Fighting deepfakes using body language analysis by Yasrab, R, Jiang, W, Riaz, A

VP18.07: First trimester scans: how much time does it take to acquire the CRL and NT? by Drukker, L, Yasrab, R, Noble, JA, Papageorghiou, AT

Predicting plant growth from time-series data using deep learning by Yasrab, R, Zhang, J, Smyth, P, Pound, MP

CNSEG-GAN: a lightweight generative adversarial network for segmentation of CRL and NT from first-trimester fetal ultrasound by Sarker, MD, Yasrab, R, Alsharid, M, Papageorghiou, A, Noble, J

D2ANET: Densely Attentional-Aware Network for first trimester ultrasound CRL and NT segmentation by Gridach, M, Yasrab, R, Drukker, L, Papageorghiou, A, Noble, JA

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound by Yasrab, R, Zhao, H, Fu, Z, Drukker, L, Papageorghiou, AT, Noble, JA

Anatomy-aware contrastive representation learning for fetal ultrasound by Fu, Z, Jiao, J, Yasrab, R, Drukker, L, Papageorghiou, AT, Noble, JA

Automated description and workflow analysis of fetal echocardiography in first-trimester ultrasound video scans by Yasrab, R, Alsharid, M, Sarker, MD, Zhao, H, Papageorghiou, A, Noble, J

Towards unsupervised ultrasound video clinical quality assessment with multi-modality data by Zhao, H, Zheng, Q, Teng, C, Yasrab, R, Drukker, L, Papageorghiou, AT, Noble, JA

End-to-end first trimester fetal ultrasound video automated CRL and NT segmentation by Yasrab, R, Fu, Z, Drukker, L, Lee, LH, Zhao, H, Papageorghiou, AT, Noble, J

A machine learning method for automated description and workflow analysis of first trimester ultrasound scans by Yasrab, R, Fu, Z, Zhao, H, Lee, LH, Sharma, H, Drukker, L, Papageorgiou, AT, Alison Noble, J