageorghiou, A., & Noble, J. A. (2020) · Journal of medical imaging

Artificial Intelligence in Healthcare and EducationUltrasound in Clinical Applications

Cited by 36