Lok Hin Lee

According to our database, Lok Hin Lee authored at least 11 papers between 2020 and 2023.

Collaborative distances:

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

2023

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.

Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

IEEE Trans. Medical Imaging, May, 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

2022

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation.

Robail Yasrab, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation.

Elizaveta Savochkina, Lok Hin Lee, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves.

Clare Teng, Lok Hin Lee, Jayne Lander, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

2021

First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction.

Elizaveta Savochkina, Lok Hin Lee, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Principled Ultrasound Data Augmentation for Classification of Standard Planes.

Lok Hin Lee, Yuan Gao, J. Alison Noble

Proceedings of the Information Processing in Medical Imaging, 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

Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images.

Lok Hin Lee, Elizabeth Bradburn, Aris T. Papageorghiou, J. Alison Noble

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

Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks.

Lok Hin Lee, J. Alison Noble

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Generating Controllable Ultrasound Images of the Fetal Head.

Lok Hin Lee, J. Alison Noble

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020