Rachel Craik

According to our database, Rachel Craik authored at least 3 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Lok Hin Lee, Elizabeth Bradburn, Rachel Craik, Mohammad Yaqub, Shane A. Norris, Leila Cheikh Ismail, Eric O. Ohuma, Fernando C. Barros, Ann Lambert, Maria Carvalho, Yasmin A. Jaffer, Michael Gravett, Manorama Purwar, Qingqing Wu, Enrico Bertino, Shama Munim, Aung Myat Min, Zulfiqar Bhutta, José Villar, Stephen H. Kennedy, J. Alison Noble, Aris T. Papageorghiou

npj Digit. Medicine, 2023

2021

A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry.

Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning.

Yuan Gao, Sridevi Beriwal, Rachel Craik, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020