Statistics
Publications
33
Citations
2.8K
H-Index
20
Active since
2012
Andrew Feng is an author at University of Southern California specializing in computing, computer science, and machine learning.
Publications per year
2012–2024
33
33
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al. · Nature Medicine · 2021 · 720 citations · Full text
Privacy-Preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletarì, Daguang Xu et al. · Lecture notes in computer science · 2019 · 513 citations · Full text
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso, Wenqi Li, Richard Brown et al. · arXiv (Cornell University) · 2022 · 435 citations · Full text
Virtual character performance from speech
Stacy Marsella, Yuyu Xu, Margaux Lhommet et al. · 2013 · 168 citations
Language Studies, Linguistics, Computational Linguistics +16
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov et al. · IEEE Transactions on Medical Imaging · 2023 · 112 citations
1–5 of 33