Feng, Andrew

Federated learning for predicting clinical outcomes in patients with COVID-19

Dayan, I., Roth, H. R., Zhong, A., Harouni, A., Gentili, A., Abidin, A. Z., Liu, A., Costa, A. B., Wood, B. J., Tsai, C.-S., et al. (2021) · Nature Medicine

Machine Learning in HealthcareCOVID-19 diagnosis using AI

Cited by 842

Privacy-Preserving Federated Brain Tumour Segmentation

Li, W., Milletarì, F., Xu, D., Rieke, N., Hancox, J., Zhu, W., Baust, M., Cheng, Y., Ourselin, S., Cardoso, M. J., et al. (2019) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataBrain Tumor Detection and Classification

Cited by 578

Virtual character performance from speech

Marsella, S., Xu, Y., Lhommet, M., Feng, A., Scherer, S., & Shapiro, A. (2013) · Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation

Human Motion and AnimationSocial Robot Interaction and HRI

Cited by 168

The Effect of An Animated Virtual Character on Mobile Chat Interactions

Kang, S.-H., Feng, A. W., Leuski, A., Casas, D., & Shapiro, A. (2015) · Proceedings of the 3rd International Conference on Human-Agent Interaction

Social Robot Interaction and HRISpeech and dialogue systems

Cited by 19