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Gaoxiang Luo
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Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals
L Peng, G Luo, A Walker, Z Zaiman, EK Jones, H Gupta, K Kersten, ...
Journal of the American Medical Informatics Association 30 (1), 54-63, 2023
162023
SAMCNet: towards a spatially explainable AI approach for classifying MxIF oncology data
M Farhadloo, C Molnar, G Luo, Y Li, S Shekhar, RL Maus, S Markovic, ...
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
72022
Rethinking Transfer Learning for Medical Image Classification
L Peng, H Liang, G Luo, T Li, J Sun
34th British Machine Vision Conference, 2023
22023
Ability of artificial intelligence to identify self-reported race in chest x-ray using pixel intensity counts
JL Burns, Z Zaiman, J Vanschaik, G Luo, L Peng, B Price, G Mathias, ...
Journal of Medical Imaging 10 (6), 061106-061106, 2023
12023
Reconciling computing infrastructure and data in federated learning
M Lee, G Luo, RRVR Kompella
US Patent App. 17/828,582, 2023
2023
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing
L Peng, G Luo, S Zhou, J Chen, Z Xu, R Zhang, J Sun
medRxiv, 2023.11. 24.23299002, 2023
2023
MURAJ: In Focus-Application of Artificial Intelligence to Help Fight COVID-19
G Luo
Minnesota Undergraduate Research & Academic Journal 4 (3), 2021
2021
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results
J Gupta, C Molnar, G Luo, J Knight, S Shekhar
arXiv preprint arXiv:2110.15866, 2021
2021
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